Top AWS Jobs in Pune

Design, implement, and optimize CI/CD build, test, and deployment pipelines for C++/Python products across Windows and RHEL. Migrate on-prem CI to cloud, standardize tooling, improve developer experience, and extend continuous delivery to customer environments while collaborating with DevOps and development teams.

Design, implement, and manage scalable AWS infrastructure; lead migrations and modernization; build CI/CD pipelines and IaC; deploy containers with Kubernetes/Docker; apply Well-Architected principles; mentor junior engineers and drive DevOps best practices.

Senior Solutions Engineer (Mumbai) drives technical pre-sales engagements: mapping customer challenges to Couchbase solutions, running demos/workshops/PoCs, advising on architecture and performance, collaborating with sales, product and engineering, and producing technical collateral and best practices.

Design, develop, test, and maintain scalable full‑stack healthcare applications using .NET, modern frontend frameworks, GraphQL, serverless cloud (AWS/Azure) and microservices. Ensure HIPAA compliance, integrate rules engines, optimize search with OpenSearch, mentor junior engineers, and stay current with healthcare and technology trends.

As a Forward Deployed Engineer, drive customer success through AI deployments, optimize systems for reliability, and collaborate with teams to enhance products.

Build and maintain customer-facing production software across the full stack. Partner with senior engineers to design, deploy, and iterate scalable solutions using React, TypeScript, relational databases, and cloud platforms. Improve reliability, performance, and maintainability while collaborating with Research, Product, and Operations teams on customer deployments.

Build and scale the Reinforcement Learning Environments platform: design backend services and data pipelines, create modular simulation domains, improve reliability and observability, partner with US research and product teams, and ship high-quality maintainable code to support model training and evaluation.

Lead end-to-end customer deployments with frontier AI labs: gather requirements, design and build production-grade, scalable systems across stack, partner with cross-functional teams, mentor engineers, and create reusable tools and deployment patterns to improve model and customer outcomes.

Lead design and scaling of Reinforcement Learning Environments (RLE) and data pipelines, partnering with research, product, and ops to build reliable, observable, production systems that generate high-quality training and evaluation data.

Lead the design, architecture, and modernization of a global Azure-based cloud platform. Own IaC, CI/CD, observability, reliability, cost optimization (FinOps), and mentor engineers while partnering with product, security, and leadership to ensure scalable, secure, highly available SaaS infrastructure.

Lead full-stack developer building React front-ends and Python/PySpark backends, integrating Databricks, implementing REST APIs, and deploying via Bitbucket to AWS/Azure. Ensure performance, scalability, code quality, and support cloud deployments and maintenance.

Senior customer-facing Solutions Architect leading pre-sales discovery, design, and technical win strategy for networking, cybersecurity, SASE, Zero Trust, cloud, and managed services. Owns solution designs, BOMs, SOWs, executive briefings, and recurrent managed services business cases while mentoring junior staff and partnering with vendors to drive revenue and client retention.

Lead architecture strategy for enterprise-scale, cloud-native healthcare platforms. Design scalable microservices, APIs, event-driven integrations, and drive cloud migration, platform modernization, security/compliance (HIPAA/PHI/PII), observability, resiliency, and engineering best practices while mentoring senior engineers and governing design decisions.

Design, build, and maintain batch and real-time ETL/ELT data pipelines and workflows. Automate ingestion, aggregation and logging; ensure data accuracy, security, and compliance. Implement data warehouse and lake solutions, mentor junior engineers, and collaborate with stakeholders to meet business requirements.

Design, build, and maintain cloud-native, API-first full-stack features for Mayhem using Python/Flask and TypeScript/React. Build integrations with customer systems and security tools, improve engineering tools for triage and vulnerability workflows, ensure API standards, accessibility, stability, and performance, and collaborate on design system implementation.

Design, develop, and maintain scalable backend services; implement secure APIs; optimize system performance and reliability; collaborate with cross-functional teams.

The Application Support Engineer will ensure application reliability and performance, provide technical support, monitor issues, manage upgrades, and collaborate with teams and vendors.

Design and deploy production AI systems that integrate backend services, build reusable ML infrastructure, optimize AI systems, and mentor engineers on best practices.

As an Infrastructure Engineer, you will build and optimize storage and offloading infrastructure for multimodal robotics data, focusing on data movement, AWS optimization, and reliability across global operations.

Provide technical pre-sales support for servers, storage, backup, and cloud solutions, while engaging with clients to gather requirements and offer effective solutions.

The Fullstack Developer will support a web portal project, primarily using Java and Angular for development and maintenance tasks.

The Automation Tester will design, maintain, and troubleshoot automated test scripts using Selenium and API testing tools. Responsibilities include developing automation frameworks, collaborating on CI/CD processes, and guiding team members while ensuring the incorporation of new technologies and best practices.

The Partner AI Deployment Engineer will guide AWS engagements, shape technical strategy, build AI architectures, and mentor partners to drive successful AI deployments.

As a hands-on data engineer, you'll build and enhance scalable data platforms, develop data pipelines, and collaborate with various teams to improve data solutions and system performance.

The Partner Sales Manager will build and manage partner relations in India, driving sales through partnerships, and executing on joint go-to-market strategies and marketing initiatives.