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Job Description Lead and Manage DevOps Teams: Oversee the design, development, and implementation of CI/CD pipelines, infrastructure automation, and cloud management across OCI and other cloud platforms. Cloud Infrastructure & Data Pipelines: Manage multi-cloud environments with a focus on OCI and other cloud providers such as AWS, Azure, and GCP. Design and manage data pipelines that support large-scale data processing and analytics across cloud services. Cloud-Based Integration & APIs: Implement and manage API-based integrations between cloud services, ensuring seamless communication and data flow. Leverage tools like OCI API Gateway for secure and scalable API management. CI/CD Pipelines: Design and implement robust CI/CD processes using Jenkins, Git, Bitbucket, and other tools. Integrate SonarQube for static code analysis and maintain high code quality. Infrastructure as Code (IaC): Use Terraform and OCI Resource Manager to automate infrastructure provisioning, management, and scaling. Test Automation: Implement and manage test automation frameworks like Selenium to streamline testing in deployment pipelines. Security & Code Quality: Implement security best practices and ensure OCI security features. Gen AI & MLOps Integration: Support the integration of Generative AI technologies, NLP, and MLOps tools to facilitate the deployment and automation of AI models. Monitoring, Logging & Observability: Implement comprehensive observability strategies using OCI Monitoring and other tools, ensuring visibility into the performance, health, and reliability of cloud systems. Utilize OCI Management Platform and third-party solutions for centralized logging, alerting, and metrics aggregation to monitor system behavior, detect anomalies, and respond to incidents in real time. Collaboration & Stakeholder Management: Collaborate with development, QA, operations, and data engineering teams to understand their needs and deliver effective solutions. Work closely with leadership to define and drive the DevOps strategy. Innovation: Explore and implement cutting-edge tools and practices, especially around cloud-native development, automation, data processing, and advanced technology integrations like Generative AI. Career Level - M3 Responsibilities Experience with containerization technologies (Docker) and orchestration tools (Kubernetes). Proven Experience in DevOps Management with multi-cloud environments, especially OCI. Strong hands-on experience with: CI/CD Tools: Jenkins, Git, Bitbucket, etc. Code Quality Tools: SonarQube or similar for static code analysis. Infrastructure as Code (IaC): Terraform, OCI Resource Manager, Ansible (or similar). Automation & Scripting: Python, Shell scripting, etc. Testing Frameworks: Experience with monitoring and logging tools such as Prometheus, Grafana, ELK stack or similar. Data Pipeline Management: Hands-on experience in designing, implementing, and managing data pipelines across cloud platforms. Cloud-Based Integration & APIs: Experience integrating cloud services using APIs and tools like OCI API Gateway for managing secure and scalable API communications. OCI Tooling Expertise: Experience with OCI Resource Manager, Oracle Kubernetes Engine (OKE), OCI Functions, and OCI Monitoring. Monitoring, Logging & Observability: Strong understanding of observability tools and platforms, including experience with OCI Monitoring, OCI Management Platform, centralized logging, and metrics collection tools like Prometheus, Grafana, or similar. Cloud Expertise: In-depth knowledge of OCI, with familiarity in AWS, Azure, or GCP. Strong experience with configuration management and automation tools such as Ansible, Chef puppet. Experience with Generative AI, NLP, and MLOps tools for model development and deployment. Strong understanding of security, compliance, and monitoring in cloud environments. Excellent leadership, communication, and project management skills. Qualifications Career Level - M3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Entity: Technology Job Family Group: IT&S Group Job Description: Work location Pune Experience- 4- 6 years (excluding internship), Required 3-5 years of experience in Azure You will work with A multi-disciplinary squad, engaging enterprise platform teams, data platform teams, vendors, third party resources in resilient and optimal operations of one or more business critical platform. Let me tell you about the role As a site reliability engineers, we will be responsible for building, maintaining and operating the software solutions, infrastructure and services that powers technology platforms. In this role, we work with a team of engineers and team members to ensure that the digital solutions are highly available, scalable, and secure and will be responsible for automating routine tasks, improving the solution's performance, and providing technical support to other teams. What you will deliver Ensure the reliability, performance, and scalability of large-scale, cloud-based applications and infrastructure. Creating automated solutions to improve operational aspects of the site. Ensure that applications and websites run smoothly and efficiently. Detect issues and automatically managing failures to keep systems up and running. Work with software developers, engineers, and operations teams to improve system performance. Analyse incidents to prevent future disruptions. What you will need to be successful (experience and qualifications) Technical Skills A bachelor's degree in computer science, engineering, or a related field or equivalent work experience. Relevant certifications (e.g., Azure cloud engineering, fundamentals, DevOps, architect certifications) can be helpful. Knowledge of networking concepts, protocols, and tools, willingness to learn new technologies and adapt to changing environments. Skilled in managing configuration, deployments, observability, handling and resolving incidents, including root cause analysis, managing and operating complex systems for scalability, availability and performance. Proficient in communication and collaboration skills to work effectively with development and operations teams. Software Skills Skilled in languages like Python, Go, Java, or Ruby, and scripting skills in Bash or PowerShell. Skilled in software engineering practices for full SDLC, including coding standards, code reviews, source control management, continuous deployments (e.g., Jenkins, GitLab CI, or CircleCI), testing, and operations. Skilled in building complex software systems end-to-end which have been optimally delivered and operated in production, should understand security and privacy standard methodologies as well as how to properly monitor, log, and alarm production systems. Infrastructure Skills Skilled knowledge of Linux/Unix systems, including system configuration, networking, and debugging. Expert in building and scaling infrastructure services using Microsoft Azure Skilled with infrastructure tools like Ansible, Puppet, Chef, or Terraform for infrastructure as code, monitoring tools (e.g., Prometheus, Grafana) and logging systems (e.g., ELK stack). Skilled in the understanding of using core cloud application infrastructure services including identity platforms, networking, storage, databases, containers, and serverless Skillful knowledge of databases, such as relational, graph, document, and key-value, including performance tuning and improvement Skills That Set You Apart Possess a passion for mentoring and coaching engineers in both technical and soft skills About Bp Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Additional Information We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. Even though the job is advertised as full time, please contact the hiring manager or the recruiter as flexible working arrangements may be considered. Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills: Agility core practices, Agility core practices, Analytics, API and platform design, Business Analysis, Cloud Platforms, Coaching, Communication, Configuration management and release, Continuous deployment and release, Data Structures and Algorithms (Inactive), Digital Project Management, Documentation and knowledge sharing, Facilitation, Information Security, iOS and Android development, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Relational Data Modelling, Risk Management, Scripting, Service operations and resiliency, Software Design and Development, Source control and code management {+ 4 more} Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Entity: Technology Job Family Group: IT&S Group Job Description: Work location Pune Experience- 4- 7 years (excluding internship), Required 2-3 years of experience in Azure You will work with A multi-disciplinary squad, engaging enterprise platform teams, data platform teams, vendors, third party resources in resilient and optimal operations of one or more business critical platform. Let me tell you about the role As a site reliability engineers, we will be responsible for building, maintaining and operating the software solutions, infrastructure and services that powers technology platforms. In this role, we work with a team of engineers and team members to ensure that the digital solutions are highly available, scalable, and secure and will be responsible for automating routine tasks, improving the solution's performance, and providing technical support to other teams. What you will deliver Ensure the reliability, performance, and scalability of large-scale, cloud-based applications and infrastructure. Creating automated solutions to improve operational aspects of the site. Ensure that applications and websites run smoothly and efficiently. Detect issues and automatically managing failures to keep systems up and running. Work with software developers, engineers, and operations teams to improve system performance. Analyse incidents to prevent future disruptions. What you will need to be successful (experience and qualifications) Technical Skills A bachelor's degree in computer science, engineering, or a related field or equivalent work experience. Relevant certifications (e.g., Azure cloud engineering, fundamentals, DevOps, architect certifications) can be helpful. Knowledge of networking concepts, protocols, and tools, willingness to learn new technologies and adapt to changing environments. Skilled in managing configuration, deployments, observability, handling and resolving incidents, including root cause analysis, managing and operating complex systems for scalability, availability and performance. Proficient in communication and collaboration skills to work effectively with development and operations teams. Software Skills Skilled in languages like Python, Go, Java, or Ruby, and scripting skills in Bash or PowerShell. Skilled in software engineering practices for full SDLC, including coding standards, code reviews, source control management, continuous deployments (e.g., Jenkins, GitLab CI, or CircleCI), testing, and operations. Skilled in building complex software systems end-to-end which have been optimally delivered and operated in production, should understand security and privacy standard methodologies as well as how to properly monitor, log, and alarm production systems. Infrastructure Skills Skilled knowledge of Linux/Unix systems, including system configuration, networking, and debugging. Expert in building and scaling infrastructure services using Microsoft Azure Skilled with infrastructure tools like Ansible, Puppet, Chef, or Terraform for infrastructure as code, monitoring tools (e.g., Prometheus, Grafana) and logging systems (e.g., ELK stack). Skilled in the understanding of using core cloud application infrastructure services including identity platforms, networking, storage, databases, containers, and serverless Skillful knowledge of databases, such as relational, graph, document, and key-value, including performance tuning and improvement Skills That Set You Apart Possess a passion for mentoring and coaching engineers in both technical and soft skills About Bp Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Additional Information We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. Even though the job is advertised as full time, please contact the hiring manager or the recruiter as flexible working arrangements may be considered. Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills: Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

