8136 Containerization Jobs - Page 12

About the Role: Grade Level (for internal use): 11 The Role: Lead Software Engineer The Team: Our engineering team is a collaborative group of innovative thinkers dedicated to developing high-quality software solutions that empower our clients. We thrive on open communication, creativity, and a shared commitment to excellence. What sets us apart is our focus on leveraging cutting-edge technologies to drive impactful results in the financial analytics space. The Impact: As a Software Engineering Lead, you will play a crucial role in shaping the technology that drives our business forward. Your expertise will enhance our software capabilities, ultimately improving the user experience for our clients and enabling them to make informed decisions in a fast-paced market. This position is vital for maintaining our competitive edge and delivering exceptional value to our stakeholders. What’s in it for you: Opportunity for professional growth and development within a leading global company. Exposure to market leaders and policymakers, allowing you to influence industry standards. Work on innovative projects that have a direct impact on clients and markets worldwide. A dynamic work environment that encourages creativity and teamwork. Responsibilities: Build responsive user interfaces using React and JavaScript. Lead the design and development of backend APIs using Python and C#. Manage databases with Postgres and MSSQL, ensuring optimal performance. Utilize AWS for cloud solutions and implement infrastructure as code with Terraform. Oversee containerization using Docker and orchestrate applications with Kubernetes. What We’re Looking For: 8+ years of experience in software development, particularly with Python, JavaScript, and C#. Strong experience with PostgreSQL and MSSQL databases. Proven expertise in API development and cloud services (AWS). Excellent problem-solving and analytical skills. Strong communication and leadership abilities. Ability to work collaboratively in a team-oriented environment. Adaptability and a passion for continuous learning. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence . What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 316191 Posted On: 2025-06-29 Location: Hyderabad, Telangana, India

Lead, Application Development Hyderabad, India Information Technology 316191 Job Description About The Role: Grade Level (for internal use): 11 The Role: Lead Software Engineer The Team: Our engineering team is a collaborative group of innovative thinkers dedicated to developing high-quality software solutions that empower our clients. We thrive on open communication, creativity, and a shared commitment to excellence. What sets us apart is our focus on leveraging cutting-edge technologies to drive impactful results in the financial analytics space. The Impact: As a Software Engineering Lead, you will play a crucial role in shaping the technology that drives our business forward. Your expertise will enhance our software capabilities, ultimately improving the user experience for our clients and enabling them to make informed decisions in a fast-paced market. This position is vital for maintaining our competitive edge and delivering exceptional value to our stakeholders. What’s in it for you: Opportunity for professional growth and development within a leading global company. Exposure to market leaders and policymakers, allowing you to influence industry standards. Work on innovative projects that have a direct impact on clients and markets worldwide. A dynamic work environment that encourages creativity and teamwork. Responsibilities: Build responsive user interfaces using React and JavaScript. Lead the design and development of backend APIs using Python and C#. Manage databases with Postgres and MSSQL, ensuring optimal performance. Utilize AWS for cloud solutions and implement infrastructure as code with Terraform. Oversee containerization using Docker and orchestrate applications with Kubernetes. What We’re Looking For: 8+ years of experience in software development, particularly with Python, JavaScript, and C#. Strong experience with PostgreSQL and MSSQL databases. Proven expertise in API development and cloud services (AWS). Excellent problem-solving and analytical skills. Strong communication and leadership abilities. Ability to work collaboratively in a team-oriented environment. Adaptability and a passion for continuous learning. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence. What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf - 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 316191 Posted On: 2025-06-29 Location: Hyderabad, Telangana, India

Requirements 5+ years of experience in DevOps. Proficient with Azure (compute, storage, networking, AKS) and AWS services. Strong hands-on with Terraform, Ansible, and Kubernetes. Experience with Argo CD, Helm, Traefik, and Consul. Solid understanding of CI/CD using Azure DevOps, GitHub, or GitLab. Familiarity with Databricks integration and management. Monitoring and observability experience with Dynatrace. Strong scripting skills (e.g., Bash, Python, PowerShell). Roles And Responsibilities CI/CD Pipeline Development : Design, implement, and maintain scalable CI/CD pipelines using GitHub Actions, GitLab CI, or Azure DevOps to automate build, test, and deployment processes. Infrastructure as Code (IaC) : Utilize Terraform or Python scripting to automate infrastructure provisioning and management on Azure Cloud. Containerization & Orchestration : Deploy and manage containerized applications using Kubernetes (AKS), ensuring high availability and scalability. GitOps Implementation : Implement and manage GitOps workflows using ArgoCD to automate application deployments and maintain configuration consistency. Monitoring & Alerting : Set up and maintain monitoring and alerting systems using tools like Dynatrace, Prometheus, Grafana, or Azure Monitor to ensure system reliability and performance. Incident Management : Participate in on-call rotations to respond to and resolve production incidents promptly. Collaboration : Work closely with development and operations teams to integrate DevOps best practices and ensure smooth application delivery. About US We turn customer challenges into growth opportunities. Material is a global strategy partner to the worlds most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences. We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve. Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners. Be a part of an Awesome Tribe Why work for Material In addition to fulfilling, high-impact work, company culture and benefits are integral to determining if a job is a right fit for you. Heres a bit about who we are and highlights around What we offer. Who We Are & What We Care About Material is a global company and we work with best-of-class brands worldwide. We also create and launch new brands and products, putting innovation and value creation at the center of our practice. Our clients are in the top of their class, across industry sectors from technology to retail, transportation, finance and healthcare. Material employees join a peer group of exceptionally talented colleagues across the company, the country, and even the world. We develop capabilities, craft and leading-edge market offerings across seven global practices including strategy and insights, design, data & analytics, technology and tracking. Our engagement management team makes it all hum for clients. We prize inclusion and interconnectedness. We amplify our impact through the people, perspectives, and expertise we engage in our work. Our commitment to deep human understanding combined with a science & systems approach uniquely equips us to bring a rich frame of reference to our work. A community focused on learning and making an impact. Material is an outcomes focused company. We create experiences that matter, create new value and make a difference in people's lives. What We Offer Professional Development and Mentorship. Hybrid work mode with remote friendly workplace. (6 times in a row Great Place To Work (Certified). Health and Family Insurance. 40+ Leaves per year along with maternity & paternity leaves. Wellness, meditation and Counselling sessions. (ref:hirist.tech)

We are seeking a skilled and motivated Data Engineer to join our team. The ideal candidate will design, develop, and maintain scalable data pipelines, optimize data storage solutions, and ensure efficient data integration across multiple systems. Responsibilities You will play a critical role in building the data infrastructure that supports our business intelligence, analytics, and machine learning Responsibilities : Design, build, and maintain scalable and reliable ETL/ELT pipelines to ingest and process large datasets from various sources. Develop and manage data warehouses, lakes, and databases to store and structure data efficiently. Collaborate with data analysts, data scientists, and software engineers to optimize data workflows. Implement and manage data governance, security, and compliance best practices. Monitor data performance and troubleshoot issues to ensure high availability and reliability. Work with cloud-based data platforms (AWS, Azure, GCP) to develop and optimize cloud data solutions. Create and maintain documentation for data pipelines, workflows, and data Qualifications : Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or a related field. 7+ years of experience in data engineering or a related role. Strong proficiency in SQL and experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, BigQuery). Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Luigi, AWS Glue). Hands-on experience with big data technologies such as Hadoop, Spark, or Kafka. Strong experience with Apache Spark and AWS Glue for data processing. Proficiency in Python, Scala, or Java for data processing and automation. Familiarity with cloud platforms (AWS, Azure, GCP) and their data-related services. Strong understanding of data modeling, warehousing, and ETL processes. Experience with CI/CD practices for data engineering and deployment. Excellent problem-solving skills and ability to work in a collaborative team Qualifications : Experience with real-time data streaming and processing technologies. Knowledge of machine learning pipelines and AI-driven data solutions. Certification in cloud data services (AWS Certified Data Analytics, Google Cloud Professional Data Engineer, etc.) Familiarity with containerization and orchestration (Docker, we offer : Opportunity to collaborate with leading companies across the globe. Opportunity to work with the latest and trending technologies. Competitive salary and performance-based bonuses. Comprehensive group health insurance. Flexible working hours and remote work options. Generous vacation and paid time off. Professional learning and development programs and certifications (ref:hirist.tech)

