33021 Gcp Jobs - Page 36

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? This role will be part of the Regulatory Reporting team, we are currently modernizing our platform, migrating it to GCP. You will contribute towards making the platform more resilient and secure for future regulatory requirements and ensuring compliance and adherence to Federal Regulations. Preferably a BS degree in computer science, computer engineering, or other technical discipline 8+ years of software development experience Ability to effectively interpret technical and business objectives, identify challenges and articulate solutions Experience managing large teams, balancing multiple priorities Willingness to learn new technologies and exploit them to their optimal potential Strong experience with Regulatory Reporting, Finance Technology and Functional knowledge of key reports for Capital and Liquidity is a significant plus Strong background in developing integrated distributed solutions using Java, PL/SQL, Flink, AirFlow Cloud experience. Experience with GCP would be a plus Conduct Technology requirements gathering sessions with business partners. Define problems and articulate solution alternatives with recommendations Create detailed computer system design documentation Implement deployment plan flawlessly Conduct knowledge transfer with the objective of providing high-quality & seamless transition of critical systems Serve as expert consultant in different phases of the project including problem definition, effort estimation, solution generation, design and deployment. Under supervision participate in unit-level and organizational initiatives with the objective of providing high-quality and value adding consulting solutions. Understand issues and diagnose root-cause of issues. Perform secondary research as instructed by supervisor to assist in strategy and business planning. Minimum Qualifications: Strong experience with Data Engineering Development and large scale data pipelines processing systems Strong background with Java, Python, PL/SQL and ETL GCP experience with modernization and migration activities Preferred Qualifications: Finance/Regulatory Reporting experience Capital/Liquidity Functional Domain Knowledge We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

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. RCE-Risk Data Engineer-Leads Job Description: - Our Technology team builds innovative digital solutions rapidly and at scale to deliver the next generation of Financial and Non- Financial services across the globe. The Position is a senior technical, hands-on delivery role, requiring the knowledge of data engineering, cloud infrastructure and platform engineering, platform operations and production support using ground-breaking cloud and big data technologies. The ideal candidate with 8-10 years of relevant experience, will possess strong technical skills, an eagerness to learn, a keen interest on 3 keys pillars that our team support i.e. Financial Crime, Financial Risk and Compliance technology transformation, the ability to work collaboratively in fast-paced environment, and an aptitude for picking up new tools and techniques on the job, building on existing skillsets as a foundation. In this role you will: Develop, maintain and optimize backend systems and RESTFul APIs using Python and Flask Proficient in concurrent processing strategies and performance optimization for complex architectures Write clean, maintainable and well-documented code Develop comprehensive test suites to ensure code quality and reliability Work independently to deliver features and fix issues, with a few hours of overlap for real-time collaboration Integrate backend services with databases and APIs Collaborate asynchronously with cross functional team members Participate in occasional team meetings, code reviews and planning sessions. Core/Must Have Skills. Should have minimum 6+ years of Professional Python Development experience. Should have Strong understanding of Computer science fundamentals (Data Structures, Algorithms). Should have 6+ years of experience in Flask and Restful API Development Should possess Knowledge on container technologies (Dockers, Kubernetes) Should possess experience on implementing interfaces in Python Should know how to use python generators for efficient memory management. Should have good understanding of Pandas, NumPy and Matplotlib library for data analytics and reporting. Should know how to implement multi-threading and enforce parallelism in python. Should know to various. Should know to how to use Global interpreter lock (GIL) in python and its implications on multithreading and multiprocessing. Should have a good understanding of SQL alchemy to interact with databases. Should posses’ knowledge on implementing ETL transformations using python libraries. Collaborate with cross-functional teams to ensure successful implementation techniques of performing list compressions in python of solutions. Good to have: Exposure to Data Science libraries or data-centric development Understanding of authentication and authorization (e.g. JWT, OAuth) Basic knowledge of frontend technologies (HTML/CSS/JavaScript) is a bonus but not required. Experience with cloud services (AWS, GCP or Azure) 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.

Job Title: Application Security Expert - Red Team / Ethical Hacker Department: Information Security / Cybersecurity Reports To: Group CISO Job Summary: The Application Security Expert - Red Team / Ethical Hacker is a critical role responsible for proactively identifying and exploiting security vulnerabilities in our software applications throughout the entire Software Development Life Cycle (SDLC). Operating as a key member of the in-house Red Team, this role will focus on simulating real-world attacks, conducting advanced penetration testing, and providing actionable intelligence to strengthen our overall security posture. Responsibilities: Red Teaming & Attack Simulation: Plan and execute realistic attack simulations against our web, mobile, and desktop applications to identify weaknesses and bypass security controls. Develop and utilize custom exploits, tools, and techniques to mimic the tactics, techniques, and procedures (TTPs) of advanced threat actors. Conduct social engineering campaigns to assess employee awareness and identify potential vulnerabilities. Advanced Penetration Testing: Perform in-depth penetration tests of applications, networks, and systems, using both automated tools and manual techniques. Identify and exploit complex vulnerabilities, including those related to application logic, authentication, authorization, and data handling. Develop detailed penetration test reports with clear and actionable recommendations for remediation. Secure Code Review (Offensive Perspective): Conduct code reviews from an offensive perspective, identifying potential vulnerabilities that could be exploited by attackers. Provide developers with guidance on secure coding practices and vulnerability remediation techniques. Develop and maintain secure coding guidelines and checklists. Vulnerability Research & Exploit Development: Stay up-to-date on the latest security threats, vulnerabilities, and exploit techniques. Conduct vulnerability research to identify new and emerging threats. Develop custom exploits and tools to test and demonstrate the impact of vulnerabilities. SDLC Integration & Security Advocacy: Collaborate with development teams to integrate security testing and red teaming activities into the SDLC. Participate in design reviews and provide security guidance on application architecture and design. Promote a security-conscious culture within the development organization. Vulnerability Management (Validation & Verification): Validate and verify the effectiveness of vulnerability remediation efforts. Retest remediated vulnerabilities to ensure they have been properly addressed. Security Tooling & Automation (Offensive Tools): Evaluate, recommend, and customize offensive security tools and technologies. Automate red teaming and penetration testing processes to improve efficiency and coverage. Required Skills and Qualifications: Education: Bachelor's or Master's degree in Computer Science, Information Security, or a related field. Experience: 8+ years of experience in application security, penetration testing, red teaming, or a related field. Demonstrable experience conducting advanced penetration tests and red team engagements. Strong understanding of web application vulnerabilities (e.g., OWASP Top 10, SANS Top 25). Experience with various penetration testing tools and frameworks (e.g., Metasploit, Burp Suite, Kali Linux). Experience with exploit development and reverse engineering. Technical Skills: Expert proficiency in one or more programming languages (e.g., Python, Java, C, C++). Strong understanding of web application architectures and technologies. Deep understanding of network protocols and security concepts. Familiarity with cloud security principles and practices (e.g., AWS, Azure, GCP). Understanding of authentication and authorization mechanisms. Certifications (Required/Preferred): Offensive Security Certified Professional (OSCP) - Required Certified Ethical Hacker (CEH) - Preferred GIAC Web Application Penetration Tester (GWAPT) - Preferred Offensive Security Certified Expert (OSCE) - Highly Preferred Offensive Security Web Expert (OSWE) - Highly Preferred