hackajob is collaborating with Comcast to connect them with exceptional tech professionals for this role. Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for planning and designing new software and web applications. Analyzes, tests and assists with the integration of new applications. Documents all development activity. Assists with training non-technical personnel. Has in-depth experience, knowledge and skills in own discipline. Usually determines own work priorities. Acts as a resource for colleagues with less experience. Job Description C Title: Full-Stack Engineer with SRE Expertise Key Responsibilities Design and build scalable, resilient web applications and internal tools that support chaos engineering, failure injection, and resiliency analysis. Develop and maintain platforms that enhance observability, automation, and reliability for engineering teams. Architect and implement secure, cost-effective, and scalable AWS cloud infrastructure. Build and optimize CI/CD pipelines to support rapid, reliable software delivery. Define and manage Infrastructure as Code (IaC) using Terraform or similar tools. Implement robust monitoring, logging, and alerting systems to ensure high availability and performance. Collaborate with SRE, platform, and development teams to align tooling and infrastructure with business and operational goals. Mentor junior engineers and contribute to a culture of technical excellence and continuous learning. Stay current with industry trends and emerging technologies in both web development and cloud infrastructure. Required Qualifications 3+ years of experience in full-stack software development and/or site reliability engineering. Proficiency in at least one backend language (e.g., Go, Node.js, Python). Experience with modern frontend frameworks (e.g., React, Angular, Vue.js). Strong knowledge of AWS services (e.g., EC2, S3, RDS, Lambda). Hands-on experience with Infrastructure as Code (e.g., Terraform, CloudFormation). Experience building and maintaining CI/CD pipelines. Solid understanding of SRE principles, including SLAs, SLOs, and error budgets. Familiarity with observability tools (e.g., Prometheus, Grafana, Datadog). Ability to lead technical initiatives and drive cross-functional collaboration. Preferred Qualifications Experience with chaos engineering tools and methodologies. AWS certifications (e.g., Solutions Architect, DevOps Engineer). Experience with data visualization and reporting for engineering insights. Familiarity with container orchestration (e.g., Kubernetes, ECS). Disclaimer This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 5-7 Years

Job Description Lead and Manage DevOps Teams: Oversee the design, development, and implementation of CI/CD pipelines, infrastructure automation, and cloud management across OCI and other cloud platforms. Cloud Infrastructure & Data Pipelines: Manage multi-cloud environments with a focus on OCI and other cloud providers such as AWS, Azure, and GCP. Design and manage data pipelines that support large-scale data processing and analytics across cloud services. Cloud-Based Integration & APIs: Implement and manage API-based integrations between cloud services, ensuring seamless communication and data flow. Leverage tools like OCI API Gateway for secure and scalable API management. CI/CD Pipelines: Design and implement robust CI/CD processes using Jenkins, Git, Bitbucket, and other tools. Integrate SonarQube for static code analysis and maintain high code quality. Infrastructure as Code (IaC): Use Terraform and OCI Resource Manager to automate infrastructure provisioning, management, and scaling. Test Automation: Implement and manage test automation frameworks like Selenium to streamline testing in deployment pipelines. Security & Code Quality: Implement security best practices and ensure OCI security features. Gen AI & MLOps Integration: Support the integration of Generative AI technologies, NLP, and MLOps tools to facilitate the deployment and automation of AI models. Monitoring, Logging & Observability: Implement comprehensive observability strategies using OCI Monitoring and other tools, ensuring visibility into the performance, health, and reliability of cloud systems. Utilize OCI Management Platform and third-party solutions for centralized logging, alerting, and metrics aggregation to monitor system behavior, detect anomalies, and respond to incidents in real time. Collaboration & Stakeholder Management: Collaborate with development, QA, operations, and data engineering teams to understand their needs and deliver effective solutions. Work closely with leadership to define and drive the DevOps strategy. Innovation: Explore and implement cutting-edge tools and practices, especially around cloud-native development, automation, data processing, and advanced technology integrations like Generative AI. Career Level - M3 Responsibilities Experience with containerization technologies (Docker) and orchestration tools (Kubernetes). Proven Experience in DevOps Management with multi-cloud environments, especially OCI. Strong hands-on experience with: CI/CD Tools: Jenkins, Git, Bitbucket, etc. Code Quality Tools: SonarQube or similar for static code analysis. Infrastructure as Code (IaC): Terraform, OCI Resource Manager, Ansible (or similar). Automation & Scripting: Python, Shell scripting, etc. Testing Frameworks: Experience with monitoring and logging tools such as Prometheus, Grafana, ELK stack or similar. Data Pipeline Management: Hands-on experience in designing, implementing, and managing data pipelines across cloud platforms. Cloud-Based Integration & APIs: Experience integrating cloud services using APIs and tools like OCI API Gateway for managing secure and scalable API communications. OCI Tooling Expertise: Experience with OCI Resource Manager, Oracle Kubernetes Engine (OKE), OCI Functions, and OCI Monitoring. Monitoring, Logging & Observability: Strong understanding of observability tools and platforms, including experience with OCI Monitoring, OCI Management Platform, centralized logging, and metrics collection tools like Prometheus, Grafana, or similar. Cloud Expertise: In-depth knowledge of OCI, with familiarity in AWS, Azure, or GCP. Strong experience with configuration management and automation tools such as Ansible, Chef puppet. Experience with Generative AI, NLP, and MLOps tools for model development and deployment. Strong understanding of security, compliance, and monitoring in cloud environments. Excellent leadership, communication, and project management skills. Qualifications Career Level - M3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Job Reference # 312704BR Job Type Full Time Your role Do you have a knack for technology? Are you at your best when supporting others? We’re looking for someone like that to: Provide support to dynamic delivery team responsible for building, developing, and maintaining robust Linux platforms that support a large enterprise server estate Provide projects support in cutting-edge technologies such as Ansible, RHN, Satellite, Puppet, JSON, and cloud solutions like Azure. Regular verbal and written communication with business partners and other support teams to clarify details of Gitlab issue or service requests to enhance production vulnerabilities. Engineering knowledge of key technologies, such as RHEL 7/8/9, Puppet/Anisble, JSON, LVM/VxVM, VCS/ Cluster/RHCS, Commvault, Blade technology. Your team You will be member of Linux Engineering team, you will have the chance to enhance your skills in cutting-edge technologies such as Ansible, RHN, Satellite, Puppet, JSON, and cloud solutions like Azure. Additionally, you will be part of a vibrant Linux community, collaborating with other professional Linux/Unix engineers to share ideas and drive innovation. Your expertise University degree with 10+ years' experience in supporting UNIX based distributed computing environment with a large number of systems (2000+), a solid understanding of a UNIX-based operating system, preferable Solaris 10/11 and Red Hat Enterprise Linux 7/8 , Knowledge of Veritas Cluster Volume Manager /concepts and operations , Knowledge of Veritas Cluster server. Strong understanding and management of base operating systems, ensuring robust and efficient system design. Solid understanding of Unix-based operating systems, including Redhat Linux and Solaris. Familiarity with infrastructure management technologies, including automation tools like Ansible, Puppet, RHN, Satellite, YAML, JSON, Conman, yum RHNcli, and Jumpstart. Proficiency in using configuration management tools such as Ansible, Puppet, or Tanium. Familiarity with containerization technologies like AKS and Kubernetes. Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform. Strong scripting skills in languages such as Python, Ruby, Perl, Bash, or PowerShell. ‘ Knowledge of infrastructure as code (IaC) tools like Terraform. Experience with monitoring and logging tools such as Prometheus, Grafana, or ELK stack. Continuous improvement of processes and tools through regular feedback and iteration. About Us UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.. We have a presence in all major financial centers in more than 50 countries. Join us At UBS, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs. From gaining new experiences in different roles to acquiring fresh knowledge and skills, we know that great work is never done alone. We know that it's our people, with their unique backgrounds, skills, experience levels and interests, who drive our ongoing success. Together we’re more than ourselves. Ready to be part of #teamUBS and make an impact? Disclaimer / Policy Statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity You will help our clients navigate the complex world of modern data science and analytics. We'll look to you to provide advice to our clients on how best to design, implement, stabilise, and optimise internal controls utilising cutting edge and scalable AI & Big Data technologies. Your Key Responsibilities As a Senior AI/ML Engineer you Build and leverage cutting edge Gen AI & Big Data platforms to deliver insights to build a comprehensive Risk & Controls monitoring mechanisms. Creating executive reporting, proposals, and marketing material, ensuring the highest quality deliverables. Work within the team and leverage your knowledge and expertise to solve some of the most intriguing technical challenges in design and development of next generation AI & Data led Risk technology platform. Skills and Summary of Accountabilities: Develop robust AI/ML models to drive valuable insights and enhance the decision-making process across multiple business lines. Strong technical knowledge of Big Data Platforms, AI technologies around Large Language Models, Vector Databases, comprehensive DevOps services and full stack application development Lead the design and development of bespoke machine learning algorithms to achieve business objectives. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Good understanding of Machine learning/NLP/LLM/GenAI/deep learning, and generative AI techniques. Apply advanced machine learning techniques (like SVM, Decision Trees, Neural Networks, Random Forests, Gradient Boosting etc.) to complex problems. Ensure adherence to ethical AI guidelines and data governance policies. Utilize expertise in Prompt Engineering to design and implement innovative solutions for workflow orchestration, leveraging tools such as Python, Airflow, and Terraform. Collaborate closely with cross-functional teams, including data scientists, analysts, and other engineers, to identify opportunities for AI and analytics-driven improvements in the bank's operations and services. Stay up to date with the latest advancements in AI, analytics, and Prompt Engineering, ensuring remains at the forefront of innovation and maintains a competitive edge in the industry. Maintain and improve existing AI/ML architectures and ensure they continue to deliver significant results. Intellectual strength and flexibility to resolve complex problems and rationalise these into a workable solution which can then be delivered. Develop current and relevant client propositions, delivering timely high-quality output against stated project objectives. Willingness to learn, apply new and cutting-edge AI technologies to deliver insight driven business solutions. To qualify for the role you must have 4+ years of working experience in Large Scale AI/ML models and data science. Deep understanding of statistics, AI/ML algorithms, and predictive modeling. Proficiency in AI/ML programming languages like Python, R, SQL. Proficiency with a deep learning framework such as TensorFlow, PyTorch or Keras. Expertise in machine learning algorithms and data mining techniques (like SVM, Decision Trees, and Deep Learning Algorithms). Implement monitoring and logging tools to ensure AI model performance and reliability. Strong programming skills in Python including libraries for machine learning such as Scikit-learn, Pandas, NumPy, etc. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Automate tasks through Python scripting, databases, and other advanced technologies like databricks, synapse, ML, AI, ADF etc Should have good understanding of Git, JIRA, Change / Release management, build/deploy, CI/CD Azure Devops & Share Point. Strong understanding of Large Enterprise Applications like SAP, Oracle ERP & Microsoft Dynamics etc. Ideally, you'll also have Bachelor's Degree or above in mathematics, information systems, statistics, computer science, Data Science, or related disciplines. Relevant certifications are considered a plus Self-driven and creative problem-solver who enjoys the fast-paced world of software development and can perform well in a team. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity You will help our clients navigate the complex world of modern data science and analytics. We'll look to you to provide advice to our clients on how best to design, implement, stabilise, and optimise internal controls utilising cutting edge and scalable AI & Big Data technologies. Your Key Responsibilities As a Senior AI/ML Engineer you Build and leverage cutting edge Gen AI & Big Data platforms to deliver insights to build a comprehensive Risk & Controls monitoring mechanisms. Creating executive reporting, proposals, and marketing material, ensuring the highest quality deliverables. Work within the team and leverage your knowledge and expertise to solve some of the most intriguing technical challenges in design and development of next generation AI & Data led Risk technology platform. Skills and Summary of Accountabilities: Develop robust AI/ML models to drive valuable insights and enhance the decision-making process across multiple business lines. Strong technical knowledge of Big Data Platforms, AI technologies around Large Language Models, Vector Databases, comprehensive DevOps services and full stack application development Lead the design and development of bespoke machine learning algorithms to achieve business objectives. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Good understanding of Machine learning/NLP/LLM/GenAI/deep learning, and generative AI techniques. Apply advanced machine learning techniques (like SVM, Decision Trees, Neural Networks, Random Forests, Gradient Boosting etc.) to complex problems. Ensure adherence to ethical AI guidelines and data governance policies. Utilize expertise in Prompt Engineering to design and implement innovative solutions for workflow orchestration, leveraging tools such as Python, Airflow, and Terraform. Collaborate closely with cross-functional teams, including data scientists, analysts, and other engineers, to identify opportunities for AI and analytics-driven improvements in the bank's operations and services. Stay up to date with the latest advancements in AI, analytics, and Prompt Engineering, ensuring remains at the forefront of innovation and maintains a competitive edge in the industry. Maintain and improve existing AI/ML architectures and ensure they continue to deliver significant results. Intellectual strength and flexibility to resolve complex problems and rationalise these into a workable solution which can then be delivered. Develop current and relevant client propositions, delivering timely high-quality output against stated project objectives. Willingness to learn, apply new and cutting-edge AI technologies to deliver insight driven business solutions. To qualify for the role you must have 4+ years of working experience in Large Scale AI/ML models and data science. Deep understanding of statistics, AI/ML algorithms, and predictive modeling. Proficiency in AI/ML programming languages like Python, R, SQL. Proficiency with a deep learning framework such as TensorFlow, PyTorch or Keras. Expertise in machine learning algorithms and data mining techniques (like SVM, Decision Trees, and Deep Learning Algorithms). Implement monitoring and logging tools to ensure AI model performance and reliability. Strong programming skills in Python including libraries for machine learning such as Scikit-learn, Pandas, NumPy, etc. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Automate tasks through Python scripting, databases, and other advanced technologies like databricks, synapse, ML, AI, ADF etc Should have good understanding of Git, JIRA, Change / Release management, build/deploy, CI/CD Azure Devops & Share Point. Strong understanding of Large Enterprise Applications like SAP, Oracle ERP & Microsoft Dynamics etc. Ideally, you'll also have Bachelor's Degree or above in mathematics, information systems, statistics, computer science, Data Science, or related disciplines. Relevant certifications are considered a plus Self-driven and creative problem-solver who enjoys the fast-paced world of software development and can perform well in a team. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity You will help our clients navigate the complex world of modern data science and analytics. We'll look to you to provide advice to our clients on how best to design, implement, stabilise, and optimise internal controls utilising cutting edge and scalable AI & Big Data technologies. Your Key Responsibilities As a Senior AI/ML Engineer you Build and leverage cutting edge Gen AI & Big Data platforms to deliver insights to build a comprehensive Risk & Controls monitoring mechanisms. Creating executive reporting, proposals, and marketing material, ensuring the highest quality deliverables. Work within the team and leverage your knowledge and expertise to solve some of the most intriguing technical challenges in design and development of next generation AI & Data led Risk technology platform. Skills and Summary of Accountabilities: Develop robust AI/ML models to drive valuable insights and enhance the decision-making process across multiple business lines. Strong technical knowledge of Big Data Platforms, AI technologies around Large Language Models, Vector Databases, comprehensive DevOps services and full stack application development Lead the design and development of bespoke machine learning algorithms to achieve business objectives. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Good understanding of Machine learning/NLP/LLM/GenAI/deep learning, and generative AI techniques. Apply advanced machine learning techniques (like SVM, Decision Trees, Neural Networks, Random Forests, Gradient Boosting etc.) to complex problems. Ensure adherence to ethical AI guidelines and data governance policies. Utilize expertise in Prompt Engineering to design and implement innovative solutions for workflow orchestration, leveraging tools such as Python, Airflow, and Terraform. Collaborate closely with cross-functional teams, including data scientists, analysts, and other engineers, to identify opportunities for AI and analytics-driven improvements in the bank's operations and services. Stay up to date with the latest advancements in AI, analytics, and Prompt Engineering, ensuring remains at the forefront of innovation and maintains a competitive edge in the industry. Maintain and improve existing AI/ML architectures and ensure they continue to deliver significant results. Intellectual strength and flexibility to resolve complex problems and rationalise these into a workable solution which can then be delivered. Develop current and relevant client propositions, delivering timely high-quality output against stated project objectives. Willingness to learn, apply new and cutting-edge AI technologies to deliver insight driven business solutions. To qualify for the role you must have 4+ years of working experience in Large Scale AI/ML models and data science. Deep understanding of statistics, AI/ML algorithms, and predictive modeling. Proficiency in AI/ML programming languages like Python, R, SQL. Proficiency with a deep learning framework such as TensorFlow, PyTorch or Keras. Expertise in machine learning algorithms and data mining techniques (like SVM, Decision Trees, and Deep Learning Algorithms). Implement monitoring and logging tools to ensure AI model performance and reliability. Strong programming skills in Python including libraries for machine learning such as Scikit-learn, Pandas, NumPy, etc. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Automate tasks through Python scripting, databases, and other advanced technologies like databricks, synapse, ML, AI, ADF etc Should have good understanding of Git, JIRA, Change / Release management, build/deploy, CI/CD Azure Devops & Share Point. Strong understanding of Large Enterprise Applications like SAP, Oracle ERP & Microsoft Dynamics etc. Ideally, you'll also have Bachelor's Degree or above in mathematics, information systems, statistics, computer science, Data Science, or related disciplines. Relevant certifications are considered a plus Self-driven and creative problem-solver who enjoys the fast-paced world of software development and can perform well in a team. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Reliability Engineer – Release Quality WHAT MAKES US, US Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn and pursue outcomes with our prestigious financial clients, say Hello to SimCorp! At its foundation, SimCorp is guided by our values — caring, customer success-driven, collaborative, curious, and courageous. Our people-centered organization focuses on skills development, relationship building, and client success. We take pride in cultivating an environment where all team members can grow, feel heard, valued, and empowered. If you like what we’re saying, keep reading! WHY THIS ROLE IS IMPORTANT TO US We are seeking a skilled and motivated Reliability Engineer to join our team. As a member of the Release Quality Team, you will play a crucial role in ensuring the stability of our Analytics product and supporting the infrastructure that hosts our Analytics services. Candidate should have good communication skills, be collaborative and have a hunger to learn. Initially, you will be responsible for providing technical support, troubleshooting issues, and conducting post-mortems. As you grow with us, you will help lead the “You build it, you run it” philosophy, by developing robust monitoring strategies that will effectively inform developers and service owners of potential issues before they impact users. You will also help establish and promote good standards for developers to adhere to, ensuring our products and services remain reliable and efficient. WHAT YOU WILL BE RESPONSIBLE FOR Monitor and analyze the stability of our product and infrastructure Provide technical support and identify and resolve issues related to the Analytics services Conduct thorough post-mortem analyses to determine the root causes and devise plans to prevent future incidents Collaborate with development teams to establish best practices for stability and reliability Develop and implement stability monitoring capabilities to consistently inform developers and service owners of incidents and anomalies Help advocate for the "You build it, you run it" philosophy by involving developers and application owners early in the service development phases and ensuring they are notified when issues arise Maintain and improve security practices across the infrastructure. WHAT WE VALUE Essential Technical Skills Problem-solving mindset Thorough knowledge of Azure services, including Virtual Machines (VMs), Virtual Networks (VNets), Azure Storage, and Azure Active Directory Proficiency in Terraform for Infrastructure as Code Scripting knowledge ( Powershell / Bash / Python) Familiarity with monitoring and logging tools (DataDog, ElasticSearch, Kibana, Azure Monitor, etc) Basic understanding of Networking Other Technical Skills Experience implementing and managing escalation workflows for incident management tools Proficient monitoring and logging skills (Azure Monitor, Log Analytics, DataDog, ElasticSearch, Kibana) Proficient problem-solving skills and attention to detail Use of AI in a relevant context Knowledge of Cloud security best practices to secure cloud environments The ideal candidate has over 3+ years of experience working in a similar environment BENEFITS A attractive salary, bonus scheme, and pension are essential components of