Role Overview We are seeking a highly skilled and experienced Java Full Stack Lead to drive the development, architecture, and delivery of scalable, cloud-native enterprise applications. The ideal candidate will have deep expertise in backend technologies using Java and Spring Boot, as well as advanced proficiency in modern frontend frameworks like Angular or React. This role demands a strong foundation in microservices, event-driven systems using Kafka, and deployment in containerized environments on AWS. Key Responsibilities Lead full-stack development efforts across backend, frontend, and integration layers. Design and implement robust, scalable microservices using Java 8+, Spring Boot 3+, and REST APIs. Architect and maintain event-driven systems using Apache Kafka for real-time data pipelines and asynchronous communication. Oversee containerization and orchestration workflows using Docker and Kubernetes. Build intuitive and responsive UI components using Angular (v2+) or React.js, and integrate with RESTful services. Collaborate with cross-functional teams (DevOps, QA, Product Management) in an Agile environment to ensure timely delivery of high-quality software. Optimize application performance, scalability, and security across the stack. Mentor and guide a team of developers across the software development lifecycle. Ensure best practices around design patterns, clean code principles, code reviews, and continuous integration. Backend Development Technical Skills - Must Have : Java 8+, Spring Boot 3+ REST APIs, Microservices Architecture Apache Kafka (Event-driven development) SQL and NoSQL databases (e.g., PostgreSQL, MongoDB) Maven or Gradle for build automation Frontend Development Angular (v2+) or React.js, Node.js HTML5, CSS3, JavaScript, jQuery, XML DevOps And Cloud Docker (Intermediate) Kubernetes (Basic working knowledge) AWS (Basic knowledge of services like EC2, S3, IAM, ECS) Software Engineering Practices Strong problem-solving skills and experience applying design patterns Experience with Git, CI/CD tools (Jenkins, GitLab CI, or similar) Test-driven development and automated testing frameworks (ref:hirist.tech)

Job Summary We are looking for a visionary Senior Software Architect with 3-5 years of experience who can bridge the gap between complex business requirements and elegant technical solutions. You will be instrumental in shaping our technology roadmap, driving architectural decisions, and ensuring the delivery of high-quality, performant, and maintainable applications. The ideal candidate will possess a deep understanding of full-stack development, cloud-native architectures, and enterprise-level system Responsibilities : Architectural Leadership : Lead the architectural design and evolution of modern, responsive applications using React, Next.js, and Blazor, ensuring scalability, performance, and Containerization & Orchestration : Design, implement, and manage scalable containerized solutions using Docker, and orchestrate their deployment and lifecycle within Kubernetes environments. Database Management & Optimization : Design and optimize robust relational and non-relational database solutions, specifically leveraging Postgres, Cosmos DB, and Azure SQL, to meet application demands. System Integration & Performance : Integrate and implement high-performance systems, utilizing technologies such as Apache for data processing and server workloads, ensuring seamless data flow and optimal resource utilization. Messaging & Event-Driven Systems : Architect and implement sophisticated messaging and event-driven architectures using Kafka and RabbitMQ to support asynchronous communication and real-time data processing. Stakeholder Collaboration : Collaborate closely with product managers, business analysts, and other technical stakeholders to elicit and define technical requirements, translating complex business needs into clear, actionable architectural blueprints. Quality Assurance & Best Practices : Champion and enforce best practices in coding standards, software security, performance optimization, and architectural patterns across the entire technology stack. Technical Guidance & Mentorship : Provide strong technical leadership, guidance, and mentorship to development teams throughout the entire software development lifecycle, fostering a culture of technical excellence and continuous Skills and Experience : Experience Level : 3-5 years of demonstrable experience in software architecture and development roles. Frontend & Full-Stack Expertise : Strong proficiency and proven experience with modern frontend frameworks including React and Next.js, along with experience in Blazor for web application development. Cloud-Native & DevOps : Strong hands-on experience with Docker for containerization and Kubernetes for container orchestration in production environments. Database Proficiency : Proven expertise in designing, implementing, and optimizing solutions with relational databases (e.g., Postgres) and non-relational databases (e.g., Cosmos DB), including familiarity with Azure SQL. Messaging & Eventing : Demonstrated experience in implementing and managing robust messaging systems using Kafka and RabbitMQ. Server & Data Processing : Experience with Apache for various server configurations and data processing workflows. Solution Design : Demonstrated ability to design comprehensive, end-to-end solutions for complex, large-scale systems, considering aspects like security, reliability, and scalability. Problem-Solving : Excellent analytical and problem-solving skills, with the ability to troubleshoot complex technical issues and propose effective solutions. Communication : Strong verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences. Team Player : Ability to work effectively in a collaborative team environment and influence architectural Points (Nice to Have) : Experience with other cloud platforms (AWS, GCP). Familiarity with CI/CD pipelines and DevOps automation tools. Contributions to open-source projects. Experience in a hybrid or remote work setup. (ref:hirist.tech)

Location : Udaipur. Key Responsibilities Lead the DevOps team and define best practices for CI/CD pipelines, release management, and infrastructure automation. Design, implement, and maintain scalable infrastructure using tools such as Terraform, CloudFormation, or Ansible. Manage and optimize cloud services (e.g., AWS, Azure, GCP) for cost, performance, and security. Oversee monitoring, alerting, and logging systems (e.g., Prometheus, Grafana, ELK, Datadog). Implement and enforce security, compliance, and governance policies in cloud environments. Collaborate with development, QA, and product teams to ensure reliable and efficient software delivery. Lead incident response and root cause analysis for production issues. Evaluate new technologies and tools to improve system efficiency and reliability. Required Qualifications Bachelor's or master's degree in computer science, Engineering, or related field. 5 years of experience in DevOps or SRE roles, with at least 2 years in a lead or managerial capacity. Strong experience with CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI/CD). Expertise in infrastructure as code (IaC) and configuration management. Proficiency in scripting languages (e.g., Python, Bash). Deep knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes). Experience with version control (Git), artifact repositories, and deployment strategies (blue/green, canary). Solid understanding of networking, DNS, firewalls, and security protocols. Preferred Qualifications Certifications (e.g., Azure Certified DevOps Engineer, CKA/CKAD). Experience in a regulated environment (e.g., HIPAA, PCI, SOC2). Exposure to observability platforms and chaos engineering practices. Background in agile/scrum environments. Soft Skills Strong leadership and team-building capabilities. Excellent problem-solving and troubleshooting skills. Clear and effective communication, both written and verbal. Ability to work under pressure and adapt quickly in a fast-paced environment. (ref:hirist.tech)

Job Description Develop and implement machine learning models to solve business problems, including classification, regression, clustering, and recommendation systems. Build and manage end-to-end data science pipelines, including data preprocessing, feature engineering, model development, and deployment. Collaborate with cross-functional teams to integrate models into production environments. Ensure models are scalable, accurate, and aligned with business objectives. Work with both structured and unstructured data from various sources, including images, text, and sensor data. Continuously evaluate and improve model performance, ensuring that solutions are up-to-date with the latest advancements in AI/ML. Key Qualifications Bachelor's or Master's degree in computer science, Engineering, or related field. Minimum of 3+ years of hands-on experience in data science and machine learning. Strong proficiency in Python and experience with libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch. Experience in building and deploying machine learning models in production environments. Strongexperience with NLP techniques deep learning models including CNNs, RNNs, and Transformers including LLMs, classification, and sentiment analysis. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus. Strong analytical and problem-solving skills, with the ability to work with large, complex datasets. Excellent communicatio (ref:hirist.tech)

Job Summary We are looking for an experienced DevOps Lead to join our technology team and drive the design, implementation, and optimization of our DevOps processes and infrastructure. You will lead a team of engineers to ensure smooth CI/CD workflows, scalable cloud environments, and high availability for all deployed applications. This is a hands-on leadership role requiring a strong technical foundation and a collaborative Responsibilities : Lead the DevOps team and define best practices for CI/CD pipelines, release management, and infrastructure automation. Design, implement, and maintain scalable infrastructure using tools such as Terraform, CloudFormation, or Ansible. Manage and optimize cloud services (e.g., AWS, Azure, GCP) for cost, performance, and security. Oversee monitoring, alerting, and logging systems (e.g., Prometheus, Grafana, ELK, Datadog). Implement and enforce security, compliance, and governance policies in cloud environments. Collaborate with development, QA, and product teams to ensure reliable and efficient software delivery. Lead incident response and root cause analysis for production issues. Evaluate new technologies and tools to improve system efficiency and Qualifications : Bachelor's or master's degree in computer science, Engineering, or related field. 5+ years of experience in DevOps or SRE roles, with at least 2 years in a lead or managerial capacity. Strong experience with CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI/CD). Expertise in infrastructure as code (IaC) and configuration management. Proficiency in scripting languages (e.g., Python, Bash). Deep knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes). Experience with version control (Git), artifact repositories, and deployment strategies (blue/green, canary). Solid understanding of networking, DNS, firewalls, and security Qualifications : Certifications (e.g., Azure Certified DevOps Engineer, CKA/CKAD). Experience in a regulated environment (e.g., HIPAA, PCI, SOC2). Exposure to observability platforms and chaos engineering practices. Background in : Strong leadership and team-building capabilities. Excellent problem-solving and troubleshooting skills. Clear and effective communication, both written and verbal. Ability to work under pressure and adapt quickly in a fast-paced environment. (ref:hirist.tech)