Experience with architecture and development in Java 8 or higher Experience in Spring Boot, Spring Cloud, and related frameworks Experience with DevOps tools Strong understanding of UML and design patterns. Hands on experience on cloud technologies

Job Summary This role encompasses a broad range of security responsibilities, including advanced offensive security operations, application security reviews, secure code reviews, and implementation of the Secure Software Development Lifecycle (SSDLC). The successful candidate will simulate sophisticated attacks, conduct secure code reviews, and contribute to the development of security tools. Responsibilities also include ensuring cloud security and Kubernetes security. The ideal candidate will possess the ability to conduct offensive security operations and apply their expertise to application security. They will perform threat modeling exercises with an attacker's mindset, leveraging their experience in bug bounty programs and red teaming simulations. The candidate will implement mitigations at the code level and support the Blue Team in improving detection capabilities using SIEM tools. This role requires a unique blend of skills and knowledge across multiple security domains. Job Requirements • Conduct Red Team exercises, simulating APTs in cloud, container, and AD environments. • Develop and execute adversary simulations based on the MITRE ATT&CK framework, focusing on assume breach scenarios. • Simulate attacks on software supply chains and CI/CD pipelines. • Perform in-depth penetration testing (both black-box and white-box) for web applications, APIs, and networks. • Conduct secure code reviews in collaboration with development teams to identify, exploit and implement mitigations on code level. • Integrate security tools and practices into the CI/CD pipeline, emphasizing DevSecOps methodologies. • Conduct threat modeling, design, and architectural reviews to identify potential security risks in the software development lifecycle. • Provide security guidance to development teams, assisting in risk mitigation and secure development practices. • Collaborate with the Blue Team to improve detection capabilities and test defensive measures. • Utilize SIEM tools for incident detection and response, providing insights to enhance monitoring and alerting mechanisms. • Develop and maintain custom security tools and frameworks to automate security testing and monitoring. • Stay informed about emerging threats, attack techniques, and security technologies. Education • Bachelor’s degree in computer science, information security, or a related field (or equivalent experience). • At least 4+ years of experience in offensive security and Application security. • Proven experience in offensive security, with a strong understanding of attack vectors and techniques. • Relevant certifications such as OSWE, OSCP, CRTO, or similar. • Significant contributions to security through Bug bounty programs, CVEs or recognized security research. • Recognized public acknowledgments in security research. • Experience with scripting or programming languages like Python, Go, or Ruby for developing custom attack tools/exploits. • Familiarity with CI/CD tools such as GitHub Actions, Jenkins, or TeamCity. • Knowledge of security practices of cloud computing platforms like AWS, Azure, GCP, as well as k8s.

Description About the Company - We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place. About The Role We’re looking for an experienced Data Scientist who will help us build marketing attribution, causal inference, and uplift models to improve the effectiveness and efficiency of our marketing efforts. This person will also design experiments and help us drive consistent approach to experimentation and campaign measurement to support a range of marketing, customer engagement, and digital use cases. This Lead Data Scientist brings significant experience in designing, developing, and delivering statistical models and AI/ML algorithms for marketing and digital optimization use cases on large-scale data sets in a cloud environment. They show rigor in how they prototype, test, and evaluate algorithm performance both in the testing phase of algorithm development and in managing production algorithms. They demonstrate advanced knowledge of statistical and machine learning techniques along with ensuring the ethical use of data in the algorithm design process. At Salesforce, Trust is our number one value and we expect all applications of statistical and machine learning models to adhere to our values and policies to ensure we balance business needs with responsible uses of technology. Responsibilities As part of the Marketing Effectiveness Data Science team within the Salesforce Marketing Data Science organization, develop statistical and machine learning models to improve marketing effectiveness - e.g., marketing attribution models, causal inference models, uplift models, etc. Develop optimization and simulation algorithms to provide marketing investment and allocation recommendations to improve ROI by optimizing spend across marketing channels. Own the full lifecycle of model development from ideation and data exploration, algorithm design and testing, algorithm development and deployment, to algorithm monitoring and tuning in production. Design experiments to support marketing, customer experience, and digital campaigns and develop statistically sound models to measure impact. Collaborate with other data scientists to develop and operationalize consistent approaches to experimentation and campaign measurement. Be a master in cross-functional collaboration by developing deep relationships with key partners across the company and coordinating with working teams. Constantly learn, have a clear pulse on innovation across the enterprise SaaS, AdTech, paid media, data science, customer data, and analytics communities. Required Skills 8+ years of experience designing models for marketing optimization such as multi-channel attribution models, customer lifetime value models, propensity models, uplift models, etc. using statistical and machine learning techniques. 8+ years of experience using advanced statistical techniques for experiment design (A/B and multi-cell testing) and causal inference methods for understanding business impact. Must have multiple, robust examples of using these techniques to measure effectiveness of marketing efforts and to solve business problems on large-scale data sets. 8+ years of experience with one or more programming languages such as Python, R, PySpark, Java. Expert-level knowledge of SQL with strong data exploration and manipulation skills. Experience using cloud platforms such as GCP and AWS for model development and operationalization is preferred. Must have superb quantitative reasoning and interpretation skills with strong ability to provide analysis-driven business insight and recommendations. Excellent written and verbal communication skills; ability to work well with peers and leaders across data science, marketing, and engineering organizations. Creative problem-solver who simplifies problems to their core elements. B2B customer data experience a big plus. Advanced Salesforce product knowledge is also a plus.

Experience 4-6 years of professional experience as a backend engineer, primarily working with server-side technologies. Required Skills: Strong expertise in TypeScript and building scalable backend applications using Express (NestJS preferred) Proficient in building and managing Microservices architecture. Experience with ORM, preferably Prisma. Hands-on experience with Apache Kafka for real-time data streaming and messaging. Experience with Google Cloud Platform (GCP) services, including but not limited to Cloud Functions, Cloud Run, Pub/Sub, BigQuery, and Kubernetes Engine. Familiarity with RESTful APIs, database systems (SQL/NoSQL), and performance optimization. Solid understanding of version control systems, particularly Git. Preferred Skills: Knowledge of containerization using Docker. Experience with automated testing frameworks and methodologies. Understanding of monitoring, logging, and observability tools and practices. Responsibilities: Design, develop, and maintain backend services using NestJS within a microservices architecture. Implement robust messaging and event-driven architectures using Kafka. Deploy, manage, and optimize applications and services on Google Cloud Platform. Ensure high performance, scalability, reliability, and security of backend services. Collaborate closely with front-end developers, product managers, and DevOps teams. Write clean, efficient, and maintainable code, adhering to best practices and coding standards. Perform comprehensive testing and debugging, addressing production issues promptly.

