Top AWS Jobs in Pune

The Staff Detection Engineer will develop advanced detection rules and pipelines for threat hunting, leveraging big data tools. Responsibilities include maintaining detection systems, writing detections, and collaborating in a dynamic environment.

Collaborate with teams to gather technical requirements, design features, write production-ready code, and manage ML lifecycle in a consulting environment.

Manage and deliver technology solutions while mentoring team members and applying advanced analytics to drive client decisions and project outcomes.

Design and implement secure multicloud (especially Azure) architectures, define security standards, lead threat modeling and risk assessments, automate cloud security (IaC/CI-CD), integrate AI/ML for detection and automation, mentor engineers, and partner with cross-functional teams to ensure secure AI model lifecycle and cloud operations.

As a Cloud Database Administrator, you will manage and troubleshoot data warehouse databases on AWS, ensuring efficient operation and security. You will support both production and non-production environments, perform core DBA tasks, and monitor database performance.

Develop solutions for clients using ETL and cloud technologies; manage project activities; collaborate with teams and rapidly address client challenges.

Lead design and implementation of enterprise middleware (WebSphere, Tomcat, MuleSoft), manage deployments, HA/DR, security, performance tuning, automation, cloud/hybrid integrations, and mentor teams while improving operational efficiency.

The role involves administering Tableau and Power BI applications, managing infrastructure, troubleshooting issues, and developing best practices for enterprise solutions.

As a Senior Cloud FinOps Engineer Specialist, you'll manage multi-cloud financial governance, optimizing a $5M+ budget, leading a team, and collaborating with engineering and finance to ensure cost accountability and efficiency.

The Enterprise Architect will design R&D IT solutions, enhance analytics platforms, ensure regulatory compliance, and mentor teams while collaborating with multiple stakeholders.

The Senior Software Engineer - Data Engineer will lead project phases, design technical solutions, manage team efforts, and collaborate globally while driving innovative data solutions.

Designs, develops, and debugs software for diverse products, ensuring quality through testing and tracking progress in collaboration with stakeholders.

Design, develop, and maintain automated test workflows and scripts (Python/Java/C#) using tools such as TOSCA, Selenium, and Jenkins. Integrate automation with existing systems, build and execute test plans, monitor and troubleshoot automation, maintain documentation, and collaborate with development teams. Support cloud-based automation and DevOps practices, improve processes, and report outcomes to stakeholders.

Design, develop, and maintain automated test workflows and scripts (Python/Java/C#) using TOSCA, Selenium, and Jenkins. Integrate automation with systems, execute test plans, identify and fix bugs, monitor automation, document processes, and drive improvements. Collaborate with development teams, use cloud platforms and DevOps practices, and work with test management tools (ALM Octane, QC, JIRA).

Design, implement, and productionize scalable ML/GenAI solutions. Collaborate with cross-functional and client teams on architecture, write production-ready code and tests, run POCs, lead complex feature implementations, perform debugging and code reviews, mentor engineers, and author R&D content/technical documentation for content/authoring workflows.

Design, implement, and support Adobe Experience Cloud solutions (AEP, AJO, ACC) to enable personalized, data-driven campaigns. Build and manage campaign workflows, XDM schemas, identity stitching, real-time CDP functionality, APIs/microservices and ETL pipelines. Monitor campaign performance, troubleshoot delivery issues, maintain QA/UAT/deployments, implement Adobe Web SDK, ensure data governance/privacy compliance, and document integrations.

The Java Microservices Developer role requires designing and developing backend solutions using Java and Spring Boot, with knowledge of microservices, Kafka, and cloud platforms to meet business needs.

Develop complex solutions using various technologies, manage projects through all lifecycle phases, and collaborate with teams to drive results. Emphasizes consulting mindset, client-first approach, and effective communication skills.

As a Data Engineer, you will build and scale the data platform, manage data pipelines, and ensure reliable data access across the organization.

Design, develop, and maintain automated test workflows using TOSCA and related tools. Write and debug automation scripts (Python/Java/C#), integrate solutions with systems, execute test plans, monitor automation performance, document processes, collaborate with development teams, and drive process improvements using cloud and DevOps practices.

As an Enterprise Architect, you will define enterprise data architecture, lead cloud platform modernization, establish governance frameworks, and integrate AI-driven solutions while mentoring global teams.

The Engineering Lead will design and implement technical features, work on ML pipelines, and mentor engineers while ensuring high-quality deliverables. This role requires collaborating with teams and managing the ML lifecycle for business value.

Lead and deliver full-stack .NET web projects, write and maintain code (.NET Core, C#), integrate cloud and web technologies, drive technical decisions, ensure unit testing and CI, collaborate with stakeholders and overseas teams.

Design scalable, high-performance systems using Java, Spring Boot, and Kafka. Engage with clients to fulfill business needs and lead development teams in Agile environments.

The Senior Software Engineer will develop high-quality software solutions, lead code reviews, mentor junior developers, and collaborate with project stakeholders to meet client needs.