This job is with Entain, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Entain India is the engineering and delivery powerhouse for Entain, one of the world’s leading global sports and gaming groups. Established in Hyderabad in 2001, we’ve grown from a small tech hub into a dynamic force, delivering cutting-edge software solutions and support services that power billions of transactions for millions of users worldwide. Our focus on quality at scale drives us to create innovative technology that supports Entain’s mission to lead the change in global sports and gaming sector. At Entain India, we make the impossible possible, together. As a Security Solutions Architectyou will spearhead the implementation of robust security-related projects. In this role, you will be instrumental in making sure our systems, data, and infrastructure are fortified against potential threats. Reporting to thelead security Architect your primary responsibility will be to design and strategize security projects aimed at bolstering the company's defense mechanisms. The Security Solutions Architect will serve as the cornerstone of our security efforts, collaborating closely with various teams, mostly within the Information Security department. Your proactive, detail-oriented approach and strong technical acumen will be invaluable as you work across teams to create solution designs which will enable smooth integration and execution of various security-related applications and initiatives. This role will primarily focus on projects originating from the Information Security department. Design solutions to implement the Group’s Information Security strategy. Provide input and guidance to the project manager for the end-to-end planning, resource requirements, execution, and monitoring of security-related projects, enabling the projects to be delivered on time, within scope, and on budget. Take a proactive approach to driving the success of security initiatives, contributing to the overall security posture of the organization. Work closely with various teams within the Information Security department to ensure alignment with security objectives. Gather functional requirements and design suitable security solutions aligned with business requirements. Ensure that all solution designs enable smooth integration and execution of security-related applications and initiatives. Qualifications Experience with designing and implementing security-related solutions, including on-premises, cloud-based, and containerization technologies, in a large-scale environment. Strong understanding of information security principles, practices, technologies, technical developments and directions. Familiarity with cloud security principles and technologies (e.g., AWS, Azure, GCP) is a plus, preferably with a high level of expertise in one or more of these platforms. Familiarity with containerization technologies and container security concepts. Solid understanding of security frameworks, risk management, regulatory and industry standards (e.g., ISO 27001, PCI-DSS, NIST, GDPR, MITRE ATT&CK). Expertise in solution architecture, with the ability to design comprehensive security solutions aligned with business needs and objectives. Experience in developing architecture diagrams, technical specifications, and implementation plans for security projects. Basic project management skills to effectively plan, coordinate, and execute security projects within defined timelines and budgets. Ability to prioritize tasks, manage multiple projects simultaneously, and adapt to changing priorities and requirements. Excellent interpersonal communication skills, both verbal and written, to convey complex technical concepts to technical and non-technical stakeholders. Autonomous, self-organized, flexible, proactively taking initiative. Additional Information We know that signing top players requires a great starting package, and plenty of support to inspire peak performance. Join us, and a competitive salary is just the beginning. Working for us in[insert location of role], you can expect to receive great benefits like: Safe home pickup and home drop (Hyderabad Office Only) Group Mediclaim policy Group Critical Illness policy Communication & Relocation allowance Annual Health check And outside of this, you’ll have the chance to turn recognition from leaders and colleagues into amazing prizes. Join a winning team of talented people and be a part of an inclusive and supporting community where everyone is celebrated for being themselves. At Entain India, we do what’s right. It’s one of our core values and that’s why we're taking the lead when it comes to creating a diverse, equitable and inclusive future - for our people, and the wider global sports betting and gaming sector. However you identify, across any protected characteristic, our ambition is to ensure our people across the globe feel valued, respected and their individuality celebrated. We comply with all applicable recruitment regulations and employment laws in the jurisdictions where we operate, ensuring ethical and compliant hiring practices globally. Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build what’s next for their businesses Your Role Job Summary: We are seeking a Transformation Lead with a strong background in Azure cloud architecture and hands-on experience in implementing Generative AI (GenAI) solutions. This role blends cloud-native application design with modern AI capabilities, supporting the organization's journey toward intelligent, scalable, and AI-augmented systems. Key Responsibilities: Azure Architecture & Cloud Solutions Design and build secure, scalable applications using Azure services like App Services, Functions, and Azure DevOps. Lead migration and modernization of applications from on-premises to Azure. Apply architectural patterns such as microservices and serverless designs. Work closely with engineering, QA, DevOps, and product teams to ensure solution delivery. Generative AI Development & Integration Design and implement GenAI solutions using frameworks like LangChain, LangGraph, Autogen, crewAI, or OpenAI Agent SDK to orchestrate multi-step reasoning and agent workflows. Design and deliver AI-powered solutions for production use cases such as intelligent document processing, automated content generation, enterprise search assistants, and decision-support systems. Apply techniques like Retrieval-Augmented Generation (RAG), prompt engineering, and model fine-tuning. Integrate agentic components into production systems with proper monitoring, feedback loops, and business logic alignment. Collaborate with cross-functional teams to ensure GenAI adoption aligns with enterprise standards and business objectives Your Profile Experience: Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field Strong experience in Azure cloud services and infrastructure. Practical understanding of GenAI frameworks such as LangChain, LangGraph, Autogen, crewAI, OpenAI Agent SDK Proficiency in Python for AI/ML development. Experience working with LLMs and GenAI techniques such as prompt engineering and RAG. Background in building microservices and serverless solutions. Familiarity with containerization (Docker) and orchestration (Kubernetes). Understanding of CI/CD and basic MLOps workflows. Ability to translate business needs into scalable technical solutions. What You Will Love About Working Here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Company Description SBS is a global financial technology company that’s helping banks and the financial services industry to reimagine how to operate in an increasingly digital world. SBS is a trusted partner of more than 1,500 financial institutions and large-scale lenders in 80 countries worldwide, including Santander, Societé Generale, KCB Bank, Kensington Mortgages, Mercedes-Benz, and Toyota FS. Its cloud platform offers clients a composable architecture to digitize operations, ranging from banking, lending, compliance, to payments, and consumer and asset finance. With 3,400 employees in 50 offices, SBS is recognized as a Top 10 European Fintech company by IDC and as a leader in Omdia’s Universe: Digital Banking Platforms. Job Description About the Role: We are seeking a highly skilled and experienced Technical Lead to join our dynamic team. The ideal candidate will have a strong background in JAVA Classic technologies and a proven track record of leading technical projects. You will be responsible for guiding the development team, ensuring the delivery of high-quality software solutions, and driving innovation within the organization. Key Responsibilities: Lead and mentor a team of developers in the design, development, and deployment of JAVA-based applications. Collaborate with cross-functional teams to define, design, and ship new features. Ensure the performance, quality, and responsiveness of applications. Identify and correct bottlenecks and fix bugs. Maintain code quality, organization, and automation. Implement and manage CI/CD pipelines. Ensure security best practices are followed, including the use of SAST and SCA tools. Conduct code reviews and provide constructive feedback. Stay updated with the latest industry trends and technologies. Technical Skills Required: JAVA Classic: Strong proficiency in JAVA programming. JSF (JavaServer Faces): Experience in building user interfaces for web applications. Spring Framework: In-depth knowledge of Spring Core, Spring MVC, Spring Boot, and Spring Security. Hibernate ORM: Expertise in object-relational mapping and database management. Maven: Proficiency in project management and build automation. Jboss: Experience with Jboss application server. Docker: Knowledge of containerization and orchestration. CI/CD: Experience with continuous integration and continuous deployment practices. Security Concepts: Understanding of security vulnerabilities, SAST (Static Application Security Testing), SCA (Software Composition Analysis) tools, and their resolution. Agile (Scrum): Experience working in Agile development environments. Analytical and Debugging Skills: Strong problem-solving abilities and debugging skills. Shell Scripting: Proficiency in writing and maintaining shell scripts. Total Experience Expected: 08-11 years Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. 4-8 years of relevant experience in software development and technical leadership. Proven experience in leading technical teams and projects. Strong analytical skills to troubleshoot and resolve technical challenges. Ability to collaborate with cross-functional teams and communicate technical solutions effectively. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Additional Information At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences. All of our positions are open to people with disabilities.