Role: Gen AI Engineer Location: Hyderabad Experience: 5+ years Mode of Interview: Scheduled in-person interview only Date: 12th July Job Description Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

Company Description Guardant Health is a leading precision oncology company focused on guarding wellness and giving every person more time free from cancer. Founded in 2012, Guardant is transforming patient care and accelerating new cancer therapies by providing critical insights into what drives disease through its advanced blood and tissue tests, real-world data and AI analytics. Guardant tests help improve outcomes across all stages of care, including screening to find cancer early, monitoring for recurrence in early-stage cancer, and treatment selection for patients with advanced cancer. For more information, visit guardanthealth.com and follow the company on LinkedIn, X (Twitter) and Facebook. Job Description To support our rapid growth, the Enterprise Software Cloud Engineering team is seeking a Senior DevOps Engineer to elevate our production operations and observability. You’ll work with tools like Kubernetes, Docker, Terraform, AWS, Java, Python, Ruby, and databases like MongoDB, Postgres, Oracle. In this role, you will primarily: Support and enhance our CI/CD pipelines and release processes for zero-downtime deployments. Lead infrastructure automation using tools like Terraform, Ansible, Jenkins, Rafay, Opsera. Manage and maintain Kubernetes clusters in cloud environments (AWS/GCP), ensuring performance, scalability, and security. Partner with development teams to implement monitoring, alerting, and logging solutions (e.g., New Relic, Grafana, Prometheus, Splunk). Improve operational excellence through cost optimization, reliability, and sustainable incident response. Collaborate with cross-functional teams to define SLIs/SLOs and enhance system observability. Mentor junior engineers and contribute to DevOps best practices across the team. This role needs a 2 hour overlap with the US team in Pacific Hours. Candidates should be open to flexible work timings. Qualifications You enjoy an agile, fast paced and highly technical environment. You are a self-driven person, do not need to be micromanaged, can wear multiple hats and drive tasks and projects to the finish line. You are effective in communicating technical and non-technical information across team boundaries. You are dedicated to engineering excellence yet pragmatic enough to balance quality principles, regulatory compliance and business needs. Your troubleshooting skills are excellent, and you enjoy a good daily challenge in supporting rapid growth and a diverse set of end user needs. You have the ability to maintain day to day support while running various key projects that move the business forward by automating and creating new tools that facilitate management of the environment. In addition, you bring 8+ years of industry experience in DevOps, SRE, or cloud infrastructure roles. Deep experience with public cloud platforms (AWS/GCP), including networking, IAM, compute, and storage. Extensive experience managing on-premise systems, including VMware infrastructure, Linux environments, and shell scripting Strong hands-on knowledge of containerization and orchestration tools (Kubernetes, Docker). Proficient in CI/CD tooling (e.g., Jenkins, GitHub Actions) and version control (Git). Automation experience with Infrastructure as Code tools (Terraform, Ansible). Solid scripting skills in Python, Bash, or Go. Strong Linux administration experience (RHEL, CentOS). Experience supporting and scaling production systems and participating in on-call rotations. Solid understanding of system monitoring, logging, and tracing.

🚀 Hiring: Java Full-Stack Developer (Contract | Immediate Joiner) 📍 Remote (India) 🕒 Shift: 12 PM – 9 PM IST 💰 Pay: ₹30K – ₹40K/month 📅 Experience: 4–5 years 📄 Type: Contract-based We're looking for a Java Full-Stack Developer with strong skills in: Java (Spring Boot), React.js, PostgreSQL Payment gateway integration (Stripe, Razorpay) REST APIs, webhooks, wallet/KYC logic Basic DevOps & cloud (AWS/GCP/Azure) 🔧 Nice to have: Fintech or wallet experience 📩 Interested? Send your CV to: consultants@planbnext.com WhatsApp: +91 8374541217 (Rajesh)

Key Skills: DAO - AI/ML, Automation, Python, big query, Project Management, Agile, SDLC,JAVA, SQL Role & responsibilities 5+ years of experience in Data Science / Preferable in Automobile Engineering Domain SKILLS: Professional Skill: Business Analysis, Analytical Thinking, Problem Solving, Decision Making, Leadership, Managerial, Time Management, Domain Knowledge Work simplification - methods that maximize output while minimizing expenditure and cost. Analytics with Data - interprets data and turns it into information which can offer ways to improve a business Communication - Good verbal communication and interpersonal skills are essential for collaborating with customers Technical Skills: Python/Numpy, Seaborn, Pandas, Selenium, Beautiful Soup (basic), Spotfire, ML Libraries, RPA, R, Iron-Python, Html CSS, Javascript, SQL, HQL, Git/Gitlabee, Spark, Scala, Webservices, Spotfire/ Tableau, JIRA Tool Skill: Project management tools, Documentation tools, Modeling [wireframe] tools Database Skills: MsSQL, Postgres, MsAccess, Mongo DB Rigorous - The ability to analyse qualitative data quickly and rigorously Adaptability - Being able to adapt to changing environments and work processes

You will have a chance to work on very high-impact distributed systems serving supply chains across industries with automated financial solutions to fill the working capital gap. As a Tech Lead you will be part of our core team directly working with the founders, customers, and engineers to define and execute the product strategy. You will be building across the tech stack that is doing the data modeling, designing and constructing APIs, optimizing SQL queries, developing data pipelines, building monitoring, and logging infrastructure, and automating deployments. You will own the end-to-end design and implementation of major products, working closely with the founders and the tech team. You will also be leading and building a team of passionate developers as we scale. Background and qualification Must have Upwards of 8 years of experience as a Software Engineer. Experience in designing and developing highly available, scalable, and fault-tolerant distributed services from scratch. Have deep knowledge of relational databases. Strong experience using containerization and orchestration technologies Strong experience working with Public Cloud services such as AWS/Azure/GCP etc. Willingness to learn new technologies, whatever lets you deliver the best product. Good to have: Prior experience in building large scale highly available Fintech Products with high transaction throughput. Experience working in an early-stage start-up. In-depth understanding of accounting statements and methods.

Job Summary As a Senior Software Engineer in the Interoperability domain, you will serve as a senior technical leader responsible for driving seamless integration across Operating systems, Data storage platforms, and protocols. You will lead initiatives that ensure our products and services can effectively communicate and operate with external systems, while maintaining high standards of performance, security, and protocol compliance. Job Requirements • Define and evolve interoperability strategies. • Lead design reviews for storage features for protocol compliance. • Own the technical roadmap for interoperability features and enhancements. • Lead resolution of complex interop-related issues, including protocol mismatches, data IO errors, and integration failures. • Partner with product managers, QA, and external vendors to ensure alignment on interop goals. • Represent the Interop team in technical governance forums and architecture councils. Technical Skills: • Deep understanding of Operating systems, data access protocols, Data storage systems, cloud, and Kubernetes. • Strong experience on deploying and troubleshooting Kubernetes environments (Vanilla Kubernetes / OpenShift / Anthos / Tanzu / Rancher) • Strong experience on managing, Administrating, and troubleshooting cloud (AWS, GCP and Azure) • Proven ability to debug complex inter-system issues and lead root cause analysis. • Proven ability on test automation using Python. • Understanding of AI tools for automation and solving problems Education • A minimum of 8 years of experience is required. 8-12 years of experience is preferred. • A Bachelor of Science Degree in Electrical Engineering or Computer Science, or a Master Degree; or equivalent experience is required.

Job Summary What¿s the Role? As a member of the team, you will play a crucial role in developing and implementing cutting edge AI/ML solutions to drive innovation and deliver business value for clients. You will collaborate with cross functional teams, including data scientists, software engineers, and business stakeholders, to develop and deploy AI/ML models and applications. This is an exciting opportunity to work on challenging projects. Job Summary Knowledge in python programming language (using OOP principles) and data science tools Knowledge on experience of implementing AIML solutions using machine learning models, algorithms, and evaluation techniques. Knowledge of Generative AI and leveraging / integrating LLMs. Preferably Knowledge in building and deploying ML pipelines, utilizing technologies such as Kubernetes, Docker and SQL. Work closely with data scientists and product managers to ensure smooth model deployment and integration Mandate Skills- AI Architect / Lead: Total 7+ Yrs. of expereicne with 5 years of relevant hands-on experience. Experience on both traditional ML and Deep Learning Implemented use cases involving complex Gen AI and AI usage - advanced RAG, finetuning, optimization, agentic approaches (simple LLM integrations in chatbot or basic RAG will not be sufficient) Strong experience with at least one of the hyperscalars (GCP, Azure, AWS) Model pipeline creation, deployment and maintenance Understanding of containerization, security, architectural design patterns, etc.

