Top AWS Jobs in Pune

The role involves supporting GSI partners by developing and executing technical strategies for cloud security using AWS, Azure, and GCP. As a trusted advisor, you'll provide training, deliver solutions to partners, and communicate effectively to enhance partner relationships.

Lead design and delivery of enterprise RPA and intelligent automation solutions. Own architecture, tool selection (UiPath, Power Automate, Blue Prism), integrations with ERPs and cloud, non-functional requirements, orchestration, CI/CD, and governance. Mentor developers and collaborate with stakeholders through discovery to production.

The Technical Support Engineer II will troubleshoot complex customer issues, mentor junior engineers, and collaborate across teams to enhance customer satisfaction and product quality.

The Postgres DBA will provide architectural guidance, technical support, and troubleshooting for PostgreSQL environments, ensuring customer satisfaction and operational efficiency across deployments.

Provide technical support and troubleshooting for enterprise OpenStack and Kubernetes environments, manage escalations via portal/video, maintain documentation, train customers, and contribute to automation and process improvements while meeting SLAs.

Design and build enterprise-scale platform services and the AI-ready context store. Solve multi-tenant isolation and scaling, own lakehouse, vector and graph infrastructure, define data contracts and standards, drive multi-quarter initiatives, mentor senior engineers, and debug distributed systems across Kubernetes and microservices.

Lead design and governance of PUMA's integration fabric and API platform across DTC engineering. Own API gateway strategy (Apigee), GraphQL architecture, event-driven patterns, observability, security, and developer enablement. Drive API governance, integration testing standards, AI-native integration patterns, and mentor senior engineers while influencing cross-organization architecture and vendor integrations to ensure resilient, performant commerce integrations.

Lead data engineering initiatives to build ingestion, integration, and common data models; enable data products and governance across domains; design scalable cloud-based data architectures and ML pipelines; collaborate with business and tech teams to deliver data products, ensure data quality, and drive adoption.

Lead and execute end-to-end IT internal audit engagements focused on cloud, cybersecurity, data platforms, and AI systems. Develop risk-based audit programs, assess controls, perform control testing and remediation validation, evaluate incident response and data protection, prepare AI/ML governance use cases, and produce clear audit reports with risk-based recommendations.

Lead the SRE Center of Excellence at GoDaddy, guiding teams to improve cloud operations, reliability, and developer experience while managing global engineering collaborations.

Design, build, and productionize end-to-end cloud data solutions and pipelines. Translate business needs into technical architectures, ensure performance, security, scalability, and reliability in production. Deliver client engagements on time, produce technical documentation and runbooks, present solutions to stakeholders, mentor peers, and contribute reusable assets and best practices across the firm.

Develop and support secure IoT software applications, APIs, and UIs; build dashboards, ETL/data workflows, and analytics; enable ML/AI capabilities; maintain and modernize legacy code hosted on AWS.

Senior hands-on cloud technologist who owns Amtech's AWS platform architecture, multi-account landing zone, IaC golden-path, and migration from private cloud. Author high-leverage Terraform modules, set CI/CD and observability standards, ensure security/compliance (SOC 2, ISO 27001), enable AI-assisted workflows, mentor senior engineers, and act as primary technical liaison to AWS and partners.

The Senior DevOps Engineer will join a team focused on providing cost-effective coverage solutions, ensuring seamless operations on AWS with strong CI/CD practices.

As a Data Engineer, you will develop and maintain data pipelines and ETL processes, manage data integrations, and optimize data storage to support analytics and reporting for the rental housing industry.

Design and develop scalable microservice-based backend systems using Java, collaborate with teams, maintain RESTful APIs, and ensure system performance.

Install, configure, patch, upgrade, and maintain PeopleSoft environments across Dev/QA/UAT/Prod. Monitor system health and performance, tune application/web/db servers, manage Process Scheduler and batch jobs, troubleshoot issues, support DR drills and failover, and maintain operational documentation while collaborating with DBAs, middleware, and infrastructure teams.

Lead architecture and delivery of enterprise-scale full‑stack features, own end-to-end implementation, mentor engineers, collaborate with product and design, triage production issues, and improve system reliability, performance, and observability.

As an Engineering Manager, you will lead a team of engineers, ensuring high software quality and timely project delivery while fostering collaboration and innovation.

This role involves collaborating on frontend development using JavaScript and React.js, ensuring best practices, participating in code reviews, and building services within an agile team.

Design, develop, and deploy ML/AI solutions (Computer Vision, NLP, Recommendation Systems). Build and optimize models, implement scalable data pipelines and ML workflows on cloud platforms, collaborate with cross-functional teams, translate business needs into algorithms, ensure secure and performance‑optimized code, and document solutions for stakeholders.

Design, develop, test, and maintain configurable web applications using C#/.NET and ReactJS. Build and integrate RESTful APIs, optimize performance and scalability, implement multi-threading and security practices, work with relational databases, write automated tests, deploy to Azure/DevOps, and collaborate with product owners and QA in an agile team.

Design, implement, and manage multi-cloud CI/CD pipelines and automation. Use IaC (ARM templates/Terraform) to provision Azure resources, maintain build agents and release pipelines, manage Git repos in Azure DevOps, integrate automated testing, implement monitoring, logging, and security best practices, and collaborate with teams to resolve vulnerabilities.

Lead NLP and generative AI solutions end-to-end: build intent/entity extraction, classification, summarization, search, and chatbot systems. Design, fine-tune, and evaluate LLMs and traditional NLP models, implement production-ready pipelines, collaborate cross-functionally, and drive client-facing consulting engagements in financial services.

The Data Engineer will design and build data pipelines, perform data analysis, and create visual reports, while collaborating cross-functionally to drive operational improvements. Responsibilities include implementing data transformation/storage solutions and overseeing data governance.