Position: AI Engineer Location: Work from Office – 5 Days a Week Company: Kale Logistics Solutions About the Role: Kale Logistics is seeking a highly skilled and motivated AI Engineer to lead the development of innovative Generative AI and Agentic AI applications. This role involves designing, developing, and integrating cutting-edge AI models into scalable web-based products. You will collaborate with cross-functional teams to build, deploy, and optimize AI-powered solutions that transform the logistics industry. Key Responsibilities: Design, develop, and deploy scalable AI-powered applications using Python and modern AI frameworks. Build and manage robust APIs to integrate AI models with web applications. Utilize frameworks like LangChain, LangGraph, AutoGen, CrewAI, Hugging Face, OpenAI APIs, PyTorch, TensorFlow, and Phidata to build AI-driven solutions. Work with Generative AI models, Agent-based systems, and LLMs for real-world applications. Develop AI workflows, including data preprocessing, model training, deployment, and monitoring. Apply MLOps practices to automate and optimize the AI lifecycle (CI/CD, monitoring, scaling). Deploy solutions in cloud environments such as AWS, Azure, or GCP using tools like Docker, Kubernetes, and other orchestration platforms. Collaborate with product managers, UX designers, and software engineers to align AI solutions with business needs. Stay updated with emerging AI trends and technologies and implement relevant innovations. Conduct effective troubleshooting and root cause analysis (RCA) to resolve production issues. Requirements: Must-Have Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related fields. Pedigree: Must be a graduate from IIT, NIT, or BITS. Technical Experience: 3+ years of experience in AI/ML development using the Python stack. Proficiency in Python, REST APIs, and backend development. Experience with AI/ML frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Hugging Face, OpenAI APIs, PyTorch, TensorFlow. Solid understanding of algorithms, data preprocessing, AI/ML fundamentals, and generative models. Hands-on experience with AI model deployment, scalability, and performance optimization. Familiarity with cloud platforms (AWS, Azure, or GCP). Version control (Git), CI/CD pipelines, and containerization (Docker/Kubernetes). Nice to Have: Experience with MLOps tools and practices, model lifecycle management, and monitoring. Exposure to Phidata, CrewAI, or other emerging AI agent frameworks. Soft Skills: Excellent problem-solving and analytical skills. Strong communication skills to collaborate with cross-functional teams and stakeholders. Self-driven with a passion for innovation and emerging AI technologies. Ability to work independently and within a fast-paced, collaborative environment. Why Join Kale Logistics? Work at the forefront of AI innovation in air and port cargo logistics. Collaborate with a passionate team of AI engineers, developers, and innovators. Gain hands-on experience with cutting-edge AI frameworks, LLMs, and generative AI models. Clear growth paths with continuous learning and upskilling opportunities. Competitive compensation and benefits package.

Kyndryl IT Bengaluru, Karnataka, India Hyderabad, Telangana, India Pune, Maharashtra, India Chennai, Tamil Nadu, India Sector 135, Noida, Uttar Pradesh, India Posted on Jun 28, 2025 Apply now Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Are you an experienced Software Architect looking for an exciting opportunity to shape the future of software development? Look no further than Kyndryl, where you'll have the chance to make a meaningful impact as you lead the design and development of cutting-edge software applications. As a Software Engineering Architect at Kyndryl, you will be responsible for leading the charge in creating technical blueprints, defining product/solution architecture, and developing the technical specifications for our projects. You'll be a key player in integrating the features of our software applications into a cohesive and functioning system. Your analytical and creative mindset will be put to the test as you anticipate trends, stay up-to-date on leading technology, and participate in Kyndryl's architectural boards. Your expertise will guide functional objectives and technologies, and you'll be a driving force in evaluating, identifying, and developing software solutions. In addition to your technical prowess, you'll also be a strong leader and communicator, able to train and oversee the activities of our development team. You'll foster a collaborative environment and work closely with Marketing Managers, Product Managers, Programmers, and Engineers to ensure our software solutions are meeting the needs of our business and our customers. This is a rare opportunity to work with some of the most talented minds in the industry and be part of an innovative company that is leading the way in software development. If you're ready to take your skills to the next level and make a real impact in the world of software engineering, we want to hear from you. Roles & Responsibilities Solution Design and Architecture: Develop and design comprehensive solutions using Power Platform components including Power Apps, Power Automate, Power BI, and Copilot Studio (Formerly known as Power Virtual Agents). Stakeholder Collaboration: Engage with business stakeholders to gather requirements, understand business processes, and translate them into technical specifications. Project Leadership: Lead the end-to-end implementation of Power Platform solutions, ensuring they meet business needs and are delivered on time and within budget. Technical Expertise: Provide expert guidance on best practices for Power Platform development, integration, and deployment. Mentorship and Training: Mentor junior developers and conduct training sessions to upskill team members on Power Platform technologies. Quality Assurance: Ensure the quality and performance of solutions through rigorous testing and adherence to development standards. Continuous Improvement: Stay up-to-date with the latest Power Platform features and updates, and incorporate them into solutions to drive continuous improvement. Conduct code reviews, troubleshoot technical issues, and optimize existing solutions. Stay updated with the latest advancements in Power Platform, AI capabilities, and Copilot features. Ability to bridge gaps between business requirements and technical implementation. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all major platforms. One of the benefits of Kyndryl is that we work with customers in a variety of industries, from banking to retail. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical and Professional Expertise 5+ years of experience in designing and implementing solutions using Microsoft Power Platform. Experience working in an Agile development environment and DevOps. Previous experience in a leadership or senior technical role. Experience with Microsoft Dynamics 365, Azure services, AI Builder, RPA and Copilot Studio. Proven track record of delivering successful Power Platform projects in a consulting or enterprise environment. Experience in enterprise-scale digital transformation projects. Microsoft Certified: Power Platform Solution Architect Expert - PL600 Microsoft Certified: Power Platform Functional Consultant Associate – PL200 Microsoft Certified: Power Platform Developer Associate – PL400 Microsoft Certified: Azure Solutions Architect Expert (preferred) Microsoft Certified: Dynamics 365 + Power Platform Solution Architect (preferred) Preferred Technical And Professional Experience Bachelor's degree in Computer Science, related technical field, or equivalent practical experience Experience with one or more automation tools like Ansible, Puppet, Chef, Terraform Experience with containerization packaging, tooling, and DevOps methodologies Experience in management and orchestration for distributed federated edge K8S clusters like Helm Understanding of computer networking and protocols Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address. Apply now See more open positions at Kyndryl

Role: Angular QA Engineer Location: Hyderabad, India Full/ Part-time: Full time Build a career with confidence Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do. Role & Responsibilities Designing, building, and implementing IoT solutions according to business requirements Analyzing and understanding current IoT ecosystems to identify weaknesses and areas for improvement Collaborating with cross-functional teams, including hardware engineers, data scientists, and business stakeholders, to develop comprehensive IoT solutions Creating and maintaining technical documentation, including system architecture, data flow diagrams, and API definitions Ensuring the security, scalability, and reliability of IoT solutions, including implementing appropriate data encryption and privacy measures Conducting testing and troubleshooting to diagnose and resolve IoT system issues Evaluating and integrating new IoT technologies and platforms to enhance system capabilities Providing technical guidance and support to development teams and stakeholders Monitoring and analyzing the performance of IoT systems to ensure they meet business objectives and user needs Minimum Required Skills Qualifications: BE/ME or BTech/MTech – computer science, Engineering, or a related field. Experience Extensive experience as a Software Architect with a focus on IoT solutions with 15+ years of experience in below areas: Programming Languages: Proficiency in languages such as Python, JavaScript, C/C++, and Java. Edge Platforms: Experience with edge computing platforms like Raspberry Pi, Arduino, or similar. Cloud Services: Expertise in cloud platforms such as AWS IoT, Azure IoT, or Google Cloud IoT. Networking: Strong understanding of networking protocols and IoT communication standards (e.g., MQTT, CoAP). Database Management: Experience with both SQL and NoSQL databases. DevOps: Knowledge of CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes). Experience with modern DevOps practices and tools: test-driven development, GIT, automated builds and tests, CI/CD with Gitlab/GitHub, Jenkins, AWS etc. Soft Skills: Excellent problem-solving abilities, strong communication skills, and the ability to work collaboratively in a team environment. Benefits We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary. Enjoy your best years with our retirement savings plan Have peace of mind and body with our health insurance Make yourself a priority with flexible schedules, parental leave and our holiday purchase scheme Drive forward your career through professional development opportunities Achieve your personal goals with our Employee Assistance Programme. Our commitment to you Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way . Join us and make a difference. Apply Now! Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Job Applicant's Privacy Notice Click on this link to read the Job Applicant's Privacy Notice