any employment package. At SimCorp, we believe we can offer more. In addition to the traditional benefits, we promote an effective work-life balance, including flexible work hours and a hybrid workplace model. As a large organization, we offer a wide range of career opportunities, with an individualized approach to professional development to support the career path you wish to pursue. NEXT STEPS Please send us your application in English via our career site as soon as possible, we process incoming applications continually . Please note that only applications sent through our system will be processed. At SimCorp, we recognize that bias can unintentionally occur in the recruitment process. To uphold fairness and equal opportunities for all applicants, we kindly ask you to exclude personal data such as photo, age, or any non-professional information from your application. Thank you for aiding us in our endeavor to mitigate biases in our recruitment process. For any questions you are welcome to contact Swati Pal(Swati.pal@simcorp.com) , Talent Acquisition Partner. If you are interested in being a part of SimCorp but are not sure this role is suitable, submit your CV anyway. SimCorp is on an exciting growth journey, and our Talent Acquisition Team is ready to assist you discover the right role for you. The approximate time to consider your CV is three weeks. We are eager to continually improve our talent acquisition process and make everyone’s experience positive and valuable. Therefore, during the process we will ask you to provide your feedback, which is highly appreciated. WHO WE ARE? For over 50 years, we have worked closely with investment and asset managers to become the world’s leading provider of integrated investment management solutions. We are 3,000+ colleagues with a broad range of nationalities, educations, professional experiences, ages, and backgrounds. SimCorp is an independent subsidiary of the Deutsche Börse Group. Following the recent merger with Axioma, we leverage the combined strength of our brands to provide an industry-leading, full, front-to-back offering for our clients. SimCorp is an equal-opportunity employer. We are committed to building a culture where diverse perspectives and expertise are integrated into our everyday work. We believe in the continual growth and development of our employees, so that we can provide best-in-class solutions to our clients. #Li-Hybrid

Job Title: AI Operations Engineer – GenAI & Traditional Models Location: NCR/Bangalore Experience Level: 1–2 years (Entry to Intermediate) About The Role We are seeking a hands-on, curious, and impact-driven AI Operations Engineer to join our Run & Maintain team for supporting production-grade Generative AI and Traditional ML models. This role is perfect for early-career Data Scientists or ML Engineers eager to step into the dynamic world of GenAI while deepening their skills in AI model lifecycle management, monitoring, and improvement. You’ll be on the frontlines—keeping AI systems healthy, reliable, and continually improving. Key Responsibilities Monitor and maintain health of production AI models (GenAI and traditional ML). Troubleshoot data/model/infra issues across model pipelines, APIs, embeddings, and prompt systems. Collaborate with Engineering and Data Science teams to deploy new versions and manage rollback if needed. Implement automated logging, alerting, and retraining pipelines. Handle prompt performance drift, input/output anomalies, latency issues, and quality regressions. Analyze feedback and real-world performance to propose model or prompt enhancements. Conduct A/B testing, manage baseline versioning and monitor model outputs over time. Document runbooks, RCA reports, model lineage and operational dashboards. Support GenAI adoption by assisting in evaluations, hallucination detection, and prompt optimization. Must-have Skills 1+ year of experience in Data Science, ML, or MLOps. Good grasp of ML lifecycle, model versioning, and basic monitoring principles. Strong Python skills with exposure to ML frameworks (scikit-learn, pandas, etc.). Basic familiarity with LLMs and interest in GenAI (OpenAI, Claude, etc.). Exposure to AWS/GCP/Azure or any MLOps tooling. Comfortable reading logs, parsing metrics, and triaging issues across the stack. Eagerness to work in a production support environment with proactive ownership. Nice-to-Have Skills Prompt engineering knowledge (system prompts, temperature, tokens, etc.). Hands-on with vector stores, embedding models, or LangChain/LlamaIndex. Experience with tools like MLflow, Prometheus, Grafana, Datadog, or equivalent. Basic understanding of retrieval pipelines or RAG architectures. Familiarity with CI/CD and containerization (Docker, GitHub Actions). Ideal Candidate Profile A strong starter who wants to go beyond notebooks and see AI in action. Obsessed with observability, explainability, and zero-downtime AI. Wants to build a foundation in GenAI while leveraging their traditional ML skills. A great communicator who enjoys cross-functional collaboration.

DevOps Engineer Key Responsibilities Design, implement, and manage scalable, secure, and highly available infrastructure on GCP Automate infrastructure provisioning using tools like Terraform or Deployment Manager Build and manage CI/CD pipelines using Jenkins, GitLab CI, or similar tools Manage containerized applications using Kubernetes (GKE) and Docker Monitor system performance and troubleshoot infrastructure issues using tools like Stackdriver, Prometheus, or Grafana Implement security best practices across cloud infrastructure and deployments Collaborate with development and operations teams to streamline release processes Ensure high availability, disaster recovery, and backup strategies are in place Participate in performance tuning and cost optimization of GCP resources Strong hands-on experience with Google Cloud Platform (GCP) services Harness as an optional skill. Proficiency in Infrastructure as Code tools like Terraform or Google Deployment Manager Experience with Kubernetes (especially GKE) and Docker Knowledge of CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or CircleCI Familiarity with scripting languages (e.g., Bash, Python) Experience with logging and monitoring tools (e.g., Stackdriver, Prometheus, ELK, Grafana) Understanding of networking, security, and IAM in a cloud environment Strong problem-solving and communication skills Experience in Agile environments and DevOps culture GCP Associate or Professional Cloud DevOps Engineer certification Experience With Helm, ArgoCD, Or Other GitOps Tools Familiarity with other cloud platforms (AWS, Azure) is a plus Knowledge of application performance tuning and cost management on GCP

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity You will help our clients navigate the complex world of modern data science and analytics. We'll look to you to provide advice to our clients on how best to design, implement, stabilise, and optimise internal controls utilising cutting edge and scalable AI & Big Data technologies. Your Key Responsibilities As a Senior AI/ML Engineer you Build and leverage cutting edge Gen AI & Big Data platforms to deliver insights to build a comprehensive Risk & Controls monitoring mechanisms. Creating executive reporting, proposals, and marketing material, ensuring the highest quality deliverables. Work within the team and leverage your knowledge and expertise to solve some of the most intriguing technical challenges in design and development of next generation AI & Data led Risk technology platform. Skills and Summary of Accountabilities: Develop robust AI/ML models to drive valuable insights and enhance the decision-making process across multiple business lines. Strong technical knowledge of Big Data Platforms, AI technologies around Large Language Models, Vector Databases, comprehensive DevOps services and full stack application development Lead the design and development of bespoke machine learning algorithms to achieve business objectives. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Good understanding of Machine learning/NLP/LLM/GenAI/deep learning, and generative AI techniques. Apply advanced machine learning techniques (like SVM, Decision Trees, Neural Networks, Random Forests, Gradient Boosting etc.) to complex problems. Ensure adherence to ethical AI guidelines and data governance policies. Utilize expertise in Prompt Engineering to design and implement innovative solutions for workflow orchestration, leveraging tools such as Python, Airflow, and Terraform. Collaborate closely with cross-functional teams, including data scientists, analysts, and other engineers, to identify opportunities for AI and analytics-driven improvements in the bank's operations and services. Stay up to date with the latest advancements in AI, analytics, and Prompt Engineering, ensuring remains at the forefront of innovation and maintains a competitive edge in the industry. Maintain and improve existing AI/ML architectures and ensure they continue to deliver significant results. Intellectual strength and flexibility to resolve complex problems and rationalise these into a workable solution which can then be delivered. Develop current and relevant client propositions, delivering timely high-quality output against stated project objectives. Willingness to learn, apply new and cutting-edge AI technologies to deliver insight driven business solutions. To qualify for the role you must have 4+ years of working experience in Large Scale AI/ML models and data science. Deep understanding of statistics, AI/ML algorithms, and predictive modeling. Proficiency in AI/ML programming languages like Python, R, SQL. Proficiency with a deep learning framework such as TensorFlow, PyTorch or Keras. Expertise in machine learning algorithms and data mining techniques (like SVM, Decision Trees, and Deep Learning Algorithms). Implement monitoring and logging tools to ensure AI model performance and reliability. Strong programming skills in Python including libraries for machine learning such as Scikit-learn, Pandas, NumPy, etc. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Automate tasks through Python scripting, databases, and other advanced technologies like databricks, synapse, ML, AI, ADF etc Should have good understanding of Git, JIRA, Change / Release management, build/deploy, CI/CD Azure Devops & Share Point. Strong understanding of Large Enterprise Applications like SAP, Oracle ERP & Microsoft Dynamics etc. Ideally, you'll also have Bachelor's Degree or above in mathematics, information systems, statistics, computer science, Data Science, or related disciplines. Relevant certifications are considered a plus Self-driven and creative problem-solver who enjoys the fast-paced world of software development and can perform well in a team. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity You will help our clients navigate the complex world of modern data science and analytics. We'll look to you to provide advice to our clients on how best to design, implement, stabilise, and optimise internal controls utilising cutting edge and scalable AI & Big Data technologies. Your Key Responsibilities As a Senior AI/ML Engineer you Build and leverage cutting edge Gen AI & Big Data platforms to deliver insights to build a comprehensive Risk & Controls monitoring mechanisms. Creating executive reporting, proposals, and marketing material, ensuring the highest quality deliverables. Work within the team and leverage your knowledge and expertise to solve some of the most intriguing technical challenges in design and development of next generation AI & Data led Risk technology platform. Skills and Summary of Accountabilities: Develop robust AI/ML models to drive valuable insights and enhance the decision-making process across multiple business lines. Strong technical knowledge of Big Data Platforms, AI technologies around Large Language Models, Vector Databases, comprehensive DevOps services and full stack application development Lead the design and development of bespoke machine learning algorithms to achieve business objectives. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Good understanding of Machine learning/NLP/LLM/GenAI/deep learning, and generative AI techniques. Apply advanced machine learning techniques (like SVM, Decision Trees, Neural Networks, Random Forests, Gradient Boosting etc.) to complex problems. Ensure adherence to ethical AI guidelines and data governance policies. Utilize expertise in Prompt Engineering to design and implement innovative solutions for workflow orchestration, leveraging tools such as Python, Airflow, and Terraform. Collaborate closely with cross-functional teams, including data scientists, analysts, and other engineers, to identify opportunities for AI and analytics-driven improvements in the bank's operations and services. Stay up to date with the latest advancements in AI, analytics, and Prompt Engineering, ensuring remains at the forefront of innovation and maintains a competitive edge in the industry. Maintain and improve existing AI/ML architectures and ensure they continue to deliver significant results. Intellectual strength and flexibility to resolve complex problems and rationalise these into a workable solution which can then be delivered. Develop current and relevant client propositions, delivering timely high-quality output against stated project objectives. Willingness to learn, apply new and cutting-edge AI technologies to deliver insight driven business solutions. To qualify for the role you must have 4+ years of working experience in Large Scale AI/ML models and data science. Deep understanding of statistics, AI/ML algorithms, and predictive modeling. Proficiency in AI/ML programming languages like Python, R, SQL. Proficiency with a deep learning framework such as TensorFlow, PyTorch or Keras. Expertise in machine learning algorithms and data mining techniques (like SVM, Decision Trees, and Deep Learning Algorithms). Implement monitoring and logging tools to ensure AI model performance and reliability. Strong programming skills in Python including libraries for machine learning such as Scikit-learn, Pandas, NumPy, etc. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Automate tasks through Python scripting, databases, and other advanced technologies like databricks, synapse, ML, AI, ADF etc Should have good understanding of Git, JIRA, Change / Release management, build/deploy, CI/CD Azure Devops & Share Point. Strong understanding of Large Enterprise Applications like SAP, Oracle ERP & Microsoft Dynamics etc. Ideally, you'll also have Bachelor's Degree or above in mathematics, information systems, statistics, computer science, Data Science, or related disciplines. Relevant certifications are considered a plus Self-driven and creative problem-solver who enjoys the fast-paced world of software development and can perform well in a team. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

About Chubb Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb employs approximately 40,000 people worldwide. Additional information can be found at: www.chubb.com. About Chubb India At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work® for the third consecutive year, a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive, innovate, and grow With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape. We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning. Position Details Job Title : Engineering lead (.Net) Function/Department : Technology Location : Hyderabad Employment Type : Full Time Reports To : Ravi Kumar Ranganadhan Role Overview Key Responsibilities We are seeking a highly experienced Engineering lead with deep expertise in the insurance domain—specifically in claims systems—to lead the design and development of scalable, cloud-based applications that power our claims platform and customer self-service capabilities. You will provide technical leadership across the full software development lifecycle, ensuring solutions are secure, performant, and aligned with business objectives. This role combines hands-on technical expertise with mentoring responsibilities, empowering a team of developers to deliver high-quality, production-grade systems that handle complex claims processes. Key Responsibilities Lead the design and delivery of modern, large-scale claims processing systems and self-service portals, integrating seamlessly with internal and external platforms. Build robust, cloud-native solutions (Azure preferred) to support claims automation, straight-through processing, and operational efficiency. Drive the migration of legacy claims systems to serverless, API-driven architectures, ensuring scalability, resilience, and compliance with industry standards. Develop and optimize applications that process large data sets, leveraging frameworks like Spring Batch and implementing centralized logging via ELK stack. Collaborate closely with claims business stakeholders, translating complex insurance requirements into technical solutions that enable faster claims resolution and improved customer experience. Mentor and guide a team of developers, fostering a culture of technical excellence, collaboration, and continuous learning. Ensure alignment with enterprise architecture standards, security guidelines, and data governance policies. Functional Competencies Deep insurance domain expertise, with a strong focus on claims processing, including First Notice of Loss (FNOL), adjudication, claims payments. Good to have experience in Self-Service Portals design and implementation for customer engagement and digital servicing. Familiarity with Rule-Based Engines for claims adjudication and auto decisioning. Ability to translate complex business requirements into scalable, user-centric technical solutions. Strong communication and collaboration skills to engage with claims operations, product owners, and business stakeholders. Technical Competencies 15+ years of software engineering experience, with at least 5 years in a leadership role. Proven experience in the insurance domain, with focus on Claims systems and self-service capabilities. Expertise in Microsoft Technology Stack: Angular, MEAN, C#, .NET Core, ASP.NET, MVC, Web API. Strong hands-on experience with SQL Server and Cosmos DB: database design, optimization, PL/SQL, stored procedures, triggers. Proficiency in REST API development, Microservices architecture, and Open API/Swagger specifications. Experience with messaging and streaming tools: MQ, Kafka. Knowledge of cloud platforms (Azure preferred), serverless architectures, Docker, Kubernetes. CI/CD and DevOps expertise: Git, Jenkins, Maven, Azure DevOps pipelines. Familiarity with Spring Batch Framework and ELK stack for logging and data processing. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. Knowledge of insurance regulatory frameworks and standards (e.g., GDPR, MAS, PDPA) is a plus. Exposure to claims fraud detection, analytics, or AI/ML-driven claims processing is an advantage. Why Chubb? Join Chubb to be part of a leading global insurance company! Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results. Industry leader: Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence A Great Place to work: Chubb India has been recognized as a Great Place to Work® for the years 2023-2024, 2024-2025 and 2025-2026 Laser focus on excellence : At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being. We constantly seek new and innovative ways to excel at work and deliver outstanding results Start-Up Culture : Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements, while a culture of ownership empowers employees to drive results that matter Growth and success : As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience, enabling them to advance their careers in a conducive environment Employee Benefits Our company offers a comprehensive benefits package designed to support our employees’ health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage, including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and career advancement programs, while fostering a supportive and inclusive work environment. Our benefits include: Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease that help employees optimally plan their finances Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs. Health and Welfare Benefits: We care about our employees’ well-being in and out of work and have benefits like Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits. Join Us With you Chubb is better. Whether you are solving challenges on a global stage or creating innovative solutions for local markets, your contributions will help shape the future. If you value integrity, innovation, and inclusion , and are ready to make a difference, we invite you to be part of Chubb India’s journey . Apply Now : Chubb External Careers

Udrive is the largest car sharing platform in the Middle East. We pioneered the concept in the region and have continued to provide the best experience amongst our peers. We are in rapid expansion and are looking for a bright, successful and determined individual who has the experience to take the companies vision forwards into the next 5 years. Our next 5 years journey not only includes regional and global aspirations; we are building the next generation of mobility services to change the way people use vehicles We are looking for a React Native Engineer for our Mobile App. The Mobile App team is responsible for the mobile app used by our B2C users to register as well as complete their journey with Udrive cars initiation to end. Your Responsibilities You will be part of our new mobile team which is part of our customer journey domain and you will work together with a cross-functional team You strive to offer the best possible experience for our customers on mobile devices You contribute to the implementation of business requirements as well as to architectural decisions You ensure that your code is well tested, architected, meets our coding standards, and has proper logging, monitoring, and alerting Your goal is to provide always-accessible information in the most convenient way, to have better engagement and an overall outstanding user experience Your Profile You have experience building high-performance mobile React Native applications on both iOS and Android platforms Ability to translate Figma based designs to mobile interactions with pixel perfections You show excellent knowledge of JavaScript and its nuances, including TypeScript. You have experience with building real-time analytics solutions and streaming platforms You are familiar with native build tools, like XCode, Gradle and store submission processes It is great if you have an understanding of REST APIs, the document request model, and offline storage The most important one : Willingness to learn. We are constantly learning new things and we enjoy it a lot. We don't expect to find people experienced in all of them. If you are excited about our tech-stack and you think you are a fast learner, do not hesitate to apply! Skills:- React Native, React.js, Javascript, RESTful APIs, Relational Database (RDBMS), AngularJS (1.x), Angular (2+), Android Development, iOS App Development, Xcode, Model-View-View-Model (MVVM), MVC Framework and TypeScript

Key Responsibilities & Activities Requirement Gathering & Analysis ○ Engage with clients to understand their business processes and objectives. ○ Conduct in-depth analysis of client requirements to identify specific needs. ○ Provide process consulting by mapping ‘as-is’ and ‘to-be’ processes to ensure maximum utilization of standard Odoo features. Odoo Setup & Configuration ○ Set up Odoo environments based on the customer’s hosting preferences. ○ Configure Odoo applications to align with client-specific business workflows. ○ Set up companies, users, and access rights based on organizational structure and security needs. Functional Architecting (for Customization Requirements) ○ Conduct GAP analysis to identify business requirements that necessitate custom development. ○ Define functional workflows for business processes requiring customization. ○ Draft user stories or detailed functional specifications to guide the technical team. Data Migration ○ Plan and execute data migration strategies from legacy systems to Odoo. ○ Perform data imports (via templates or scripts) and validate data accuracy post-migration. ○ Troubleshoot and resolve any data-related discrepancies. Training ○ Conduct end-user training sessions on both standard and customized Odoo features. ○ Develop training materials and user documentation for effective onboarding. ○ Provide ongoing support and address user queries during the training phase. Testing ○ Perform functional testing to ensure quality before delivering features to the client. ○ Support clients during User Acceptance Testing (UAT) and follow up to ensure completion. ○ Define success criteria for user stories involving development or customization. Go-live ○ Plan and execute cutover activities for go-live. ○ Ensure smooth transition and provide immediate support during the go-live period. ○ Maintain high availability and responsiveness during this critical phase. Support ○ Provide ongoing support to end-users after implementation. ○ Resolve functional issues and respond to support requests promptly. ○ Ensure service levels are maintained in accordance with agreed SLAs. Documentation ○ Create and maintain Business Requirement Documents (BRDs) and Functional Specifications (FSDs/User Stories). ○ Prepare user guides and manuals for custom-developed features. ○ Ensure documentation remains up-to-date with ongoing changes and improvements. Stakeholder Communication ○ Maintain proactive and transparent communication with clients regarding project progress. ○ Conduct regular project review meetings to ensure alignment with client expectations. Project Management ○ Manage project timelines, milestones, and deliverables to ensure successful implementation. ○ Utilize Aktiv's project management system for tracking tasks and logging timesheets. Team Collaboration ○ Work closely with developers, technical leads, and other consultants to deliver integrated solutions. ○ Participate in regular internal meetings to align project activities. ○ Support the sales team during pre-sales by providing expert consultation. Strategic Involvement ○ Contribute to continuous improvement initiatives for internal processes & systems and project delivery standards. ○ Assist in the creation of Standard Operating Procedures (SOPs). ○ Mentor junior consultants or business analysts and support their development through structured training plans. Skills:- Business requirements, Enterprise Resource Planning (ERP), Odoo (OpenERP), Solution architecture, Business Analysis, IT consulting, Effective communication and Communication Skills

