Top AWS Jobs in Pune

Designs, governs, and delivers enterprise infrastructure across operating systems, databases, storage, virtualization, middleware, and cloud platforms. Responsibilities include capacity planning, performance optimization, automation, incident management, security, disaster recovery, cloud migration, infrastructure modernization, and technical governance. The role coordinates with application, operations, cloud, and service provider teams; develops reporting dashboards; ensures regulatory and control compliance; and provides technical leadership and stakeholder guidance.

The GCP Product Manager will guide product development, align strategies with business goals, ensure compliance with regulations, and leverage analytics for decision-making.

Leads technical onboarding, enablement, and co-selling support for contact center partners. Designs scalable Zendesk, Amazon Connect, and AWS architectures; provides technical strategy, mentorship, solution guidance, demonstrations, proofs of concept, and implementation support. Develops partner training materials, ensures security and governance compliance, and promotes AI, machine learning, automation, and omnichannel contact center innovations. Collaborates with sales, engineering, vendors, and internal teams to drive partner success and accelerate solution deployment.

Own ambiguous product problems end to end, from defining user flows and API contracts through frontend implementation, backend collaboration, testing, and production delivery. Review Haskell and React code, maintain performance, accessibility, SEO, and product quality standards, and use AI tools for prototyping, implementation, refactoring, debugging, and technical exploration. Work across product, UX, frontend, backend architecture, and AWS infrastructure in a remote-first environment.

Designs, operates, and improves scalable cloud infrastructure across GCP and AWS. Builds Terraform-based infrastructure, GitHub Actions CI/CD pipelines, observability, automation, and AI-enabled monitoring and remediation. Manages MySQL and SQL Server databases, Cloudflare services, security controls, repository governance, and incident response. Supports reliability, performance, cost optimization, compliance, and cloud modernization while providing 24/7 on-call coverage and mentoring junior engineers.

Develop and maintain scalable full-stack web applications across backend, frontend, databases, APIs, and cloud platforms. Responsibilities include designing applications, building services and responsive interfaces, optimizing SQL and NoSQL databases, integrating third-party services, troubleshooting production issues, writing secure maintainable code, and participating in testing, code reviews, and deployment. The role requires analytical problem-solving, understanding business requirements, effective communication, and adaptability across technology stacks.

Architect and build production-grade generative AI and agentic AI applications, including LLM workflows, multi-agent systems, RAG pipelines, APIs, and ML/GenAI infrastructure. Develop and optimize models, manage deployment and monitoring, apply responsible AI practices, and collaborate directly with customers. The role also involves mentoring engineers and shaping AI platform strategy.

Architects and builds scalable generative and agentic AI products from prototype through production. Designs LLM workflows, prompts, multi-agent systems, RAG pipelines, and APIs using LangChain and LangGraph. Owns ML and GenAI pipelines, including training, deployment, monitoring, and lifecycle management. Works directly with customers and cross-functional teams, promotes responsible AI, mentors engineers, and shapes AI platform strategy.

Designs and governs Salesforce integration architecture across ERP, middleware, third-party applications, and enterprise systems. Defines integration patterns, API management, authentication, security, monitoring, error handling, and performance standards. Produces architecture documentation, guides API governance, collaborates with enterprise architects, and troubleshoots production issues. Requires extensive enterprise integration and Salesforce experience, strong knowledge of Salesforce APIs, middleware, event-driven architecture, microservices, and authentication protocols.

Own the production lifecycle for traditional ML and generative AI systems, including deployment pipelines, model registries, monitoring, retraining, governance, and incident response. Build reliable AWS-based infrastructure for LLM and agentic applications, establish observability and cost controls, and create operational standards, runbooks, and documentation. Partner with U.S.-based Data Science, Data Engineering, and Product teams while independently managing production workloads during India operating hours.

Design, build, test, and deploy production-grade agentic AI systems using Python, LangGraph, LangChain, AWS Bedrock, and orchestration tools. Integrate AI agents with APIs and business systems, implement memory and retrieval, establish observability and safeguards, and develop reusable SDKs and templates. Collaborate directly with clients to define requirements, run experiments, and rapidly deliver reliable AI solutions using modern software engineering, cloud deployment, and CI/CD practices.

Designs and maintains a centralized AI platform and agentic framework for secure enterprise deployment and access. Builds scalable AI agents, unified APIs, distributed systems, and microservices; integrates agents into customer and internal applications; optimizes cloud-native workloads; ensures security and regulatory compliance; and leads technical strategy, mentoring, performance analysis, and capacity planning.