Job Title: Senior Consultant - Full Stack Engineer - Data Analytics & AI Introduction To Role Are you ready to disrupt an industry and change lives? At AstraZeneca, our Operations IT team is at the forefront of transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining cutting-edge science with leading digital technology platforms and data. As a Senior Consultant - Full Stack Engineer in Data Analytics & AI, you'll play a pivotal role in developing robust, scalable systems that drive analytics and data-driven decisions across AstraZeneca’s Operations. Join us in redefining our impact on patients through data, analytics, AI, machine learning, and more! Accountabilities Design, develop, and maintain scalable, high-performance front-end and back-end components using ReactJS (Next.js is a plus) and Node.js or Python APIs, ensuring robust and maintainable codebases. Architect and implement APIs and microservices connecting diverse data sources and supporting analytics and AI-driven solutions. Integrate, manage, and optimize both SQL and NoSQL databases, ensuring data structures support application requirements, high reliability, and performance. Utilize and manage AWS cloud services such as S3, Lambda, EC2, ECS, DynamoDB, EKS, Amazon Bedrock, and OpenSearch (Vector DB) for application hosting, compute, storage, and advanced analytics workloads. Implement and manage automated CI/CD pipelines using GitHub Actions or Jenkins, upholding high standards for code integration, deployment, and delivery. Collaborate with DevOps, QA, UI/UX designers, product managers, and business stakeholders throughout the SDLC to deliver innovative software and data solutions aligned to requirements. Perform unit testing, system integration testing, regression testing, and assist with user acceptance testing to ensure data solutions meet quality standards. Work with the QA Team to develop testing protocols and identify and correct challenges. Maintain clear and comprehensive documentation, including Knowledge Base Articles (KBAs), data models, pipeline documentation, and deployment release notes. Diagnose and resolve complex issues related to data pipelines, backend services, and frontend applications, ensuring smooth operation and optimal user experience. Create and maintain engaging data visualizations and dashboards to deliver actionable insights, supporting the business in decision-making and monitoring. Liaise with internal teams and third-party vendors to address application issues, technical dependencies, and project needs effectively. Support and mentor junior developers through peer reviews, knowledge sharing, and best practice guidance. Stay current with emerging trends in software development, cloud services, and data engineering, continuously seeking opportunities to improve architecture, performance, and development efficiency. Ensure compliance with data security, privacy regulations, and internal standards through rigorous validation, data cleansing, and responsible development practices. Essential Skills/Experience Minimum 7+ years of experience in developing and delivering software engineering and data engineering solutions. Experience with ELT/ETL tools such as SnapLogic, FiveTran, or similar are good to have. Experience in Snowflake, DBT (Data Build Tool), and similar data warehousing technologies are added benefits. Frontend: ReactJS (Next.js experience is good to have, but not mandatory) Backend: Node.js and/or Python APIs (such as FastAPI or Express) DevOps & CI/CD: Experience with either GitHub Actions or Jenkins to automate deployment, integration, and testing processes Cloud & Data: Deep experience with AWS, including S3, Lambda, EC2, ECS, DynamoDB, Amazon Bedrock, EKS, and OpenSearch (Vector DB); strong capabilities in both SQL (e.g., PostgreSQL, MySQL) and NoSQL database concepts Software Engineering: Solid coding, unit testing, and debugging experience; familiarity with containerization (Docker, Kubernetes/EKS); advanced problem-solving skills Desirable Skills/Experience Experience or exposure to Next.js, as well as working with analytics, ETL/ELT workflows, data pipelines, data visualization (Power BI or similar), and cloud-native data architectures is beneficial. Skills in building robust APIs and integrating advanced cloud services (e.g., Amazon Bedrock for generative AI workloads) are highly desirable. A bachelor's or master's degree in Computer Science or related fields is preferred. Experience within life sciences or pharmaceutical industries is an advantage. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, we leverage technology to impact patients and ultimately save lives. Our global organization is purpose-led, ensuring we push the boundaries of science to discover and develop life-changing medicines. We take pride in working close to the cause, unlocking potential to make a massive difference to the outside world. With investment behind us, there's no slowing us down as we drive cross-company change to disrupt the entire industry. Ready to make a meaningful impact? Apply now to join our team at AstraZeneca! Date Posted 27-Jun-2025 Closing Date 09-Jul-2025 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Role : Senior Consultant Full Stack Engineer – Data Analytics and AI Introduction To Role Are you ready to disrupt an industry and change lives? At AstraZeneca, our Operations IT team is at the forefront of transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining ground breaking science with leading digital technology platforms and data. As a Senior Consultant - Full Stack Engineer in Data Analytics & AI, you'll play a pivotal role in developing robust, scalable systems that drive analytics and data-driven decisions across AstraZeneca’s Operations. Join us in redefining our impact on patients through data, analytics, AI, machine learning, and more! Accountabilities Design, develop, and maintain scalable, high-performance front-end and back-end components using ReactJS (Next.js is a plus) and Node.js or Python APIs, ensuring robust and maintainable codebases. Architect and implement APIs and microservices connecting diverse data sources and supporting analytics and AI-driven solutions. Integrate, manage, and optimize both SQL and NoSQL databases, ensuring data structures support application requirements, high reliability, and performance. Apply and manage AWS cloud services such as S3, Lambda, EC2, ECS, DynamoDB, EKS, Amazon Bedrock, and OpenSearch (Vector DB) for application hosting, compute, storage, and advanced analytics workloads. Implement and manage automated CI/CD pipelines using GitHub Actions or Jenkins, upholding high standards for code integration, deployment, and delivery. Collaborate with DevOps, QA, UI/UX designers, product managers, and business partners throughout the SDLC to deliver innovative software and data solutions aligned to requirements. Perform unit testing, system integration testing, regression testing, and assist with user acceptance testing to ensure data solutions meet quality standards. Work with the QA Team to develop testing protocols and identify and correct challenges. Maintain clear and comprehensive documentation, including Knowledge Base Articles (KBAs), data models, pipeline documentation, and deployment release notes. Diagnose and resolve complex issues related to data pipelines, backend services, and frontend applications, ensuring smooth operation and optimal user experience. Create and maintain engaging data visualizations and dashboards to deliver actionable insights, supporting the business in decision-making and monitoring. Liaise with internal teams and third-party vendors to address application issues, technical dependencies, and project needs effectively. Support and mentor junior developers through peer reviews, knowledge sharing, and standard process guidance. Stay current with emerging trends in software development, cloud services, and data engineering, continuously seeking opportunities to improve architecture, performance, and development efficiency. Ensure compliance with data security, privacy regulations, and internal standards through rigorous validation, data cleansing, and responsible development practices. Essential Skills/Experience Minimum 7+ years of experience in developing and delivering software engineering and data engineering solutions. Experience with ELT/ETL tools such as SnapLogic, FiveTran, or similar are good to have. Experience in Snowflake, DBT (Data Build Tool), and similar data warehousing technologies are added benefits. Frontend: ReactJS (Next.js experience is good to have, but not mandatory) Backend: Node.js and/or Python APIs (such as FastAPI or Express) DevOps & CI/CD: Experience with either GitHub Actions or Jenkins to automate deployment, integration, and testing processes Cloud & Data: Deep experience with AWS, including S3, Lambda, EC2, ECS, DynamoDB, Amazon Bedrock, EKS, and OpenSearch (Vector DB); strong capabilities in both SQL (e.g., PostgreSQL, MySQL) and NoSQL database concepts Software Engineering: Solid coding, unit testing, and debugging experience; familiarity with containerization (Docker, Kubernetes/EKS); advanced problem-solving skills Desirable Skills/Experience Experience or exposure to Next.js, as well as working with analytics, ETL/ELT workflows, data pipelines, data visualization (Power BI or similar), and cloud-native data architectures is beneficial. Skills in building robust APIs and integrating advanced cloud services (e.g., Amazon Bedrock for generative AI workloads) are highly desirable. A bachelor's or master's degree in Computer Science or related fields is preferred. Experience within life sciences or pharmaceutical industries is an advantage. When we put unexpected teams in the same room, we fuel bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, we demonstrate technology to impact patients and ultimately save lives. Our global organization is purpose-led, ensuring we push the boundaries of science to discover and develop life-changing medicines. We take pride in working close to the cause, unlocking potential to make a massive difference to the outside world. With investment behind us, there's no slowing us down as we drive cross-company change to disrupt the entire industry. Ready to make a meaningful impact? Apply now to join our team at AstraZeneca! Date Posted 27-Jun-2025 Closing Date 26-Oct-2025 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Job Title: Director- Data & Analytics Engineer GCL - F Introduction To Role As the Director of Data & Analytics Engineering, you'll be at the forefront of revolutionizing how competitive intelligence is created, shared, and consumed within AstraZeneca. Through Connected Insights, we are making our data Findable, Accessible, Interoperable, and Re-usable (FAIR). You'll architect solutions that ensure unstructured data is readily available for AI applications, using innovative technologies like vector databases and knowledge graphs. Your leadership will guide a team of dedicated engineers in developing scalable data solutions and database enhancements for large-scale products. Are you prepared to drive innovation and excellence in data engineering? Accountabilities Data Platform Design and Implementation Design and implement advanced data capabilities, including auto ingestion, data cataloguing, automated access control, lifecycle management, backup & restore, and AI-ready data structures. Implement vector databases and knowledge graphs to support AI and machine learning initiatives. AI-Focused Solution Architecture Collaborate with AI Engineering leads and Architects to design AI-ready data architectures. Analyze data requirements for AI applications, modeling both structured and unstructured data sources. ETL and Data Processing Implement optimal ETL workflows using SQL, APIs, ETL tools, AWS big data technologies, and AI-specific techniques. Develop processes to prepare data for AI model training and inference. AI Integration and Technical Leadership Lead technical deliveries across multiple initiatives, focusing on integrating AI capabilities into existing data solutions. Provide technical feedback on design, architecture, and integration of AI-enhanced data sourcing platforms. Collaborator, Teamwork and Problem Solving Liaise with technical infrastructure teams to resolve issues impacting AI application performance. Engage with architects, product owners, and business stakeholders to ensure efficient engineering of AI-driven data solutions. Agile Project Management Lead a dedicated Data pod including managing backlogs, sprints, and planning. Collaborate with product pods to help them meet their deliveries. Standards and Best Practices Define data engineering and AI integration standards in collaboration with architects and AI Engineering leads. Establish standard processes for managing AI model versioning and data lineage. Quality Assurance and Documentation Test, document, and quality assess new data and AI solutions. Implement robust testing frameworks for AI models and data pipelines. Research and Development Explore emerging AI technologies and drive their integration into existing data infrastructure. Technical Problem Solving and Innovation Adopt a "can-do" approach to technical challenges related to AI integration. Coach team members on solving complex AI and data engineering problems. Team Leadership and Development Build and support your team through hiring, coaching, and mentoring. Foster a culture of continuous learning in AI and data technologies. Code and Design Quality Perform regular quality checks of both data engineering and AI-related code. Guide engineers on design patterns emphasizing AI-specific considerations. Data Interoperability and FAIR Principles Lead initiatives to enhance data interoperability through rich metadata. Ensure all data solutions align with FAIR principles. Knowledge Graph Development Be responsible for the design, implementation, and maintenance of knowledge graphs using Neo4j. Integrate knowledge graphs with AI applications to enhance data context. Essential Skills/Experience Must have a B.Tech/M.Tech/MSc in Computer Science, Engineering, or related field. Experience in leading data engineering teams to deliver robust and scalable data products, with a focus on preparing datasets for AI/ML use cases. Deep expertise in the AWS data engineering ecosystem (SNS, SQS, Lambda, Glue, S3, EMR, log management, AWS containers, EC2, EBS, access control, data streaming, AWS CLI & SDK, backup & restore, etc). Excellent programming skills in Python or Java, including Object-Oriented Programming, and proficiency with Airflow, Apache Spark, source control (GIT), and versioning. Extensive experience in designing, building, and optimizing large-scale data pipelines, including ingestion, transformation, and orchestration using tools such as Airflow. Familiarity with Snowflake tools and services. Hands-on experience with metadata management and the application of controlled vocabularies and ontologies to ensure data interoperability and discoverability. Working knowledge of vector databases and implementing semantic search capabilities for unstructured and semi-structured datasets. Strong understanding of data modelling concepts, SQL (including advanced SQL), and database design—especially for unstructured and semi-structured data (XML, JSON). Experience designing data cataloguing, auto-ingestion, automated access control, lifecycle management, backup & restore, and other self-service data management features. Exposure to software engineering CI/CD processes, including implementation of automated testing, build, release, deployment, containerization, and configuration management. Experience using JIRA, Confluence, and other tools to manage Agile and SAFe project delivery. Strong communication, teamwork, and mentoring skills, with the ability to build, coach, and guide high-performing data engineering teams focused on AI/ML objectives. Desirable Skills/Experience Demonstrated experience in developing knowledge graphs (e.g., with Neo4j) and making data AI-ready for Retrieval-Augmented Generation (RAG) and Generative AI (GenAI) applications. When we put unexpected teams in the same room, we fuel ambitious thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, you'll find yourself at the heart of innovation where impactful work meets large-scale transformation. We connect across the business to influence patient outcomes positively while driving pioneering change towards becoming a digital enterprise. Collaborate with leading experts using innovative techniques to turn complex information into practical insights that improve lives globally. Our inclusive team grows with diversity—bringing together different functions to decode business needs effectively. Here is where you can raise your personal profile through publishing work or showcasing your achievements. Ready to make a difference? Apply now to join our dynamic team! Date Posted 27-Jun-2025 Closing Date 20-Jul-2025 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role We seek a highly skilled Senior Machine Learning Engineer / Senior Data Scientist to design, develop, and deploy advanced machine learning models and systems. The ideal candidate will have deep expertise in machine learning algorithms, data processing, and model deployment, with a proven track record of delivering scalable AI solutions in production environments. This role requires strong technical leadership, collaboration with cross-functional teams, and a passion for solving complex problems. Key tasks & accountabilities Model Development: Design, develop, and optimize machine learning models for various applications, including but not limited to natural language processing, computer vision, and predictive analytics. Data Pipeline Management: Build and maintain robust data pipelines for preprocessing, feature engineering, and data augmentation to support model training and evaluation. Model Deployment: Deploy machine learning models into production environments, ensuring scalability, reliability, and performance using tools like Docker, Kubernetes, or cloud platforms preferably Azure. Research and Innovation: Stay updated on the latest advancements in machine learning and AI, incorporating state-of-the-art techniques into projects to improve performance and efficiency. Collaboration: Work closely with data scientists, software engineers, product managers, and other stakeholders to translate business requirements into technical solutions. Performance Optimization: Monitor and optimize model performance, addressing issues like model drift, bias, and scalability challenges. Code Quality: Write clean, maintainable, and well-documented code, adhering to best practices for software development and version control (e.g., Git). Mentorship: Provide technical guidance and mentorship to junior engineers, fostering a culture of learning and innovation within the team. 3. Qualifications, Experience, Skills Level Of Educational Attainment Required Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. PhD is a plus. Previous Work Experience 5+ years of experience in machine learning, data science, or a related field. Proven experience in designing, training, and deploying machine learning models in production. Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes). Technical Skills Required Proficiency in Python and libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Strong understanding of machine learning algorithms (e.g., regression, classification, clustering, deep learning, reinforcement learning, optimization). Experience with big data technologies (e.g., Hadoop, Spark, or similar) and data processing pipelines. Familiarity with MLOps practices, including model versioning, monitoring, and CI/CD for ML workflows. Knowledge of software engineering principles, including object-oriented programming, API development, and microservices architecture. Other Skills Required Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced, dynamic environment and manage multiple priorities. Experience with generative AI models or large language models (LLMs). Familiarity with distributed computing or high-performance computing environments. And above all of this, an undying love for beer! We dream big to create future with more cheers