Project Role : Infra Tech Support Practitioner Project Role Description : Provide ongoing technical support and maintenance of production and development systems and software products (both remote and onsite) and for configured services running on various platforms (operating within a defined operating model and processes). Provide hardware/software support and implement technology at the operating system-level across all server and network areas, and for particular software solutions/vendors/brands. Work includes L1 and L2/ basic and intermediate level troubleshooting. Must have skills : GCP Dataflow Good to have skills : DevOps ArchitectureMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time educationKey Responsibilities (This field is Mandatory Character limit 500)a. Assessment of the Solution Architects' design from Operations point of view and implementation of it along with end users' communication. Onboarding of new services keeping all different aspects in mind.b. Carrying out Day-to-day operations like execution of service requests, changes, Incidents, problems, demands.c. protecting SLA and KPI. Technical Experience (Mandatory Field, Character limit 500)a. Basic knowledge on UNIX commands, python scripting, Json, YAML, Macro driven excel.b. Indepth Knowledge and experience on several GCP services like VPC Network, network services, hybrid connecitvity, IAM & Admin, App Engine, Cloud Functions, Cloud Storage, Cloud Logging, GCP Organizations, gcloud commands, Gsuit.c. Also Good experience on Terraform and GITlab.Professional Experience (Mandatory Field, Character limit 300)Good in verbal, written communication and presentation; interacting with clients at varying levels.Good team player. Qualification 15 years full time education

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA As a Networking Managed Services Engineer (L2) at NTT DATA, you'll take on a developing engineering role where your main goal is to ensure our clients' IT infrastructure and systems remain operational. You'll achieve this by proactively monitoring, identifying, investigating, and resolving technical incidents and problems. You'll work closely with our clients and internal teams to ensure that services are restored swiftly, in line with our service level agreements (SLAs). Your day will revolve around reviewing client requests and tickets, applying your technical expertise to resolve them efficiently and effectively. You'll be the go-to person for second-line support, handling incidents and requests of medium complexity. In addition to your daily tasks, you'll have opportunities to contribute to exciting project work from time to time. You'll proactively monitor work queues, execute operational tasks, and update tickets with the actions you've taken. Identifying, analysing, and logging issues before they escalate will be a key part of your role. You'll communicate with other teams and clients to provide support and ensure that changes are executed with clear risk identification and mitigation plans. As part of the shift handover process, you'll highlight key tickets and upcoming critical tasks for the next shift. When needed, you'll escalate tickets to ensure the right focus from our Centres of Excellence (CoE) and other teams. Collaborating with our automation teams, you'll work on optimizing efforts and automating routine tasks, all while coaching our Service desk and L1 teams in both technical and behavioural skills. You'll also establish monitoring for client infrastructure, leading and managing initial client escalations for operational issues. Contributing to the change management process, you'll log change requests, execute approved maintenance activities, and audit incident and request tickets for quality. Your insights will drive trend analysis reports, identifying tasks suitable for automation to reduce tickets and optimize efforts. You might also support disaster recovery functions and other related tasks as needed. To thrive in this role, you need to have: Proficiency in technologies such as Pulse Secure SSL VPN, Palo Alto, Fortinet, Cisco Nexus switches/routers/firewalls, and more familiarity with ticketing tools. At least one technical certification in the above-mentioned technologies. Strong planning skills, with the ability to anticipate and adapt to changing circumstances. Adaptability and resilience in a dynamic work environment. Ability to communicate and work effectively across different cultures and social groups. Proficiency in active listening and client-centric communication. A positive outlook and the ability to work well under pressure. A client-first attitude, always seeking to create positive client experiences. A bachelor's degree or equivalent qualification in IT/Computing, or equivalent work experience. Workplace type: On-site Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Role: Release and Continuous Deployment Manager The Opportunity We are seeking a highly skilled and experienced Release and Continuous Deployment Manager to join our team. The ideal candidate will have extensive experience in automating infrastructure and platform provisioning across on-premises and cloud environments using Terraform and Helm charts. This role involves designing and implementing Infrastructure as Code (IaC) solutions for scalable and efficient deployments. Your key responsibilities: Infrastructure Automation: Design and implement automated infrastructure provisioning solutions using Terraform and Helm charts for both on-premises and cloud environments. Automation of Automation: Leverage advanced technologies such as Retrieval-Augmented Generation (RAG) and LLAMA to generate test cases from Open API specifications. Develop a robust test engine for execution and reporting to enhance testing efficiency. Technical Leadership: Provide strategic direction and technical leadership, offering architectural blueprints for seamless project execution. Automation as a Service (AaaS): Lead the development of AaaS, delivering streamlined automation solutions to cross-functional teams. Innovative Test Platform: Engineer and enhance a test platform that automatically triggers automation suites and integrates InfoSec automation to support seamless, secure, and efficient daily production deployments. Data Controller Development: Create a Data Controller for functional, performance, and security testing, automating data generation, cleansing, and clearing to ensure consistent and efficient test execution. Backup and Restore Mechanisms: Implement automated backup and restore mechanisms to significantly reduce test setup time and enable rapid test environment recovery. On-Demand Pipelines: Architect on-demand Jenkins/GitLab pipelines to minimize environment provisioning time. Containerized Test Platform: Design a zero-footprint, containerized test platform for automation across diverse environments. Scalability Mastery: Architect a scalable test platform that dynamically adjusts nodes based on workload demands, both on-premises and in the cloud. AI Integration: Integrate AI for test case generation, test data generation, and execution to optimize testing efficiency. Test Pyramid Optimization: Reduce the test pyramid size to improve testing efficiency and coverage. Tool & Solution Development: Develop cutting-edge tools for Automation of Automation, UI/API-Driven Testing, and Zero Footprint Environment. Seamlessly integrate testing tools with collaboration platforms to enhance team productivity. Automated Reporting & Analytics: Implement automated reporting and analytics for deeper testing insights. Skills And Attributes For Success Technical Expertise: Technologies: GraphQL, Kubernetes, Docker, Terraform, ELK Stack, Strapi, Restful API, Prisma. Frameworks: Automation frameworks using Java, Elasticsearch, TestNG, and MindMap. Performance Testing: JMeter, Gatling, and custom test platforms. UI Development: ReactJS, NodeJS, MeteorJS. Cloud Platforms: GCP, Azure, AWS. Languages: Java, Python, JavaScript, Perl. KPI Dashboards: PowerBI, Grafana, InfluxDB, ReportPortal. DevOps & Infrastructure Automation: DevOps as a Service (DaaS): Design self-service platforms for pipeline creation, deployment automation, and dynamic infrastructure provisioning. CI/CD Pipeline Automation: Develop smart commit-driven workflows using Jenkins and GitLab CI/CD to ensure seamless code integration and deployment. Infrastructure as Code (IaC): Automate infrastructure provisioning using Terraform to enable scalable cloud architectures. Hybrid & Multi-Cloud Architectures: Hands-on expertise with AWS and Azure, optimizing cloud costs and leveraging Kubernetes for container orchestration. Monitoring & Observability: Implement Grafana, Prometheus, ELK Stack, and PowerBI for real-time insights, predictive analytics, and proactive issue resolution. Test Architecture & Automation: Containerized Test Platform: Design a scalable, zero-footprint test automation framework that dynamically adjusts execution nodes based on workload. Test Optimization & Pyramid Strategy: Implement a test pyramid approach to reduce execution time while improving test coverage. Performance & Security Testing: Integrate JMeter, Gatling, and custom performance platforms within CI/CD pipelines to ensure software reliability. Automated Reporting & Analytics: Develop AI-driven test reporting dashboards to enable faster feedback loops and root cause analysis. Innovation & Solution Development: On-Demand Pipelines: Develop on-demand Jenkins/GitLab pipelines to reduce environment provisioning time. API-First Testing Solutions: Architect API-first testing solutions integrating with GraphQL, RESTful APIs, Strapi, and Prisma. AI-Based Analytics: Design AI-based analytics to identify bottlenecks and improve system reliability. Technical Skills: DevOps Architecture and Automation: Expertise in designing and managing end-to-end automation pipelines using Jenkins, GitLab, and Pipeline as Code strategies. Infrastructure as Code (IaC): Proficient in Terraform, CloudFormation, and Ansible for automated provisioning and configuration. Containerization and Orchestration: Skilled in Kubernetes, Docker, and Cloud Foundry for scalable, containerized application deployments. Cloud Platforms: Hands-on experience with AWS, Azure, and GCP for cloud-native architecture and virtualization. Monitoring and Logging: Strong experience with ELK Stack, Grafana, InfluxDB, and PowerBI for KPI dashboards and analytics. API Management: Expertise in GraphQL, RESTful APIs, Strapi, and Prisma for developing and managing APIs. Performance Testing: Skilled in tools like JMeter, Gatling, and custom performance platforms for capacity planning and system optimization. Framework Development: Developed automation frameworks using Java, Elasticsearch, and TestNG for seamless test case automation and reporting. Swagger API Test Data Generation: Automated Swagger API Test Data generation and execution using Restler and Zap for enhanced API testing capabilities. UI Development: Proficient in modern web technologies like ReactJS, NodeJS, and MeteorJS for building dynamic user interfaces. Programming Languages: Proficient in Java, Python, JavaScript, Shell, and Perl for automation, scripting, and software development. KPI Dashboards: Designed and implemented real-time KPI Dashboards with tools like Grafana, PowerBI, and ReportPortal to track system health and operational metrics. What We Look For A self-starter, independent-thinker, curious and creative person with ambition and passion What We Offer At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