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. RCE-Risk Data Engineer-Leads Job Description: - Our Technology team builds innovative digital solutions rapidly and at scale to deliver the next generation of Financial and Non- Financial services across the globe. The Position is a senior technical, hands-on delivery role, requiring the knowledge of data engineering, cloud infrastructure and platform engineering, platform operations and production support using ground-breaking cloud and big data technologies. The ideal candidate with 8-10 years of relevant experience, will possess strong technical skills, an eagerness to learn, a keen interest on 3 keys pillars that our team support i.e. Financial Crime, Financial Risk and Compliance technology transformation, the ability to work collaboratively in fast-paced environment, and an aptitude for picking up new tools and techniques on the job, building on existing skillsets as a foundation. In this role you will: Develop, maintain and optimize backend systems and RESTFul APIs using Python and Flask Proficient in concurrent processing strategies and performance optimization for complex architectures Write clean, maintainable and well-documented code Develop comprehensive test suites to ensure code quality and reliability Work independently to deliver features and fix issues, with a few hours of overlap for real-time collaboration Integrate backend services with databases and APIs Collaborate asynchronously with cross functional team members Participate in occasional team meetings, code reviews and planning sessions. Core/Must Have Skills. Should have minimum 6+ years of Professional Python Development experience. Should have Strong understanding of Computer science fundamentals (Data Structures, Algorithms). Should have 6+ years of experience in Flask and Restful API Development Should possess Knowledge on container technologies (Dockers, Kubernetes) Should possess experience on implementing interfaces in Python Should know how to use python generators for efficient memory management. Should have good understanding of Pandas, NumPy and Matplotlib library for data analytics and reporting. Should know how to implement multi-threading and enforce parallelism in python. Should know to various. Should know to how to use Global interpreter lock (GIL) in python and its implications on multithreading and multiprocessing. Should have a good understanding of SQL alchemy to interact with databases. Should posses’ knowledge on implementing ETL transformations using python libraries. Collaborate with cross-functional teams to ensure successful implementation techniques of performing list compressions in python of solutions. Good to have: Exposure to Data Science libraries or data-centric development Understanding of authentication and authorization (e.g. JWT, OAuth) Basic knowledge of frontend technologies (HTML/CSS/JavaScript) is a bonus but not required. Experience with cloud services (AWS, GCP or Azure) 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 the Role: Join our innovative team as a Network Automation Engineer , where you'll design and implement automation solutions that enhance the efficiency, reliability, and scalability of our hybrid network infrastructure. If you're passionate about network automation and eager to drive transformation, this is the ideal opportunity for you. Key Responsibilities: Design and develop network automation solutions using Python, Netmiko, Paramiko, Nornir, and RESTful APIs. Automate network device configurations and operations, integrating with tools like Ansible, Terraform, SolarWinds, and ServiceNow. Manage and automate WAN/LAN routing and switching (IOS XE, SD-WAN, Campus/Data Center Switching) and routing protocols (BGP, OSPF, EIGRP, DMVPN, GRE, IPSEC). Implement Infrastructure as Code (IaC) using Ansible and Terraform across on-prem and cloud environments (AWS, Azure, GCP). Automate deployment and management of network resources in hybrid cloud setups. Integrate automation with monitoring tools (e.g., SolarWinds) for enhanced network visibility. Automate tasks using Infoblox DDI for DNS, DHCP, and IPAM. Collaborate with network engineers to identify automation opportunities and gather requirements. Maintain comprehensive documentation for automation scripts and processes. Troubleshoot and resolve automation-related issues. Automate ServiceNow processes and integrate it with other network tools. Contribute to continuous improvement and stay current with trends in network automation and AI. Required Qualifications: Bachelors degree in Computer Science, Networking, or related field (or equivalent experience). Expert-level proficiency in Python. Strong understanding of routing, switching, and data center technologies (VXLAN, BGP, OSPF). Hands-on experience with Netmiko, Paramiko, Nornir, and RESTful APIs. Proficiency in Ansible and Terraform. Experience in cloud networking (AWS, Azure, GCP). Knowledge of Infoblox DDI and monitoring tools like SolarWinds. Strong troubleshooting and communication skills. Ability to work independently and in a team environment. Preferred Skills: Cisco certifications (e.g., CCNA, CCNP ). Experience with Go, Bash , or other programming languages. CI/CD pipeline experience. Familiarity with network security best practices. Exposure to Docker, Kubernetes . ServiceNow development/administration. NetFlow data analysis experience. Experience in AI-driven automation , predictive maintenance, anomaly detection, or root cause analysis. Knowledge of Agentic AI and emerging AI trends.

Senior SRE - SaaS Our SRE role spans software, systems, and operations engineering. If your passion is building stable, scalable systems for a growing set of innovative products, as well as helping to reduce the friction for deploying these products for our engineering team, Pattern is the place for you. Come help us build a best-in-class platform for amazing growth. Key Responsibilities Infrastructure and Automation Design, build, and manage scalable and reliable infrastructure in AWS (Postgres, Redis, Docker, Queues, Kinesis Streams, S3, etc.) Develop Python or shell scripts for automation, reducing operational toil. Implement and maintain CI/CD pipelines for efficient build and deployment processes using Github Actions. Monitoring and Incident Response Establish robust monitoring and alerting systems using observability methods, logs, and APM tools. Participate in on-call rotations to respond to incidents, troubleshoot problems, and ensure system reliability. Perform root cause analysis on production issues and implement preventative measures to mitigate future incidents. Cloud Administration Manage AWS resources, including Lambda functions, SQS, SNS, IAMs, RDS, etc. Perform Snowflake administration and set up backup policies for various databases. Reliability Engineering Define Service Level Indicators (SLIs) and measure Service Level Objectives (SLOs) to maintain high system reliability. Utilise Infrastructure as Code (IaC) tools like Terraform for managing and provisioning infrastructure. Collaboration and Empowerment Collaborate with development teams to design scalable and reliable systems. Empower development teams to deliver value quickly and accurately. Document system architectures, procedures, run books and best practices. Assist developers in creating automation scripts and workflows to streamline operational tasks and deployments. Innovative Infrastructure Solutions Spearhead the exploration of innovative infrastructure solutions and technologies aligned with industry best practices. Embrace a research-based approach to continuously improve system reliability, scalability, and performance. Encourage a culture of experimentation to test and implement novel ideas for system optimization. Required Qualifications : Bachelors degree in a technical field or relevant work experience 6+ years of experience in engineering, development, DevOps/SRE fields 3+ years experience deploying and managing systems using Amazon Web Services 3+ years experience on Software as a Service (SaaS) application. Proven doer” attitude with ability to self-start, take a project to completion. Demonstrate project ownership. Familiarity with container orchestration tools like Kubernetes, Fargate, etc. Familiarity with Infrastructure as Code tooling like Terraform, CloudFormation, Ansible, Puppet Experience working with CI/CD automated deployments using tools like Github Actions, Jenkins, CircleCI Experience working on observability tools like Datadog, NewRelic, Dynatrace, Grafana, Prometheus, etc. Experience with Linux server management, bash scripting, SSH keys, SSL/TLS certificates, MFA, cron, and log files Deep understanding of AWS networking (VPCs, subnets, security groups, route tables, internet gateways, NAT gateways, NACLs), IAM policies, DNS, Route53, and domain management Strong problem-solving and troubleshooting skills Attention to Details: Thoroughness in accomplishing tasks, ensuring accuracy and quality in all aspects of work. Excellent communication and collaboration abilities Desire to help take Pattern to the next level through exploration and innovation Preferred Qualifications : Experience in deploying applications on ECS, Fargate with ELB/ALB and Auto Scaling Groups. Experience in deploying serverless applications with Lambda, API Gateway, Cognito, CloudFront. Experience in deploying applications built using JavaScript, Ruby, Go, Python. Experience with Infrastructure as Code (IaC) using Terraform. Experience with database administration for Snowflake, Postgres. AWS Certification would be a plus. A focus on adopting security best practices while building great tools.