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role As a Senior Data Scientist , you will play a pivotal role in advancing AB InBev’s global Non-Commercial Analytics initiatives. You will lead data science efforts, guiding the team to scale and standardize AI-driven solutions across multiple ABI markets. This role requires a strong mix of hands-on technical expertise, stakeholder management, and a vision for driving AI innovation at scale. Key tasks & accountabilities Lead and execute end-to-end data science projects, from data collection and preprocessing to model development, deployment, and performance monitoring. Mentor and guide junior data scientists, fostering a culture of innovation and continuous learning. Work closely with cross-functional stakeholders to understand business needs, gather feedback, and align AI solutions with strategic objectives. Present complex insights to non-technical stakeholders, translating data-driven findings into actionable business strategies. Hands-on experience with AI/ML methodologies, including forecasting, clustering, regression, classification, optimization, deep learning, and Generative AI. Expertise in data manipulation using Python, SQL, and Excel. Strong understanding of Object-Oriented Programming (OOP), data structures, and algorithms for machine learning applications. Experience with OCR technologies (both open-source and enterprise-grade tools). Exposure to ML Ops and containerization tools like Docker is a plus. Familiarity with Azure Tech Stack, Databricks, and ML Flow. Drive the development of scalable AI/ML solutions that can be leveraged across multiple markets. Passion for building large-scale, AI-powered products, ensuring seamless integration with business workflows. Stay updated with emerging trends in AI and data science, continuously improving methodologies and tools. 3. Qualifications, Experience, Skills Level of educational attainment required (1 or more of the following) B.Tech/BE/ Masters in Statistics or Economics/ econometrics, MBA. Previous Work Experience Minimum 5 years of relevant experience. Technical Skills Required Strong programming skills in Python (ability to build end-to-end ML/data pipelines is a plus). Experience with Large Language Models (LLMs) and their application in solving business problems. Hands-on expertise in statistical analysis, ML concepts, and optimization techniques. Experience in building and deploying large-scale software applications. Proficiency in Git for version control. Strong problem-solving and critical thinking abilities. Passion for solving complex business challenges using data-driven insights. Detail-oriented, analytical, and highly inquisitive. Curious, fast learner, and a strong team player. Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. And above all of this, an undying love for beer! We dream big to create future with more cheers