Lead backend engineering for a centralized AI platform, designing scalable REST APIs and Python services for agent lifecycle management, deployment, monitoring, authentication, authorization, and asynchronous workflows. Develop data layers and database schemas, contribute to distributed architecture and SDK design, and ensure reliability through testing, CI/CD, and security practices. Mentor engineers, guide technical decisions, and work with modern agentic AI frameworks.

Design, build, operate, and scale reliable cloud-native infrastructure for partner organizations. Manage Kubernetes clusters, CI/CD pipelines, observability platforms, infrastructure as code, and production incident response. Implement SRE practices including SLIs and SLOs, automate operational workflows using Go or Python, support 24/7 on-call coverage, and explore AI, AIOps, and GPU infrastructure. Contribute to technical documentation, presentations, and open-source projects.

Leads engineering teams delivering software solutions for Barclays’ multi-year SOLD Simplification initiative. Responsibilities include technical direction, COBOL development, platform modernization, delivery planning, roadmap management, stakeholder coordination, risk management, process improvement, mentoring, performance reviews, testing, and technology standards enforcement. The role requires Tandem and mainframe expertise, accounting knowledge, legacy-platform migration experience, DevOps exposure, and strong communication skills.

Leads engineering for ERP data management, high-volume email processing, backend APIs, distributed systems, and service architecture. Owns reliability, scalability, security, observability, and iterative platform improvements for 24/7 systems. Acts as a liaison between engineering and business teams, mentors engineers, and collaborates across global teams in India, China, Singapore, and the United States. The role is fully remote from India and requires flexibility for global operations.

Design, develop, maintain, and deploy .NET-based web solutions across the full software lifecycle. Provide technical leadership, mentor junior engineers, collaborate with cross-functional and international teams, and drive continuous improvement of development practices.

Lead AI Engineer building production-grade backend microservices, API integrations, cloud-native services, and AI-native features. Responsibilities include GenAI and agentic workflow integration, code reviews, testing, troubleshooting, cloud deployment, intelligent automation, client technical consulting, solution design, pre-sales support, mentoring, and AI engineering framework development.

Designs, develops, and maintains automated testing frameworks and processes. Executes automated test cases, analyzes results, troubleshoots scripts, and reports findings. Collaborates with cross-functional and distributed teams, contributes to technical solutions, and supports Agile SDLC and STLC practices. Requires strong Java, Selenium, Cucumber, Serenity, API automation, CI/CD, and debugging skills, with preferred experience in AWS, Docker, EKS, databases, Kafka, Spring, and REST services.

Build governed Databricks Lakehouse foundations and productionize machine learning and GenAI solutions, including forecasting, anomaly detection, NLP, RAG, and predictive analytics. Develop reliable batch and streaming workflows, CI/CD, monitoring, governance, security, lineage, and semantic models. Collaborate with product, data, platform, and domain teams to deliver measurable customer value while meeting reliability, compliance, cost, and operational objectives.

Supports sales teams and partners with technical cloud security sales activities, including solution integration, product demonstrations, evaluations, RFP responses, architecture discussions, and enablement training. Advises technical and executive audiences on Varonis cloud products, security analytics, and threat detection. Requires customer-facing communication skills, cloud platform expertise, and familiarity with SaaS administration and security technologies.

Lead architecture and delivery of a composable, API-first Core Commerce Platform powering checkout, payments, OMS, inventory availability, loyalty, and post-order experiences. Drive integration of packaged solutions (SFCC, Fluent Commerce), payments, social and agentic commerce, and AI-native capabilities. Own SLAs, reliability, security (PCI-DSS), roadmap, and engineering standards while building and leading high-performing, on-site platform teams.

Own application security across mobile apps, APIs, microservices, cloud infrastructure, AI products, and third-party integrations. Responsibilities include threat modeling, architecture reviews, penetration testing, secure coding, vulnerability management, incident response, SSDLC onboarding, CI/CD security tool integration, cloud hardening, developer training, and communicating risk. The role also assesses AI and LLM security risks and develops production guardrails and automation.

Develop and maintain manual and automated tests for software and hardware, analyze CI test results, manage integration environments and test data, document defects, and collaborate with development teams. The role involves Python or JavaScript test automation, Jenkins-based CI integration, code reviews, AWS and VMware environments, Linux, and investigation of new testing tools and frameworks.

Own Plane’s infrastructure and operational architecture across cloud, multi-cloud, self-hosted, sovereign, and air-gapped environments. Lead Kubernetes, GitOps, CI/CD, security, observability, incident response, disaster recovery, database operations, compliance, cost optimization, and reliability. Build automated deployments and support secure AI workload infrastructure, including open-weight models. Partner across engineering teams to improve deployment speed, operational resilience, and developer experience.