Top AWS Jobs in Pune

Manage uptime across cloud-native and hybrid architectures, build IaC with Terraform and cloud SDKs, create CI/CD pipelines, automate deployments and runbooks, triage incidents, perform on-call incident response, lead postmortems, and improve system reliability and MTTR.

Lead operational ownership of the enterprise Azure Central Kubernetes (AKS) platform, ensuring availability, security, scalability, and lifecycle management. Manage a global Kubernetes platform engineering team, drive automation, GitOps, IaC, incident and capacity management, security/compliance, cost optimization, and executive reporting. Partner with stakeholders and vendors to increase platform adoption, reliability, and operational maturity.

Lead operational management and reliability for enterprise cloud data platforms (Snowflake, Databricks). Own incident/problem/change/capacity management, SLAs/SLOs, automation, disaster recovery, executive reporting, vendor/stakeholder management, and people leadership to ensure secure, scalable, cost-efficient data services supporting analytics and AI/ML.

Lead design, development, and operation of a scalable search platform and data-intensive microservices. Drive reliability, SLAs, monitoring, incident response, code reviews, and mentor engineers while partnering with architects and PMs to deliver search experiences.

Design, build, and deploy scalable data interoperability platform components and APIs. Implement efficient, testable, multi-threaded solutions, support large dataset processing, write SDK/API documentation, monitor performance, and collaborate with internal and external teams to integrate Autodesk products with third-party applications.

Lead the design and architecture of scalable search infrastructure, collaborate with product teams, mentor engineers, and implement best practices.

Lead the development of a core AI-powered platform component at Autodesk, overseeing design, implementation, and collaboration with global teams. Responsible for full engineering cycle and mentoring junior members.

Lead architecture and evolution of a scalable, real-time collaboration platform. Design and deliver event-driven microservices (Java/Node, Spring), leverage AWS, Kafka, Redis, and WebSockets for low-latency, highly available systems. Own end-to-end platform capabilities, drive cross-team initiatives, mentor engineers, manage production incidents, and improve observability and operational excellence.

Manage L2 production incidents across AWS and on-prem, perform RCA, drive permanent fixes, automate repetitive tasks with scripting, improve monitoring and observability, maintain runbooks, support Linux/Windows servers, and participate in 24x7 on-call rotations to improve uptime and reduce MTTR.

Design, implement, and deploy production machine learning models in a Python-based cloud architecture; build APIs and data-facing capabilities; deliver high-quality, testable code (CI/CD); visualize and publish insights; work in an agile team and manage stakeholder expectations while promoting data-driven culture.

Build and maintain data pipelines, data warehouses and data lakes; ensure data accuracy, accessibility and security; develop processing and analysis algorithms; collaborate with data scientists to deploy ML models; lead or coach teams and influence stakeholders on risk, controls and policy.

Provide SRE-level production support to ensure availability, performance, and scalability of applications. Respond to incidents, perform root cause analysis, automate operational tasks, monitor and tune systems, collaborate with development teams, and contribute to resilience and capacity planning. Work in shifts with follow-the-sun coverage and support major incident management.

Lead full lifecycle design, implementation, and optimization of 4G/5G mobile solutions. Act as primary technical lead for engagements, perform advanced troubleshooting and lab simulations, produce HLD/LLD and implementation plans, and collaborate with cross-functional teams to drive customer outcomes and adoption. Mentor engineers and leverage automation, cloud-native tooling, and AI/ML to improve delivery.

Design, develop, test, deploy, and operate scalable backend-to-UI applications. Work in agile teams on microservices, serverless, CI/CD, and cloud platforms; troubleshoot performance and integrate with internal systems.

Lead design, build, and run secure, scalable backend services and APIs (Python/Django/FastAPI). Automate network infrastructure and provisioning, improve reliability via observability and automation, lead system design, mentor engineers, enforce CI/CD, security, and AI-assisted development best practices, and partner across teams for vendor evaluation.

Lead development and delivery of production agentic/autonomous AI components, integrating LLMs and agentic frameworks into business platforms. Build, test, containerize, and deploy cloud-native solutions using IaC and DevOps practices; document designs, ensure code quality and compliance, own workstreams, and manage a team of senior engineers across global locations.

Lead and mentor data engineering teams on a Data Mesh platform; oversee product delivery and modernization of AI/BI and agentic analytics. Drive agile, lean change projects, hands-on with serverless, containers, Databricks, CI/CD, testing tools, GitHub, and AWS. Recruit, evaluate, and develop cross-functional teams.

Design, develop and deliver scalable, maintainable software and developer tooling. Build automated ingestion and packaging pipelines, create Docker images and manage Docker Desktop, SCCM packages and Visual Studio delivery. Collaborate across functions, apply secure coding and unit testing, and coach or lead team members to drive technical excellence.

The role involves designing, developing, and improving software solutions, ensuring high quality, scalability, and performance, while collaborating with cross-functional teams and adhering to secure coding practices.

Design, build and maintain scalable ETL/data pipelines, data warehouses and lakes. Implement processing and analysis algorithms, ensure data accuracy/security, collaborate with data scientists to deploy ML models, and lead or advise teams while partnering with stakeholders to manage risk and continuous improvement.

Design, develop and deliver scalable full-stack microservices using Java Spring Boot and frontend frameworks (Angular/React). Implement CI/CD with GitLab, containerize with Docker/Kubernetes/OpenShift, deploy on AWS, integrate APIs, apply secure coding, and write unit/integration tests. Collaborate across product, design, and engineering, lead or advise teams, and drive DevOps and cloud-native practices.

Design, build, and maintain data pipelines, warehouses and lakes; ensure data accuracy, security and scalability; develop processing and analysis algorithms; support ML model deployment; lead or coach team members and influence cross-functional decisions while managing risk and controls.

Design, develop and deliver scalable, secure container-based software solutions. Collaborate with product, design and engineering teams, write tests, participate in code reviews, and use cloud-native tools (Kubernetes, Docker) to support observability, integrations and platform reliability.

Design, develop, and deliver scalable, secure software. Collaborate with product, design, and engineering peers; follow CI/CD and secure coding practices; support enterprise BI platforms; automate deployments; implement unit tests and monitor operations.

Design, implement, and operate scalable monitoring and observability platforms for hybrid cloud clients. Build alerting, anomaly detection, SLO-based thresholds, and automated telemetry collection. Lead incident escalation, define monitoring best practices, automate configurations with IaC, and align observability roadmap with business and client needs.