Candidates for this position are preferred to be based in Bangalore and will be expected to comply with their team's hybrid work schedule requirements. Who We Are: Wayfair is moving the world so that anyone can live in a home they love – a journey enabled by more than 3,000 Wayfair engineers and a data-centric culture. Wayfair’s Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques. The Advertising Optimization & Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions. We are looking for an experienced Senior Machine Learning Scientist to join the Advertising Optimization & Automation Science team. In this role, you will be responsible for building intelligent, ML-powered systems that drive personalized recommendations and campaign automation within Wayfair’s advertising platform. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your ML expertise to define and deliver 0-to-1 capabilities that unlock substantial commercial value and directly enhance advertiser outcomes. What You’ll do Design and build intelligent budget, tROAS, and SKU recommendations, and simulation-driven decisioning that extends beyond the current advertising platform capabilities. Lead the next phase of GenAI-powered creative optimization and automation to drive significant incremental ad revenue and improve supplier outcomes. Raise technical standards across the team by promoting best practices in ML system design and development. Partner cross-functionally with Product, Engineering, and Sales to deliver scalable ML solutions that improve supplier campaign performance. Ensure systems are designed for reuse, extensibility, and long-term impact across multiple advertising workflows. Research and apply best practices in advertising science, GenAI applications in creative personalization, and auction modeling. Keep Wayfair at the forefront of innovation in supplier marketing optimization. Collaborate with Engineering teams (AdTech, ML Platform, Campaign Management) to build and scale the infrastructure needed for automated, intelligent advertising decisioning. We Are a Match Because You Have: Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, or related field. 9+ years of experience in building large scale machine learning algorithms. 4+ years of experience working in an architect or technical leadership position. Strong theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks, transformers and NLP techniques. Proficiency in programming languages such as Python and relevant ML libraries (e.g., TensorFlow, PyTorch) to develop production-grade products. Strategic thinker with a customer-centric mindset and a desire for creative problem solving, looking to make a big impact in a growing organization. Demonstrated success influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis; Excellent written and verbal communication. Ability to partner cross-functionally to own and shape technical roadmaps Intellectual curiosity and a desire to always be learning! Nice to have Experience with GCP, Airflow, and containerization (Docker). Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc. Familiarity with Generative AI and agentic workflows. Experience in Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning.

Who We Are: Wayfair’s Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques. The Advertising Optimisation & Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions. We are seeking an experienced Senior Machine Learning Manager to lead a growing team focused on building intelligent, ML-powered systems that drive personalized recommendations and campaign automation within Wayfair’s advertising platform. In this role, you will have the opportunity to define and deliver 0-to-1 capabilities that unlock substantial commercial value and directly enhance advertiser outcomes. ​Working closely with a high-performing team of ML scientists and engineers, you'll tackle some of Wayfair's most intellectually challenging problems in machine learning, latency, and scalability, while directly contributing to the company's bottom line. What You’ll do: Own the strategy, roadmap, and execution of supplier advertising intelligence and automation solutions. Lead the next phase of GenAI-powered creative optimization, ML-based recommendation systems, and campaign automation to drive significant incremental ad revenue and improve supplier outcomes. Build, coach, and manage a team of ML scientists focused on developing intelligent budget, tROAS, and SKU recommendations, creative testing frameworks, and simulation-driven decisioning that extends beyond the current platform capabilities. Partner cross-functionally with Product, Engineering, and Sales to deliver scalable ML solutions that improve supplier campaign performance. Ensure systems are designed for reuse, extensibility, and long-term impact across multiple advertising workflows. Research and apply best practices in advertising science, GenAI applications in creative personalisation, and auction modeling. Keep Wayfair at the forefront of innovation in supplier marketing optimisation. Collaborate with Engineering teams (AdTech, ML Platform, Campaign Management) to build and scale the infrastructure needed for automated, intelligent advertising decisioning. Act as SME and provide mentorship and technical guidance beyond own team on the broader DS/Eng org when needed What You’ll need: Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, or related field. 10+ years of industry experience, with at least 1-2 years experience as a manager of teams and 5+ serving as an IC on production ML systems. Strategic thinker with a customer-centric mindset and a desire for creative problem solving, looking to make a big impact in a growing organisation Demonstrated success influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis; Excellent written and verbal communication Ability to partner cross-functionally to own and shape technical roadmaps and the organizations required to drive them. Proficient in one or more programming languages, e.g. Python, Golang, Rust etc. Nice to have: Experience with GCP, Airflow, and containerization (Docker) Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc. Familiarity with Generative AI and agentic workflows Experience in Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Specialist Cloud HPC Architect - R&D Omics What You Will Do Let’s do this. Let’s change the world. In this vital role you will be responsible for development and maintenance of software in support of target/biomarker discovery at Amgen. The IS Architect designs the supporting infrastructure (servers, network, storage, etc.) for scalability, reliability, manageability, performance, and security per solution needs ensuring adherence to enterprise standards and patterns. Proper design of the infrastructure environment aligned to the needs of the solution promotes stability, scalability, and effective operation of the supported systems. Furthermore, by adhering to enterprise standards, solution delivery is accelerated and cost reduction realized while gaining additional benefits from a known platform that can be maintained and monitored. What We Expect Of You We are all different, yet we all use our unique contributions to serve patients. Roles & Responsibilities: Develop infrastructure reference models, standards, and patterns to guide and govern IS project delivery. Develop the enterprise infrastructure target state architecture aligned with Amgen’s strategic goals. Develop infrastructure roadmaps detailing initiatives and landmarks to meet the target state architecture . Assist with identifying, developing, and leading innovation initiatives including proof-of-concept exploration. Participate in architecture reviews to provide governance over the use of infrastructure assets . Partner closely with LFA role to drive enterprise adoption of architecture standard processes . Promotes the use of a shared infrastructure roadmap to reduce costs and improve how information flows. Basic Qualifications and Experience: Bachelor’s/master’s degree with 8 - 13 years of experience in IS Architecture, or related field. Preferred Qualifications: 2+ years of experience in biopharma or life sciences. Functional Skills: Must-Have Skills: Demonstrable experience designing cloud architecture and High-Performance Computing (HPC) cloud computing (AWS Batch, AWS HealthOmics, AWS PCluster). Proficiency in scripting languages (Python, Bash) and containerization technologies (Docker, Kubernetes). Experience with infrastructure as code (IaC) tools like Terraform or CloudFormation. Knowledge of networking, security, and database technologies in a cloud environment. Good-to-Have Skills: Experience with job schedulers (like SLURM, PBS), resource management, and system monitoring tools (DynaTrace). Strong Knowledge of Linux/Unix operating systems (RHEL/Ubuntu). Excellent problem-solving, communication, and team collaboration skills. Proficiency with virtual compute environments (EC2). Solid background in AI/ML technologies, with experience in deploying ML models. Familiarity with machine learning frameworks (TensorFlow, PyTorch) and data pipelines. Certifications in cloud architecture (AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect, etc.). Experience in an Agile development environment. Prior work with distributed computing and big data technologies (Hadoop, Spark). Operational experience running large scale platforms, including AI/ML platforms. Soft Skills: Strong learning agility, ability to pick up new technologies used to support early drug discovery data analysis needs. Collaborative with superb communication skills. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented with a focus on achieving team goals. What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Senior Associate Full Stack Software Engineer What You Will Do Let’s do this. Let’s change the world. In this vital role you will be responsible for designing, developing, and maintaining software applications and solutions that meet business needs and ensuring the availability and performance of critical systems and applications. This role involves working closely with product managers, designers, data engineers, and other engineers to create high-quality, scalable software solutions and automating operations, monitoring system health, and responding to incidents to minimize downtime. You will play a key role in a regulatory submission content automation initiative which will modernize and digitize the regulatory submission process, positioning Amgen as a leader in regulatory innovation. The initiative demonstrates innovative technologies, including Generative AI, Structured Content Management, and integrated data to automate the creation, and management of regulatory content. Roles & Responsibilities: Possesses strong rapid prototyping skills and can quickly translate concepts into working code Contribute to both front-end and back-end development using cloud technology Develop innovative solution using generative AI technologies Ensure code quality and consistency to standard methodologies Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations Identify and resolve technical challenges effectively Stay updated with the latest trends and advancements Work closely with product team, business team, and other collaborators Design, develop, and implement applications and modules, including custom reports, interfaces, and enhancements Analyze and understand the functional and technical requirements of applications, solutions and systems and translate them into software architecture and design specifications Develop and implement unit tests, integration tests, and other testing strategies to ensure the quality of the software Identify and resolve software bugs and performance issues Work closely with multi-functional teams, including product management, design, and QA, to deliver high-quality software on time Customize modules to meet specific business requirements Work on integrating with other systems and platforms to ensure seamless data flow and functionality Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently What We Expect Of You We are all different, yet we all use our unique contributions to serve patients. Master’s degree and 1 to 3 years of experience in Computer Science, IT or related field OR Bachelor’s degree and 3 to 5 years of experience in Computer Science, IT or related field OR Diploma and 7 to 9 years of experience in Computer Science, IT or related field Preferred Qualifications: Functional Skills: Must-Have Skills: Proficiency in Python/PySpark development, Fast API, PostgreSQL, Databricks, DevOps Tools, CI/CD, Data Ingestion. Candidates should be able to write clean, efficient, and maintainable code. Knowledge of HTML, CSS, and JavaScript, along with popular front-end frameworks like React or Angular, is required to build interactive and responsive web applications In-depth knowledge of data engineering concepts, ETL processes, and data architecture principles. Solid understanding of cloud computing principles, particularly within the AWS ecosystem Solid understanding of software development methodologies, including Agile and Scrum Experience with version control systems like Git Hands on experience with various cloud services, understand pros and cons of various cloud service in well architected cloud design principles Strong problem solving, analytical skills; Ability to learn quickly; Good communication and interpersonal skills Experienced with API integration, serverless, microservices architecture. Experience in SQL/NOSQL database, vector database for large language models Good-to-Have Skills: Solid understanding of cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes) Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Splunk) Experience with data processing tools like Hadoop, Spark, or similar Soft Skills: Excellent analytical and solving skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