AIML Engineer - MBM Relevant Experience: 5+ Years Location: Bangalore/Pune Employment Type: Full-time Shape the Future with Generative AI Are you passionate about harnessing cutting-edge Generative AI to create transformative real-world applications? Do you dream of building autonomous systems that learn, adapt, and make decisions independently? At Maersk, we’re reimagining how businesses solve complex problems with the power of Generative AI and Autonomous Agents. We’re looking for a AI/ML Engineer to join our dynamic team and play a pivotal role in building AI solutions that will define the future of intelligent systems. If you're excited about applying your expertise to projects that disrupt industries and drive measurable impact, we want to hear from you! This is an exciting opportunity for self-motivated engineers with technical expertise, creative problem-solving skills, and a talent for disruptive process transformation using AI/ML. What you'll do: Lead with autonomy: Take ownership of AI/ML projects from ideation to deployment, pushing boundaries of innovation. Design the future: Develop and fine-tune Generative AI models (LLMs, diffusion models, GANs, VAEs, etc.) to optimize SCP business processes and enhance productivity. Empower AI agents: Create agent AI architectures for autonomous decision-making, task delegation, and multi-agent collaboration using Agentic AI frameworks like AutoGPT. Innovate with LLM’s: Build & optimize LLM’s applications, leveraging RAG and build robust Machine Learning pipelines for NLP, Multimodal AI tasks. Work with cutting-edge tools: Harness the power of Vector Databases (e.g., Pinecone, FAISS, ChromaDB) and LLM APIs (OpenAI, Anthropic, Hugging Face, Mistral, Llama). Collaborate for impact: Partner with cross-functional teams to integrate AI solutions into real-world applications like chatbots, copilots, automation tools, etc.). Stay ahead: Perform continuous research on state-of-the-art AI methodologies, exploring advancements in Generative AI, Autonomous Agents, and NLP to drive innovation. Required Skills & Qualifications [Must have] Strong foundation in Machine Learning & Deep Learning with expertise in neural networks, optimization techniques and model evaluation. Experience with LLMs, Transformer architectures (BERT, GPT, LLaMA, Mistral, Claude, Gemini, etc.). Proficiency in Python, LangChain, Hugging Face transformers, MLOps. Experience with Reinforcement Learning and multi-agent systems for decision-making in dynamic environments. Knowledge of multimodal AI (integrating text, image, other data modalities into unified models. Nice-to-have Skills Experience with Prompt Engineering, Fine-tuning, and RAG techniques. Familiarity with Cloud Platforms (AWS, GCP, Azure) and deployment tools like Docker, Kubernetes, FastAPI, or Flask. Why Join Us: Innovate at scale: Work on groundbreaking Generative AI technologies that redefine what’s possible. Transform industries: Your work will directly impact how global organizations drive productivity and solve complex supply chain challenges. Collaborate with the best: Join a team of forward-thinking engineers, researchers, and product visionaries who are shaping the future of AI. Accelerate your growth: Enjoy opportunities to learn, grow, and lead in a fast-paced, innovation-driven environment. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Associate AI/ML Scientist – Global Data Analytics, Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. The Brief In this role as an AI/ML Scientist on the Global Data and Analytics (GDA) team, you will support the development of strategic, visibility-driven recommendation systems that serve both internal stakeholders and external customers. This initiative aims to deliver actionable insights that enhance supply chain execution, support strategic decision-making, and enable innovative service offerings. You should be able to design, develop, and implement machine learning models, conduct deep data analysis, and support decision-making with data-driven insights. Responsibilities include building and validating predictive models, supporting experiment design, and integrating advanced techniques like transformers, GANs, and reinforcement learning into scalable production systems. The role requires solving complex problems using NLP, deep learning, optimization, and computer vision. You should be comfortable working independently, writing reliable code with automated tests, and contributing to debugging and refinement. You’ll also document your methods and results clearly and collaborate with cross-functional teams to deliver high-impact AI/ML solutions that align with business objectives and user needs. What I'll be doing – your accountabilities? Design, develop, and implement machine learning models, conduct in-depth data analysis, and support decision-making with data-driven insights Develop predictive models and validate their effectiveness Support the design of experiments to validate and compare multiple machine learning approaches Research and implement cutting-edge techniques (e.g., transformers, GANs, reinforcement learning) and integrate models into production systems, ensuring scalability and reliability Apply creative problem-solving techniques to design innovative models, develop algorithms, or optimize workflows for data-driven tasks Independently apply data-driven solutions to ambiguous problems, leveraging tools like Natural Language Processing, deep learning frameworks, machine learning, optimization methods and computer vision frameworks Understand technical tools and frameworks used by the team, including programming languages, libraries, and platforms and actively support debugging or refining code in projects Write and integrate automated tests alongside their models or code to ensure reproducibility, scalability, and alignment with established quality standards Contribute to the design and documentation of AI/ML solutions, clearly detailing methodologies, assumptions, and findings for future reference and cross-team collaboration Collaborate across teams to develop and implement high-quality, scalable AI/ML solutions that align with business goals, address user needs, and improve performance Foundational Skills Mastered Data Analysis and Data Science concepts and can demonstrate this skill in complex scenarios AI & Machine Learning, Programming and Statistical Analysis Skills beyond the fundamentals and can demonstrate the skills in most situations without guidance. Specialized Skills To be able to understand beyond the fundamentals and can demonstrate in most situations without guidance: Data Validation and Testing Model Deployment Machine Learning Pipelines Deep Learning Natural Language Processing (NPL) Optimization & Scientific Computing Decision Modelling and Risk Analysis. To understand fundamentals and can demonstrate this skill in common scenarios with guidance: Technical Documentation. Qualifications & Requirements Bachelor's degree in B.E/BTech, preferably in computer science Experience with collaborative development workflow: IDE (Integrated Development Environment), Version control(github), CI/CD (e.g. automated tests in github actions) Communicate effectively with technical and non-technical audiences with experience in stakeholder management Structured, highly analytical mind-set and excellent problem-solving skills; Self-starter, highly motivated & Willing to share knowledge and work as a team. An individual who respects the opinion of others; yet can drive a decision though the team; Preferred Experiences 5+ years of years of relevant experience in the field of Data Engineering 3+ years of hands-on experience with Apache Spark, Python and SQL Experience working with large datasets and big data technologies to train and evaluate machine learning models. Experience with containerization: Kubernetes & Docker Expertise in building cloud native applications and data pipelines (Azure, Databricks, AWS, GCP) C Experience with common dashboarding and API technologies (PowerBI, Superset, Flask, FastAPI, etc As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Job Title Senior Network Architect Job Grade Senior Manager 1 Function Information Technology Sub-function Infra IT Manager’s Job Label Network Architect- Lead Skip Level Manager’s Label Global Head – Infra Operation Function Head Title GM Location: Mumbai No. of Direct Reports (if any) NA Business Unit Areas Of Responsibility At Sun Pharma, we commit to helping you “ Create your own sunshine ”— by fostering an environment where you grow at every step, take charge of your journey and thrive in a supportive community. Are You Ready to Create Your Own Sunshine? As you enter the Sun Pharma world, you’ll find yourself becoming ‘Better every day’ through continuous progress. Exhibit self-drive as you ‘Take charge’ and lead with confidence. Additionally, demonstrate a collaborative spirit, knowing that we ‘Thrive together’ and support each other’s journeys.” Job Summary We are looking for a dynamic and forward-thinking Senior Network Architect to lead the strategy, design, and implementation of our enterprise-wide IT and OT network infrastructure. This role requires a perfect blend of technical expertise, leadership, and project delivery skills , with a focus on cloud connectivity, network security, segmentation, and emerging technologies (SD-WAN, 5G/6G). You will be responsible for designing scalable, secure, and high-performance network architectures that support business growth, compliance, and digital transformation. This role demands a strategic thinker with a deep understanding of networking technologies, protocols, and best practices to support our organization's evolving needs. Responsibilities Architecture, Design & Delivery Lead the end-to-end design of enterprise network architecture, including cloud, data centre, campus, OT, encompassing LAN, WAN, WLAN, SD-WAN, and cloud networking that aligns with business objective Develop High-Level Design (HLD) and Low-Level Design (LLD) documents along with Bill of Materials (BOM) and Bill of Quantities (BOQ). Evaluate and integrate emerging technologies to enhance network performance and security. Design and implement macro and micro segmentation, next-generation firewall architectures, and secure SD-WAN topologies. Architect cloud networking and security solutions (AWS, Azure, GCP) using Transit Gateway, VPC peering, Azure Firewall, etc. Project & Program Management Lead the technical delivery of complex networking projects including cloud integration, OT segmentation, secure remote access, and SD-WAN rollouts. Own project lifecycle from requirement gathering and solutioning to handover and documentation. Define capacity planning models to forecast bandwidth, throughput, and resource utilization. Oversee the deployment of network solutions, ensuring minimal disruption to business operations. Ensure compliance with industry standards and organizational policies during implementation Technology Evaluation, POCs, RFPs & RFIs Evaluate and recommend new technologies, platforms, and OEMs through competitive assessments, RFI/RFP, and Proof of Concept (POC). Drive strategic network transformation initiatives by selecting the most appropriate solutions based on TCO, scalability, and regulatory needs. Design and enforce network security protocols to protect organizational data and resources. Ensure compliance with relevant regulations and standards (e.g., ISO 27001, NIST). Leadership & Vendor Management Lead and mentor a cross-functional team of engineers, architects, and project managers. Manage technical engagements with vendors and partners—ensuring alignment with architecture standards and service levels. Collaborate with cybersecurity, infrastructure, operations, and compliance teams to maintain enterprise governance. Manage and monitor vendor driven agreed SLA’s based parameter set Security, Cloud & OT Integration Architect secure IT and OT connectivity using Zero Trust models , EDR/XDR , NAC , and network segmentation . Design and enforce network security protocols to protect organizational data and resources. Design resilient OT networks that meet ISA/IEC 62443 , NIST , and GxP compliance standards. Collaborate with the security team to address vulnerabilities and implement mitigation strategies. Stakeholder Communication & Presentation Present technical solutions, risks, roadmaps, and architecture proposals to leadership, including CIO, CISO, and steering committees. Translate business goals into network design and infrastructure strategy. Maintain detailed documentation of network configurations, processes, and procedures Provide training and mentorship to junior network staff and other stakeholders. Travel Estimate Job Scope Internal Interactions (within the organization) IT functional team across globe. External Interactions (outside the organization) Vendors and OEM’s Geographical Scope Global Financial Accountability (cost/revenue with exclusive authority) Job Requirements Educational Qualification Bachelor's/Master’s in Computer Science, Engineering, or IT Specific Certification CCNP/CCIE , PCNSE , AWS/Azure Network Specialty , CISSP , TOGAF , PMP/ITIL v4 Experience 10-12 years’ experience Skill (Functional & Behavioural) Networking: BGP, OSPF, VXLAN, SD-WAN, MPLS, 5G/6G, WAN Optimization Cloud Networking: AWS Transit Gateway, Azure VNet, ExpressRoute, Direct Connect, NSG/UDR Security: NGFWs (Palo Alto, Fortinet, Cisco), ZTNA, CASB, Zscaler/Netskope, EDR/XDR (CrowdStrike, Defender), NAC Segmentation: Micro and macro segmentation, VRFs, SGTs, VLANs OT Networking: Industrial firewalling, SCADA/PLC segregation, ICS/OT security policies Your Success Matters to Us At Sun Pharma, your success and well-being are our top priorities! We provide robust benefits and opportunities to foster personal and professional growth. Join us at Sun Pharma, where every day is an opportunity to grow, collaborate, and make a lasting impact. Let’s create a brighter future together! Disclaimer: The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees as assigned to this job. Nothing herein shall preclude the employer from changing these duties from time to time and assigning comparable duties or other duties commensurate with the experience and background of the incumbent(s).