JOB DESCRIPTION Business Manager-Frontline Location : Gurgaon Experience : 1+ years About Ambak Ambak is revolutionizing home finance with cutting-edge distribution solutions that enhance the experience for customers, financiers, and intermediaries by partnering with real estate developers, providing faster loan approvals through our extensive lender network, which boosts sales and improves customer experience Founded by industry leaders from Axis Bank, Uber, Cars24, PolicyBazaar, Freecharge, and more, we are on a mission to make home financing in India simpler, faster, and more transparent With operations expanding across India and we are now hiring a Business Manager-Frontline to fuel our next phase of growth. About the job Pitch our home loan solutions to potential customers, offering tailored solutions based on their financial profiles You will manage the complete loan process, from collecting necessary documents to coordinating with banks and customers, ensuring seamless and timely loan processing Your efforts will directly contribute to providing exceptional customer experiences and driving conversions . Major Job responsibilities would be as under: Engage with customers to understand financial needs and drive loan conversions Collect accurate loan application information and documents, ensuring compliance Visit customers as needed based on application requirements Guide customers on the loan process, TAT, and document requirements (KYC, etc) Adhere to organizational TAT, SLAs, and SOPs to maximize quality and conversions Possess in-depth knowledge of products and financiers, advising customers on the best options Who is an ideal fit: What We Offer: 1-5 years of experience in home loan/LAP sales (Banks/NBFC/Fintech) Be a founding enabler in redefining home financing in India Drive impact in a a global VCs backed, high-growth fintech Build strategies from ground up Excellent interpersonal and communication skills Proficient in Microsoft Office Work closely with visionary leaders and disrupt traditional operating procedures Willing to conduct customer visits when required Quick to adapt to new systems Your Success Partner: People and Culture Team

Job Title: Python REST API Developer Your Mission Join Global BI Development Team as we shape the future of our BI landscape in the Azure Cloud. As a key member of the team, you’ll focus on building and maintaining robust, scalable, and well-documented REST APIs that power our Data-as-a-Service platform (API Portal). You’ll work closely with stakeholders to ensure reliable data delivery, clean design, and seamless integration across systems. Your Responsibilities Develop and maintain Python-based REST APIs with a strong focus on OpenAPI (Swagger) specifications and clean, testable code. Collaborate with internal teams to align on data structures, endpoints, versioning strategies, and deployment timelines. Work with tools such as Postman and Swagger UI to validate and document API endpoints. Monitor and enhance the performance, reliability, and security of deployed APIs. Support consumers of the APIs by maintaining clear documentation and assisting with technical queries. Contribute to continuous improvement efforts in our development practices, code quality, and system observability (e.g., logging, error handling). Use GitHub, Azure DevOps, or similar tools for version control and CI/CD workflows. Your Profile Strong experience (3+ years) in backend development using Python (e.g., FastAPI, Flask). Solid understanding of REST API design, versioning, authentication, and documentation (especially OpenAPI/Swagger). Proficient in using tools like Postman, VS Code, GitHub, and working with SQL-based databases. Familiar with Azure Functions or cloud-based deployment patterns (experience with Azure is a plus but not mandatory). Comfortable troubleshooting technical issues, analyzing logs, and collaborating with support or development teams to identify root causes. Experience or interest in distributed data processing with Spark or real-time data pipelines using Kafka is a plus, but not required. Team player with a collaborative mindset and a proactive approach to sharing knowledge and solving problems. Fluent in English, written and spoken.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Role: Release and Continuous Deployment Manager The Opportunity We are seeking a highly skilled and experienced Release and Continuous Deployment Manager to join our team. The ideal candidate will have extensive experience in automating infrastructure and platform provisioning across on-premises and cloud environments using Terraform and Helm charts. This role involves designing and implementing Infrastructure as Code (IaC) solutions for scalable and efficient deployments. Your key responsibilities: Infrastructure Automation: Design and implement automated infrastructure provisioning solutions using Terraform and Helm charts for both on-premises and cloud environments. Automation of Automation: Leverage advanced technologies such as Retrieval-Augmented Generation (RAG) and LLAMA to generate test cases from Open API specifications. Develop a robust test engine for execution and reporting to enhance testing efficiency. Technical Leadership: Provide strategic direction and technical leadership, offering architectural blueprints for seamless project execution. Automation as a Service (AaaS): Lead the development of AaaS, delivering streamlined automation solutions to cross-functional teams. Innovative Test Platform: Engineer and enhance a test platform that automatically triggers automation suites and integrates InfoSec automation to support seamless, secure, and efficient daily production deployments. Data Controller Development: Create a Data Controller for functional, performance, and security testing, automating data generation, cleansing, and clearing to ensure consistent and efficient test execution. Backup and Restore Mechanisms: Implement automated backup and restore mechanisms to significantly reduce test setup time and enable rapid test environment recovery. On-Demand Pipelines: Architect on-demand Jenkins/GitLab pipelines to minimize environment provisioning time. Containerized Test Platform: Design a zero-footprint, containerized test platform for automation across diverse environments. Scalability Mastery: Architect a scalable test platform that dynamically adjusts nodes based on workload demands, both on-premises and in the cloud. AI Integration: Integrate AI for test case generation, test data generation, and execution to optimize testing efficiency. Test Pyramid Optimization: Reduce the test pyramid size to improve testing efficiency and coverage. Tool & Solution Development: Develop cutting-edge tools for Automation of Automation, UI/API-Driven Testing, and Zero Footprint Environment. Seamlessly integrate testing tools with collaboration platforms to enhance team productivity. Automated Reporting & Analytics: Implement automated reporting and analytics for deeper testing insights. Skills And Attributes For Success Technical Expertise: Technologies: GraphQL, Kubernetes, Docker, Terraform, ELK Stack, Strapi, Restful API, Prisma. Frameworks: Automation frameworks using Java, Elasticsearch, TestNG, and MindMap. Performance Testing: JMeter, Gatling, and custom test platforms. UI Development: ReactJS, NodeJS, MeteorJS. Cloud Platforms: GCP, Azure, AWS. Languages: Java, Python, JavaScript, Perl. KPI Dashboards: PowerBI, Grafana, InfluxDB, ReportPortal. DevOps & Infrastructure Automation: DevOps as a Service (DaaS): Design self-service platforms for pipeline creation, deployment automation, and dynamic infrastructure provisioning. CI/CD Pipeline Automation: Develop smart commit-driven workflows using Jenkins and GitLab CI/CD to ensure seamless code integration and deployment. Infrastructure as Code (IaC): Automate infrastructure provisioning using Terraform to enable scalable cloud architectures. Hybrid & Multi-Cloud Architectures: Hands-on expertise with AWS and Azure, optimizing cloud costs and leveraging Kubernetes for container orchestration. Monitoring & Observability: Implement Grafana, Prometheus, ELK Stack, and PowerBI for real-time insights, predictive analytics, and proactive issue resolution. Test Architecture & Automation: Containerized Test Platform: Design a scalable, zero-footprint test automation framework that dynamically adjusts execution nodes based on workload. Test Optimization & Pyramid Strategy: Implement a test pyramid approach to reduce execution time while improving test coverage. Performance & Security Testing: Integrate JMeter, Gatling, and custom performance platforms within CI/CD pipelines to ensure software reliability. Automated Reporting & Analytics: Develop AI-driven test reporting dashboards to enable faster feedback loops and root cause analysis. Innovation & Solution Development: On-Demand Pipelines: Develop on-demand Jenkins/GitLab pipelines to reduce environment provisioning time. API-First Testing Solutions: Architect API-first testing solutions integrating with GraphQL, RESTful APIs, Strapi, and Prisma. AI-Based Analytics: Design AI-based analytics to identify bottlenecks and improve system reliability. Technical Skills: DevOps Architecture and Automation: Expertise in designing and managing end-to-end automation pipelines using Jenkins, GitLab, and Pipeline as Code strategies. Infrastructure as Code (IaC): Proficient in Terraform, CloudFormation, and Ansible for automated provisioning and configuration. Containerization and Orchestration: Skilled in Kubernetes, Docker, and Cloud Foundry for scalable, containerized application deployments. Cloud Platforms: Hands-on experience with AWS, Azure, and GCP for cloud-native architecture and virtualization. Monitoring and Logging: Strong experience with ELK Stack, Grafana, InfluxDB, and PowerBI for KPI dashboards and analytics. API Management: Expertise in GraphQL, RESTful APIs, Strapi, and Prisma for developing and managing APIs. Performance Testing: Skilled in tools like JMeter, Gatling, and custom performance platforms for capacity planning and system optimization. Framework Development: Developed automation frameworks using Java, Elasticsearch, and TestNG for seamless test case automation and reporting. Swagger API Test Data Generation: Automated Swagger API Test Data generation and execution using Restler and Zap for enhanced API testing capabilities. UI Development: Proficient in modern web technologies like ReactJS, NodeJS, and MeteorJS for building dynamic user interfaces. Programming Languages: Proficient in Java, Python, JavaScript, Shell, and Perl for automation, scripting, and software development. KPI Dashboards: Designed and implemented real-time KPI Dashboards with tools like Grafana, PowerBI, and ReportPortal to track system health and operational metrics. What We Look For A self-starter, independent-thinker, curious and creative person with ambition and passion What We Offer At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Role: Release and Continuous Deployment Manager The Opportunity We are seeking a highly skilled and experienced Release and Continuous Deployment Manager to join our team. The ideal candidate will have extensive experience in automating infrastructure and platform provisioning across on-premises and cloud environments using Terraform and Helm charts. This role involves designing and implementing Infrastructure as Code (IaC) solutions for scalable and efficient deployments. Your key responsibilities: Infrastructure Automation: Design and implement automated infrastructure provisioning solutions using Terraform and Helm charts for both on-premises and cloud environments. Automation of Automation: Leverage advanced technologies such as Retrieval-Augmented Generation (RAG) and LLAMA to generate test cases from Open API specifications. Develop a robust