We are looking for a highly skilled Azure Cloud Site Reliability Engineer (SRE) to join our team. The ideal candidate will have a strong background in cloud infrastructure, automation, and operational excellence, with a focus on ensuring the reliability, scalability, and performance of our Azure cloud environments. As an Azure Cloud SRE, you will work closely with development and operations teams to build and maintain resilient systems, implement automation, and monitor the health of our cloud-based services. This role is based in our Hyderabad office and candidate is expected to work in a Hybrid set-up. The Responsibilities Include But Are Not Limited To Cloud Infrastructure Management: Design, deploy, and manage scalable, secure, and resilient infrastructure on Microsoft Azure. Implement infrastructure-as-code (IaC) using tools such as Terraform, ARM templates, or Azure Bicep to automate cloud infrastructure provisioning and management. Optimize cloud resources for cost, performance, and scalability. Reliability and Performance Engineering: Monitor system performance, reliability, and availability metrics across Azure services and identify areas for improvement. Develop and implement strategies to reduce system downtime, improve performance, and manage incidents effectively. Conduct root cause analysis (RCA) for incidents and drive long-term improvements to prevent recurrence. Automation and Tooling: Automate repetitive tasks and processes to improve efficiency and reduce operational overhead. Develop and maintain CI/CD pipelines using Azure DevOps, ensuring seamless code deployment and infrastructure updates. Implement and manage monitoring, alerting, and logging solutions using Azure Monitor, Log Analytics, Application Insights, or other tools. Security and Compliance: Ensure that all cloud environments adhere to security best practices, including identity and access management, encryption, and compliance with regulatory standards. Collaborate with security teams to implement and maintain robust security controls across all cloud resources. Perform regular security audits and vulnerability assessments. Incident Management and Response: Serve as a primary point of contact for cloud-related incidents, ensuring timely resolution and effective communication with stakeholders. Participate in on-call rotations to provide 24/7 support for critical systems and services. Develop runbooks, standard operating procedures (SOPs), and playbooks for incident response and recovery. Collaboration and Continuous Improvement: Work closely with development teams to integrate reliability and performance considerations into the software development lifecycle (SDLC). Foster a culture of continuous improvement by identifying and implementing process enhancements, automation opportunities, and best practices. Mentor and provide guidance to junior engineers on cloud reliability, automation, and best practices. Documentation and Reporting: Maintain comprehensive documentation of cloud infrastructure, configurations, processes, and incident reports. Generate regular reports on system health, performance, and reliability metrics for management and stakeholders. Contribute to knowledge-sharing initiatives and documentation within the team. Requirements Education: Bachelor’s degree in Computer Science, Information Technology, or a related field. A master’s degree is a plus. Experience: 3+ years of experience in cloud infrastructure management, with a focus on Microsoft Azure. Proven experience in site reliability engineering, DevOps, or cloud operations roles. Hands-on experience with infrastructure-as-code (IaC) tools such as Terraform, ARM templates, or Azure Bicep. Strong background in automation, scripting (e.g., Python, PowerShell, Bash), and CI/CD pipelines. Experience with monitoring, alerting, and logging tools in an Azure environment (Azure Monitor, Log Analytics, Application Insights). Technical Skills: Proficiency in managing Azure services, including Virtual Machines, Azure Kubernetes Service (AKS), Azure Functions, Azure SQL, and Azure Storage. Deep understanding of networking, security, and compliance in cloud environments. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). Knowledge of load balancing, failover, and disaster recovery strategies in cloud environments. Certifications: Microsoft Certified: Azure Administrator Associate or Azure Solutions Architect Expert. Additional certifications in DevOps, security, or cloud computing are a plus. Personal Attributes Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Ability to work in a fast-paced environment and manage multiple tasks simultaneously. Commitment to continuous learning and staying up-to-date with the latest cloud technologies and best practices. About Kroll In a world of disruption and increasingly complex business challenges, our professionals bring truth into focus with the Kroll Lens. Our sharp analytical skills, paired with the latest technology, allow us to give our clients clarity—not just answering all areas of business. We value the diverse backgrounds and perspectives that enable us to think globally. As part of One team, One Kroll, you’ll contribute to a supportive and collaborative work environment that empowers you to excel. Kroll is the premier global valuation and corporate finance advisor with expertise in complex valuation, disputes and investigations, M&A, restructuring, and compliance and regulatory consulting. Our professionals balance analytical skills, deep market insight and independence to help our clients make sound decisions. As an organization, we think globally—and encourage our people to do the same. Kroll is committed to equal opportunity and diversity, and recruits people based on merit. In order to be considered for a position, you must formally apply via careers.kroll.com