Company Description Aziro (formerly MSys Technologies and pronounced as "Ah-Zee-Roh") is an AI-native product engineering company driving innovation-led tech transformation for global enterprises, high growth ISVs and AI first pioneers. Role Description This is a full-time hybrid role for a Senior AI/ML Engineer based in Chennai/Bangalore/Pune, with some work-from-home flexibility. We are seeking a skilled and hands-on Senior Artificial Intelligence & Machine Learning (AI/ML) Engineer to build and productionize AI solutions—including fine-tuning large language models (LLMs), implementing Retrieval-Augmented Generation (RAG) workflows, multi-agent applications and MLOps pipelines. This role focuses on individual technical contribution and requires close collaboration with solution architects, AIML leads, and fellow engineers to translate business use cases into scalable, secure, cloud-native AI services. The ideal candidate will bring deep technical expertise across the AI/ML lifecycle—from prototyping to deployment—while contributing to a culture of engineering excellence through peer reviews, documentation, and platform innovation. They will play a critical role in delivering robust, high-performance AI systems in partnership with the broader AI/ML team. Qualifications 6–10 years total software/ML engineering experience, including 3+ years delivering ML models or GenAI systems to production. Proven track record building and optimising RAG or LLM‑powered applications at scale Proficiency in Python and ML frameworks (PyTorch, TensorFlow) and in cloud‑native deployment (AWS/GCP/Azure). Hands‑on experience with vector databases, embeddings, and prompt engineering. Experience in regulated industries (Fintech, Healthcare, eCommerce) is a plus. Experience with multi‑agent frameworks (Crew AI, AutoGen, LangGraph). Certifications such as AWS Certified Machine Learning Specialty / Azure AI Engineer / Google Professional Machine Learning Engineer. Bachelor’s degree in Computer Science, Data Science, Engineering or related discipline (Master’s preferred). Soft Skills & Leadership Attributes Ownership mindset: drives features from design through deployment and monitoring. Clear communicator: explains technical trade‑offs to stakeholders, writes concise docs, and updates project artefacts. Collaboration & mentorship: pairs with junior ngineers, shares knowledge in brown‑bag sessions, gives constructive PR feedback. Continuous learning: tracks latest GenAI research, evaluates new tooling, and proposes incremental improvements.