test engine for execution and reporting to enhance testing efficiency. Technical Leadership: Provide strategic direction and technical leadership, offering architectural blueprints for seamless project execution. Automation as a Service (AaaS): Lead the development of AaaS, delivering streamlined automation solutions to cross-functional teams. Innovative Test Platform: Engineer and enhance a test platform that automatically triggers automation suites and integrates InfoSec automation to support seamless, secure, and efficient daily production deployments. Data Controller Development: Create a Data Controller for functional, performance, and security testing, automating data generation, cleansing, and clearing to ensure consistent and efficient test execution. Backup and Restore Mechanisms: Implement automated backup and restore mechanisms to significantly reduce test setup time and enable rapid test environment recovery. On-Demand Pipelines: Architect on-demand Jenkins/GitLab pipelines to minimize environment provisioning time. Containerized Test Platform: Design a zero-footprint, containerized test platform for automation across diverse environments. Scalability Mastery: Architect a scalable test platform that dynamically adjusts nodes based on workload demands, both on-premises and in the cloud. AI Integration: Integrate AI for test case generation, test data generation, and execution to optimize testing efficiency. Test Pyramid Optimization: Reduce the test pyramid size to improve testing efficiency and coverage. Tool & Solution Development: Develop cutting-edge tools for Automation of Automation, UI/API-Driven Testing, and Zero Footprint Environment. Seamlessly integrate testing tools with collaboration platforms to enhance team productivity. Automated Reporting & Analytics: Implement automated reporting and analytics for deeper testing insights. Skills And Attributes For Success Technical Expertise: Technologies: GraphQL, Kubernetes, Docker, Terraform, ELK Stack, Strapi, Restful API, Prisma. Frameworks: Automation frameworks using Java, Elasticsearch, TestNG, and MindMap. Performance Testing: JMeter, Gatling, and custom test platforms. UI Development: ReactJS, NodeJS, MeteorJS. Cloud Platforms: GCP, Azure, AWS. Languages: Java, Python, JavaScript, Perl. KPI Dashboards: PowerBI, Grafana, InfluxDB, ReportPortal. DevOps & Infrastructure Automation: DevOps as a Service (DaaS): Design self-service platforms for pipeline creation, deployment automation, and dynamic infrastructure provisioning. CI/CD Pipeline Automation: Develop smart commit-driven workflows using Jenkins and GitLab CI/CD to ensure seamless code integration and deployment. Infrastructure as Code (IaC): Automate infrastructure provisioning using Terraform to enable scalable cloud architectures. Hybrid & Multi-Cloud Architectures: Hands-on expertise with AWS and Azure, optimizing cloud costs and leveraging Kubernetes for container orchestration. Monitoring & Observability: Implement Grafana, Prometheus, ELK Stack, and PowerBI for real-time insights, predictive analytics, and proactive issue resolution. Test Architecture & Automation: Containerized Test Platform: Design a scalable, zero-footprint test automation framework that dynamically adjusts execution nodes based on workload. Test Optimization & Pyramid Strategy: Implement a test pyramid approach to reduce execution time while improving test coverage. Performance & Security Testing: Integrate JMeter, Gatling, and custom performance platforms within CI/CD pipelines to ensure software reliability. Automated Reporting & Analytics: Develop AI-driven test reporting dashboards to enable faster feedback loops and root cause analysis. Innovation & Solution Development: On-Demand Pipelines: Develop on-demand Jenkins/GitLab pipelines to reduce environment provisioning time. API-First Testing Solutions: Architect API-first testing solutions integrating with GraphQL, RESTful APIs, Strapi, and Prisma. AI-Based Analytics: Design AI-based analytics to identify bottlenecks and improve system reliability. Technical Skills: DevOps Architecture and Automation: Expertise in designing and managing end-to-end automation pipelines using Jenkins, GitLab, and Pipeline as Code strategies. Infrastructure as Code (IaC): Proficient in Terraform, CloudFormation, and Ansible for automated provisioning and configuration. Containerization and Orchestration: Skilled in Kubernetes, Docker, and Cloud Foundry for scalable, containerized application deployments. Cloud Platforms: Hands-on experience with AWS, Azure, and GCP for cloud-native architecture and virtualization. Monitoring and Logging: Strong experience with ELK Stack, Grafana, InfluxDB, and PowerBI for KPI dashboards and analytics. API Management: Expertise in GraphQL, RESTful APIs, Strapi, and Prisma for developing and managing APIs. Performance Testing: Skilled in tools like JMeter, Gatling, and custom performance platforms for capacity planning and system optimization. Framework Development: Developed automation frameworks using Java, Elasticsearch, and TestNG for seamless test case automation and reporting. Swagger API Test Data Generation: Automated Swagger API Test Data generation and execution using Restler and Zap for enhanced API testing capabilities. UI Development: Proficient in modern web technologies like ReactJS, NodeJS, and MeteorJS for building dynamic user interfaces. Programming Languages: Proficient in Java, Python, JavaScript, Shell, and Perl for automation, scripting, and software development. KPI Dashboards: Designed and implemented real-time KPI Dashboards with tools like Grafana, PowerBI, and ReportPortal to track system health and operational metrics. What We Look For A self-starter, independent-thinker, curious and creative person with ambition and passion What We Offer At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Role: Release and Continuous Deployment Manager The Opportunity We are seeking a highly skilled and experienced Release and Continuous Deployment Manager to join our team. The ideal candidate will have extensive experience in automating infrastructure and platform provisioning across on-premises and cloud environments using Terraform and Helm charts. This role involves designing and implementing Infrastructure as Code (IaC) solutions for scalable and efficient deployments. Your key responsibilities: Infrastructure Automation: Design and implement automated infrastructure provisioning solutions using Terraform and Helm charts for both on-premises and cloud environments. Automation of Automation: Leverage advanced technologies such as Retrieval-Augmented Generation (RAG) and LLAMA to generate test cases from Open API specifications. Develop a robust test engine for execution and reporting to enhance testing efficiency. Technical Leadership: Provide strategic direction and technical leadership, offering architectural blueprints for seamless project execution. Automation as a Service (AaaS): Lead the development of AaaS, delivering streamlined automation solutions to cross-functional teams. Innovative Test Platform: Engineer and enhance a test platform that automatically triggers automation suites and integrates InfoSec automation to support seamless, secure, and efficient daily production deployments. Data Controller Development: Create a Data Controller for functional, performance, and security testing, automating data generation, cleansing, and clearing to ensure consistent and efficient test execution. Backup and Restore Mechanisms: Implement automated backup and restore mechanisms to significantly reduce test setup time and enable rapid test environment recovery. On-Demand Pipelines: Architect on-demand Jenkins/GitLab pipelines to minimize environment provisioning time. Containerized Test Platform: Design a zero-footprint, containerized test platform for automation across diverse environments. Scalability Mastery: Architect a scalable test platform that dynamically adjusts nodes based on workload demands, both on-premises and in the cloud. AI Integration: Integrate AI for test case generation, test data generation, and execution to optimize testing efficiency. Test Pyramid Optimization: Reduce the test pyramid size to improve testing efficiency and coverage. Tool & Solution Development: Develop cutting-edge tools for Automation of Automation, UI/API-Driven Testing, and Zero Footprint Environment. Seamlessly integrate testing tools with collaboration platforms to enhance team productivity. Automated Reporting & Analytics: Implement automated reporting and analytics for deeper testing insights. Skills And Attributes For Success Technical Expertise: Technologies: GraphQL, Kubernetes, Docker, Terraform, ELK Stack, Strapi, Restful API, Prisma. Frameworks: Automation frameworks using Java, Elasticsearch, TestNG, and MindMap. Performance Testing: JMeter, Gatling, and custom test platforms. UI Development: ReactJS, NodeJS, MeteorJS. Cloud Platforms: GCP, Azure, AWS. Languages: Java, Python, JavaScript, Perl. KPI Dashboards: PowerBI, Grafana, InfluxDB, ReportPortal. DevOps & Infrastructure Automation: DevOps as a Service (DaaS): Design self-service platforms for pipeline creation, deployment automation, and dynamic infrastructure provisioning. CI/CD Pipeline Automation: Develop smart commit-driven workflows using Jenkins and GitLab CI/CD to ensure seamless code integration and deployment. Infrastructure as Code (IaC): Automate infrastructure provisioning using Terraform to enable scalable cloud architectures. Hybrid & Multi-Cloud Architectures: Hands-on expertise with AWS and Azure, optimizing cloud costs and leveraging Kubernetes for container orchestration. Monitoring & Observability: Implement Grafana, Prometheus, ELK Stack, and PowerBI for real-time insights, predictive analytics, and proactive issue resolution. Test Architecture & Automation: Containerized Test Platform: Design a scalable, zero-footprint test automation framework that dynamically adjusts execution nodes based on workload. Test Optimization & Pyramid Strategy: Implement a test pyramid approach to reduce execution time while improving test coverage. Performance & Security Testing: Integrate JMeter, Gatling, and custom performance platforms within CI/CD pipelines to ensure software reliability. Automated Reporting & Analytics: Develop AI-driven test reporting dashboards to enable faster feedback loops and root cause analysis. Innovation & Solution Development: On-Demand Pipelines: Develop on-demand Jenkins/GitLab pipelines to reduce environment provisioning time. API-First Testing Solutions: Architect API-first testing solutions integrating with GraphQL, RESTful APIs, Strapi, and Prisma. AI-Based Analytics: Design AI-based analytics to identify bottlenecks and improve system reliability. Technical Skills: DevOps Architecture and Automation: Expertise in designing and managing end-to-end automation pipelines using Jenkins, GitLab, and Pipeline as Code strategies. Infrastructure as Code (IaC): Proficient in Terraform, CloudFormation, and Ansible for automated provisioning and configuration. Containerization and Orchestration: Skilled in Kubernetes, Docker, and Cloud Foundry for scalable, containerized application deployments. Cloud Platforms: Hands-on experience with AWS, Azure, and GCP for cloud-native architecture and virtualization. Monitoring and Logging: Strong experience with ELK Stack, Grafana, InfluxDB, and PowerBI for KPI dashboards and analytics. API Management: Expertise in GraphQL, RESTful APIs, Strapi, and Prisma for developing and managing APIs. Performance Testing: Skilled in tools like JMeter, Gatling, and custom performance platforms for capacity planning and system optimization. Framework Development: Developed automation frameworks using Java, Elasticsearch, and TestNG for seamless test case automation and reporting. Swagger API Test Data Generation: Automated Swagger API Test Data generation and execution using Restler and Zap for enhanced API testing capabilities. UI Development: Proficient in modern web technologies like ReactJS, NodeJS, and MeteorJS for building dynamic user interfaces. Programming Languages: Proficient in Java, Python, JavaScript, Shell, and Perl for automation, scripting, and software development. KPI Dashboards: Designed and implemented real-time KPI Dashboards with tools like Grafana, PowerBI, and ReportPortal to track system health and operational metrics. What We Look For A self-starter, independent-thinker, curious and creative person with ambition and passion What We Offer At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.