Top AWS Jobs in Pune

Design and deliver intelligent platforms, automation solutions, and AI-driven capabilities. Analyze complex production systems, identify failure modes, and improve reliability, efficiency, productivity, and mean time to recovery through AI, automation, operational intelligence, and modern engineering practices. Build scalable cloud-native solutions using Kubernetes, APIs, MLOps, generative AI, and workflow orchestration while mentoring teammates and driving continuous improvement.

Lead a scrum team to deliver full‑lifecycle web applications across backend, frontend, and data layers. Hands‑on development in PHP, Lucee, and React; enforce architecture standards, testing, CI/CD, code reviews, and mentor engineers while coordinating with product and stakeholders.

Develop Python applications, APIs, automation tools, and platform capabilities while supporting CI/CD, Docker, Kubernetes, cloud and on-premise deployments. Implement observability, monitoring, alerting, and SRE practices including SLIs, SLOs, error budgets, incident response, disaster recovery, and root cause analysis. Troubleshoot production systems, automate recurring operational work, maintain documentation, and collaborate across engineering, security, platform, product, operations, and external teams.

Design, build, and deploy responsive full-stack web applications. Collaborate with stakeholders to translate requirements, implement secure scalable backends and user-friendly frontends, integrate third-party APIs, participate in code reviews, support deployments, and maintain applications with focus on performance, security, and Gen AI integration.

Lead end-to-end AI solutions for clients, manage project delivery and people, partner with sales for business development, collaborate with engineering/MLOps/DevOps, ensure data quality, model training, tuning, deployment, monitoring, and provide executive updates on status and risks.

The Snowflake Solutions Architect designs and implements scalable data solutions on Snowflake, collaborates with engineering teams, optimizes performance, ensures data governance, and engages stakeholders to drive architectural decisions.

Provide L3 support and platform engineering for the Domino Data Lab platform. Troubleshoot production incidents involving workspaces, models, jobs, connectivity, access, and performance; conduct root-cause analysis and implement permanent fixes. Manage upgrades, patching, monitoring, tuning, and reliability for enterprise data science and AI/ML workloads. Support Python and R environments, ML workflows, Kubernetes, Docker, AWS, SageMaker, and Azure Machine Learning integrations in regulated or life sciences environments.

Join a small team to improve a tech product aimed at upskilling users in MENA, working with JavaScript and Node.js in a collaborative remote environment.

Design, build, and operate secure, highly available AWS infrastructure using Terraform and CI/CD. Automate provisioning, scaling, monitoring, incident response, security, and cost optimization for high-traffic systems.

Design, develop, and deploy enterprise AI/ML solutions including GenAI, LLM-based RAG systems, and agentic AI. Build scalable models, integrations, monitoring, and reusable frameworks while collaborating with stakeholders for production adoption and continuous improvement.

Install, configure, upgrade, and maintain Windows Server applications across SIT/UAT/PROD/DR. Manage Microsoft SQL Server (DB/user management, tuning, scripts), IIS deployments, MSMQ and integration components. Handle service accounts, Active Directory, firewall rules, SFTP connectivity. Produce installation guides, migration runbooks, and technical documentation. Troubleshoot performance and connectivity issues and communicate with clients.

Design, implement, and maintain Adobe Experience Platform solutions including XDM schemas, data ingestion pipelines, identity resolution, RT-CDP and Journey Optimizer integrations to enable segmentation, personalization, audience activation, and platform governance.

We are looking for a Full Stack Developer with 5+ years of experience in high-quality code, proficient in MERN, Python, and cloud services, to optimize scalable APIs and enhance development speed using AI tools.

Build and operate backend services and infrastructure for LLM- and voice-driven healthcare applications. Implement APIs, productionize LLM workflows, deploy cloud containerized services, and monitor performance and reliability end-to-end.

Designs, builds, and optimizes machine learning models and infrastructure, develops production-grade ML services and data pipelines, conducts research and evaluation, implements LLM fine-tuning and RAG solutions, and partners cross-functionally to translate business requirements into deployable ML deliverables.

Build and maintain Python backend services and internal tools for AI/LLM applications. Integrate LLM APIs, design scalable REST APIs and async workflows, handle prompt management and model routing, monitor performance, debug distributed systems, automate data workflows, and collaborate to productionize AI features with emphasis on scalability, reliability, and safety.

The Node JS Developer will enhance integrations, improve reliability, expand capabilities, and contribute to open-source innovations while ensuring high-quality Node applications.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

Lead the development of a data platform using Apache technologies, optimize distributed data systems, and contribute to the open-source community by driving project direction and enhancing functionality.

Lead backend architecture and build scalable, high-concurrency services and APIs (Node.js) powering web and mobile. Own components end-to-end, manage CI/CD and infrastructure (IaC, containers, cloud), improve reliability, and collaborate with PM/design to deliver core features like live interactions and checkout.

The Edge Functions Engineer will evolve the Supabase Edge Runtime, implement monitoring and optimizations, manage features, and work closely with the Deno open-source teams.

Lead enterprise AI strategy and roadmap; build and scale cross-functional AI/ML teams; architect and deliver LLM, RAG, predictive and data-heavy AI products; establish MLOps, governance, cloud-native platforms (Azure/Databricks/AWS/GCP); drive product lifecycle, KPI tracking, security, and responsible AI practices.

Lead evaluation and maturation of disaster recovery posture, define DR standards, design multi-region and active-active architectures, drive DR roadmap, implement testing (game days/chaos), produce runbooks, recommend platform/tooling, and advise engineering/security teams on resilience and compliance.

Lead and evolve SRE best practices, observability, and incident response. Design and automate cloud infrastructure, Kubernetes platforms, and IaC. Mentor engineers, drive large platform initiatives, reduce operational toil, and improve reliability, scalability, performance, and security across services.

Lead Java Engineer responsible for designing and building greenfield applications using modern Java (17/21/25) and Spring Boot ecosystem (Data JPA, Web, Batch). Apply Clean/Hexagonal/CQRS patterns, optimize performance, and work with CI/CD (Jenkins/Azure Pipelines/GitHub Actions). Familiarity with Kubernetes, load balancing, and cloud platforms (Azure/AWS) for deployments.