Dear Candidates, Please find below the Job Description for an exciting opportunity with us: Location: Whitefield, Bangalore Contact: Ramya 9019493984 / 9113935324 Position: Principal Engineer / AI Platform Architect Key Responsibilities Architect & Develop Core Systems Lead the design and implementation of scalable, secure, and highly available enterprise cloud AI platform services. Drive evolution of microservices architecture to enhance performance, resilience, and developer productivity. Technical Leadership & Mentorship Provide guidance and mentorship to engineers, fostering a culture of learning. Establish and enforce best practices for developing cutting-edge AI solutions. Cross-Functional Collaboration Work with AI research, engineering, product, and UX teams to translate business needs into scalable solutions. Lead architectural reviews and contribute to technical roadmap planning. AI Innovation & Exploration Explore and evaluate emerging AI/ML technologies, frameworks, and tools. Collaborate with AI research teams to implement GenAI and ML solutions in production. Quality, Security & Compliance Champion CI/CD, automated testing, observability, and robust security practices. Ensure adherence to industry standards, privacy laws, and internal policies. Qualifications Educational Background: Bachelors or Masters in Computer Science, ML/AI, Software Engineering, or a related field. Technical Expertise: 12+ years of software development experience, including 3+ years in a lead or principal role. Hands-on experience with Python, Go, Java, or C++. Strong understanding of cloud-native architectures, Kubernetes, and platforms like AWS, GCP, or Azure. Experience with SQL/NoSQL, Kafka, and scalable storage solutions. Expertise in microservices, RESTful APIs, GraphQL, and event-driven architecture. AI/ML & Data Skills: Deep experience with ML libraries (TensorFlow, PyTorch, Scikit-learn). Hands-on with GenAI technologies, LLMs, and frameworks like LangChain, LlamaIndex, AutoGen, etc. Soft Skills & Leadership: Excellent communication and stakeholder management skills. Strong problem-solving abilities and a track record of delivering projects end-to-end. Ability to lead in a fast-paced, collaborative environment. Feel free to reach out for further information or clarification. Best regards, Ramya Talent Acquisition 9019493984 / 9113935324

Job Title: Backup Manager Job Grade (refer to JE) G10 Function: Information Technology Sub-function: Infra IT Manager’s Job Label: Backup Lead Skip Level Manager’s Label: Function Head Title: Sr Manager Location: Mumbai Job Summary Seeking a skilled and experienced Middle-Level Manager to oversee and manage our Backup Operations team. The ideal candidate will be responsible for ensuring data integrity, availability, and recoverability across all systems along with compliances, especially pharma compliances. This role requires strong technical expertise in backup technologies, leadership capabilities, and a proactive approach to risk mitigation and compliance. Areas Of Responsibility At Sun Pharma, we commit to helping you “Create your own sunshine”— by fostering an environment where you grow at every step, take charge of your journey and thrive in a supportive community. Are You Ready to Create Your Own Sunshine? As you enter the Sun Pharma world, you’ll find yourself becoming ‘Better every day’ through continuous progress. Exhibit self-drive as you ‘Take charge’ and lead with confidence. Additionally, demonstrate a collaborative spirit, knowing that we ‘Thrive together’ and support each other’s journeys.” Job Summary: Seeking a skilled and experienced Middle-Level Manager to oversee and manage our Backup Operations team. The ideal candidate will be responsible for ensuring data integrity, availability, and recoverability across all systems along with compliances, especially pharma compliances. This role requires strong technical expertise in backup technologies, leadership capabilities, and a proactive approach to risk mitigation and compliance. Responsibilities: Manage day-to-day operations of backup and recovery environments across on-premise and cloud platforms. Lead and mentor a team of backup administrators and support staff to ensure high system availability and performance. Develop, enforce, and maintain backup policies, schedules, and procedures aligned with business continuity and disaster recovery (BCDR) strategies. Monitor backup jobs, investigate failures, and resolve issues in a timely manner to minimize risk and data loss. Collaborate with application, database, and infrastructure teams to meet and maintain data protection and retention requirements. Maintain comprehensive and up-to-date documentation of backup configurations, processes, and recovery procedures, aligned with GSOP standards. Provide evidence and support for internal and external audits across regions, ensuring timely and accurate responses. Ensure compliance with legal, regulatory, and internal data retention policies and audit requirements. Evaluate, recommend, and implement new technologies and tools to optimize backup performance, cost, and reliability. Provide regular reporting on backup status, capacity usage, risk assessments, and improvement opportunities to senior management. Lead and participate in disaster recovery drills, ensuring operational readiness for real-world incidents. Drive the creation, upkeep, and periodic review of Standard Operating Procedures (SOPs). Act as a primary liaison for audit activities related to backup operations, coordinating with internal and external auditors. Govern and oversee backup vendor teams responsible for BAU (Business As Usual) support, ensuring SLAs and KPIs are met. Plan and execute migration of global storage and backup resources, ensuring minimal disruption to business operations. Implement and monitor security measures to safeguard data from unauthorized access, physical threats, ransomware, and malware attacks. Oversee Incident, Change, and Problem Management processes related to backup operations, including CR (Change Requests) evaluation. Manage vendor relationships, including service contracts, equipment maintenance, and support delivery. Monitor backup utilization, analyse trends, forecast future capacity, and plan accordingly. Govern regular backup testing initiatives and implement enhancements to reduce cost, time, and improve reliability. Continuously improve internal systems and change management processes, exercising judgment on critical change requests. Travel Estimate Job Scope Internal Interactions (within the organization) IT functional team across globe. External Interactions (outside the organization) Vendors and OEM’s Geographical Scope Global Financial Accountability (cost/revenue with exclusive authority) Job Requirements Educational Qualification Degree or appropriate professional qualification Specific Certification Certification & Trainings On Following Technology Domains: Backup Storage ITIL Experience 10-12 Years of experience Skill (Functional & Behavioural): Knowledge of Integrated IT Backup Solutions Knowledge of manufacturing IT domain. (OT IT) Experience working with distributed IT teams across globe. Mandatory Knowledge of the following areas: Backup Mgmt. VMware knowledge Server hardware management. SLA Tracking for BAU and Partners. Basic Network Management Project management. Knowledge in Pharma compliance 21CFR part 11 Experience in preparing CSV (Computer system Validation) documents. Basic Knowledge in Veritas, Actifio, Commvault, Spectrum Protect etc are added advantage. Knowledge in GCP, AWS is added advantage. Pharma industry experience is an advantage. Your Success Matters to Us At Sun Pharma, your success and well-being are our top priorities! We provide robust benefits and opportunities to foster personal and professional growth. Join us at Sun Pharma, where every day is an opportunity to grow, collaborate, and make a lasting impact. Let’s create a brighter future together! Disclaimer: The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees as assigned to this job. Nothing herein shall preclude the employer from changing these duties from time to time and assigning comparable duties or other duties commensurate with the experience and background of the incumbent(s).

