Top AWS Jobs in Pune

As a Full Stack Developer, design and maintain web applications using JavaScript frameworks, develop APIs, collaborate in Agile teams, and mentor junior staff.

The Data Engineer role involves designing and maintaining ETL pipelines, optimizing data storage solutions, collaborating with teams, and ensuring data accuracy and integrity.

Design, build, and maintain centralized data pipelines, warehouses, lakes and hubs. Assemble complex datasets, implement ETL processes, build analytics tools and reports, support cross-functional teams, ensure secure cross-region data separation, and create product data tools to enable insights on acquisition and operational metrics.

Lead architecture and development of customer-facing AI agents and multi-agent "Super Agents," design agent orchestration and automated workflow frameworks, drive LLM integration and prompt engineering best practices, provide technical leadership across cloud-native backend systems, and mentor senior engineers to productionize AI-driven solutions at scale.

Design, develop, and maintain Oracle EBS R12 customizations, interfaces, and integrations; partner with functional leads to translate requirements; perform tuning and troubleshooting; own end-to-end delivery in Agile teams; conduct code reviews and mentor juniors; use AI tools to accelerate SQL/PLSQL and testing.

Design, build, and maintain scalable Node.js backend services and RESTful APIs. Participate in architecture, code reviews, database schema optimization (Postgres/MongoDB), integrate microservices and third-party APIs, ensure security/performance, write tests, troubleshoot production incidents, and collaborate with cross-functional teams.

Lead design and full‑stack development of CFRA's next‑generation customer web applications using React/TypeScript and Python on AWS. Provide technical leadership, produce design documents, review solutions, mentor teams, implement CI/CD and IaC, resolve production issues, and follow Agile practices.

Lead design and delivery of new mobile banking features using React Native. Set and uplift code quality, architecture and testing standards. Perform code reviews, support CI/CD and automation, own end-to-end quality and performance, and collaborate with product to deliver performant iOS/Android apps.

The Software Development Engineer I will design and implement microservices, improve system performance, and mentor junior engineers. Responsibilities include coding, debugging, and developing features from design to deployment in a remote setting.

Lead and mentor a development team; oversee SDLC from planning to deployment; conduct code reviews; design and implement scalable, secure software; troubleshoot complex issues; collaborate with stakeholders and clients; enforce best practices; promote continuous learning and delivery.

Design, develop, and maintain scalable Python backend applications and APIs. Collaborate with frontend, DevOps, and product teams. Write reusable, testable code, optimize for performance and security, integrate third-party services, implement automated tests, perform debugging and code reviews, and document systems.

Senior API Automation Engineer responsible for designing and maintaining scalable API automation frameworks using Karate and JavaScript, writing BDD Gherkin tests, automating REST API validations, integrating suites into CI/CD, executing regression and integration tests, collaborating with Agile teams, and improving reporting, logging, and reusable utilities.

Work with enterprise customers to design, build, and deploy production-grade AI solutions on the Cogentiq platform. Implement integrations with enterprise systems, develop connectors, backend services, and microservices, ensure scalability, security and observability, troubleshoot deployments, and turn deployment learnings into reusable platform capabilities.

Lead technical architecture for web and mobile platforms, translating requirements into scalable designs. Define solutions for web, app, SSO and e-commerce, produce Architectural Decision Records, run design reviews, assess risks, ensure security and compliance, and advise engineering and product teams on tools and cloud implementations.

Design and evolve enterprise data solutions and data products using Data Mesh and real-time streaming. Own architectural runway, non-functional requirements, CI/CD and DataOps practices, Kubernetes hosting, and ensure built-in quality, security and cross-functional collaboration.

The role involves developing enterprise applications using Java and Spring, integrating AI features, mentoring junior developers, and collaborating with cross-functional teams.

Design, implement, and maintain scalable backend services using Golang or Node.js on AWS. Optimize SQL databases, resolve concurrency and performance issues, contribute to CI/CD, collaborate with frontend teams, and continuously improve system reliability and scalability.

Lead analytics engineering work to design, build, and maintain dbt-based transformation pipelines, governed metrics/semantic layers, and analytics-ready data marts on Snowflake or Databricks. Ensure data quality with automated tests and observability, support product analytics and ML feature datasets, partner with Product/Engineering, mentor junior team members, and participate in on-call rotations.

Customer-facing senior engineer who architects and delivers production-ready big data and AI solutions on Databricks across cloud platforms. Advises customers, builds reusable automation, designs reference architectures, supports migrations, and partners with engineering and support to drive product improvements and adoption.

Lead design, develop, and deliver scalable, secure software using Java/Spring and microservices. Collaborate with product, design, and engineering teams, conduct code reviews, implement unit testing and CI/CD, adopt cloud platforms, mentor team members, manage risk and controls, and drive technical excellence aligned with business goals.

Lead design, development and maintenance of reports, dashboards and automated report generation. Own data engineering, data quality, lineage and governance; build BI platforms, cloud-native services, and drive DataOps, automation and AI-enabled solutions while engaging stakeholders and leading teams.

Design, build, and maintain reliable, scalable infrastructure platforms using automation, CI/CD, and cloud (AWS). Monitor and manage incidents, implement secure configurations, collaborate cross-functionally, and lead or mentor teams to improve operational resilience and deployment processes.

Design, develop, test, and maintain ETL and data quality workflows using Informatica CDQ/IICS. Integrate cloud and on-prem systems, perform data profiling and cleansing, implement quality rules, build monitoring dashboards, troubleshoot production issues, optimize performance, and collaborate with stakeholders to define data quality standards.

Lead the development of scalable web applications, mentor teams, optimize performance, and collaborate on architecture in a hybrid environment.

Design and build core platform components for Lyric's supply chain automation, focusing on Kubernetes operators, IaC systems, and ensuring reliable, scalable infrastructure.