Overview Cvent is a leading meetings, events, and hospitality technology provider with more than 4,800 employees and ~22,000 customers worldwide, including 53% of the Fortune 500. Founded in 1999, Cvent delivers a comprehensive event marketing and management platform for marketers and event professionals and offers software solutions to hotels, special event venues and destinations to help them grow their group/MICE and corporate travel business. Our technology brings millions of people together at events around the world. In short, we’re transforming the meetings and events industry through innovative technology that powers the human connection. The DNA of Cvent is our people, and our culture has an emphasis on fostering intrapreneurship a system that encourages Cventers to think and act like individual entrepreneurs and empowers them to take action, embrace risk, and make decisions as if they had founded the company themselves. At Cvent, we value the diverse perspectives that each individual brings. Whether working with a team of colleagues or with clients, we ensure that we foster a culture that celebrates differences and builds on shared connections. In This Role, You Will Technical Leadership & Development: Lead the design, development, testing, deployment, and maintenance of scalable, high performance, and secure applications using .NET Core and related technologies. Act as a subject matter expert for .NET Core, providing technical guidance and mentorship to team members. Drive architectural decisions and ensure adherence to best practices in software design, coding standards, and security. Conduct code reviews to ensure code quality, performance, and maintainability. Collaborate with product owners, architects, and other stakeholders to understand requirements and translate them into technical specifications and actionable plans. Identify and implement opportunities for performance optimization, scalability improvements, and technical debt reduction. Stay up-to-date with emerging technologies and industry trends and recommend their adoption where beneficial. Troubleshoot and debug complex issues across various environments. Contribute significantly to hands-on coding and feature development. Team Handling & People Management Lead and mentor a team of software engineers, fostering a collaborative and high performing environment. Provide technical guidance, coaching, and regular feedback to team members to support their professional growth and development. Facilitate daily stand-ups, sprint planning, retrospectives, and other agile ceremonies. Assist in setting individual and team goals, conducting performance reviews, and identifying training needs. Delegate tasks effectively and ensure equitable distribution of workload within the team. Act as a point of escalation for technical and team-related issues. Foster a culture of continuous improvement, knowledge sharing, and innovation within the team. Participate in the recruitment and onboarding of new team members. Here's What You Need 7 to 9 years of professional experience in software development, with at least 4+ years of hands-on experience specifically with .NET Core (ASP.NET Core, C#). Strong understanding of object-oriented programming (OOP) principles and design patterns. Proficiency in building RESTful APIs and microservices using .NET Core. Extensive experience with relational databases (e.g., SQL Server, PostgreSQL, MySQL) and ORMs (e.g., Entity Framework Core). Experience with cloud platforms (e.g., Azure, AWS, GCP) and deploying .NET Core applications. Solid understanding of front-end technologies (e.g., HTML, CSS, JavaScript, and ideally a modern JavaScript framework like React, Angular, or Vue.js) for full-stack considerations. Experience with unit testing frameworks (e.g., xUnit, NUnit, MSTest) and writing comprehensive tests. Familiarity with version control systems (e.g., Git, Azure DevOps, GitHub). Understanding of CI/CD pipelines and automated deployments. Knowledge of containerization technologies (e.g., Docker, Kubernetes) is a plus. Experience with caching mechanisms (e.g., Redis, Memcached) is a plus. Understanding of message queues/brokers (e.g., RabbitMQ, Kafka, Azure Service Bus) is a plus. Required Team Handling & People Management Skills Proven experience leading and mentoring a team of software engineers (ideally 2+ years in a lead or senior-level role with direct reports/mentorship responsibilities). Excellent communication skills, both verbal and written, with the ability to articulate complex technical concepts to both technical and non-technical audiences. Strong interpersonal skills with the ability to build rapport, motivate, and resolve conflicts within a team. Demonstrated ability to delegate effectively and empower team members. Experience with agile methodologies (Scrum, Kanban). Strong problem-solving and decision-making abilities with a focus on practical solutions. Ability to provide constructive feedback and foster a positive learning environment. Empathy and a genuine interest in the growth and well-being of team members.

Description Ciklum is looking for a Expert DevOps (Azure) Engineer to join our team full-time in India. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4, 000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As a Expert DevOps (Azure) Engineer, become a part of a cross-functional development team engineering experiences of tomorrow. Will be part of the team developing cutting-edge IoT solutions. Key role in shaping our DevOps strategy, driving automation, and ensuring the reliability and scalability of our platforms. You ll work in an agile, collaborative environment. Responsibilities Provide technical leadership and vision for the DevOps team, defining and implementing best practices for infrastructure automation, CI/CD pipelines, and cloud security Lead the design, development, and deployment of DevOps pipelines and infrastructure Optimize and maintain existing solutions to ensure performance, security, and scalability Collaborate closely with developers, architects, and product owners to align DevOps practices with business goals Champion best practices in CI/CD, infrastructure as code, and cloud-native development Mentor and support team members in DevOps tools and methodologies Collaborate with engineering and product teams to define cloud infrastructure strategy and roadmap, aligning with overall business goals Build, lead, and mentor a high-performing DevOps team, fostering a culture of collaboration, innovation, and continuous learning Continuously evaluate and improve DevOps processes, driving automation, efficiency, and agility within the software delivery lifecycle Maintain a deep understanding of Azure services, IaC tools, and DevOps methodologies to solve complex technical challenges Effectively communicate technical concepts to various stakeholders, including developers, senior management, and clients Identify and address technical debt within the infrastructure, proactively implementing solutions for long-term maintainability and scalability Requirements We know that sometimes, you can t tick every box. We would still love to hear from you if you think you re a good fit! Bachelors degree in Computer Science, Software Engineering, or a related field, or equivalent work experience with a proven track record of success 5+ years of experience in DevOps or cloud infrastructure roles Strong hands-on experience with Terraform (writing, planning, applying) Proficiency with Docker and containerized applications Experience with serverless architectures and Azure Functions Deep understanding of CI/CD pipelines, especially in Azure DevOps Familiarity with time-series databases Experience writing unit and integration tests for infrastructure and deployment code Proven experience in designing, architecting, and implementing large-scale, secure, and reliable Azure solutions Demonstrated ability to lead and mentor high-performing DevOps teams Strong communication, collaboration, and problem-solving skills Relevant Azure certifications are highly preferred (e. g. , Azure Solutions Architect Expert, Azure DevOps Engineer Expert, Azure Security Engineer Associate) Strong strategic and business acumen Desirable Cloud: Unmatched expertise in Azure services, best practices, and architectural patterns IaC Mastery: Advanced proficiency in ARM, Bicep, Terraform, or other IaC tools with the ability to design and manage complex infrastructure as code templates Scripting and Programming Expertise: Strong scripting skills (Powershell, Bash) and proficiency with one or more programming languages (e. g. , Python, Java, Go) for building robust automation solutions Security Champion: Deep understanding of cloud security best practices, security automation, compliance requirements (SOC 2, ISO), and incident response strategies Leadership and Communication: Excellent leadership skills, fostering a positive team environment, inspiring innovation, and effectively communicating technical concepts to diverse audiences Multi-Cloud: Experience with other cloud platforms (AWS, GCP, etc. ) Whats in it for you Strong community: Work alongside top professionals in a friendly, open-door environment Growth focus: Take on large-scale projects with a global impact and expand your expertise Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies Care: We ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations