Top AWS Jobs in Pune

Design, build, and maintain fullstack web systems with Zoom Apps integration. Implement scalable front-end and back-end components, APIs, and cloud-hosted services while optimizing performance and collaborating with product and research teams in a fast-paced health-tech startup.

Senior SAP Basis specialist responsible for installing, configuring, and maintaining SAP landscapes (ECC, S/4HANA, BW, PI/PO), leading cloud migrations (AWS/Azure/GCP/private), implementing RISE with SAP S/4HANA, managing HANA/Oracle/SQL Server databases, performing monitoring and performance tuning, administering SAP BTP and Solution Manager 7.2, and providing technical leadership and issue resolution across migration projects.

Lead and develop modern UI SaaS applications using AngularJS/React/TypeScript/Node.js, enforce security best practices, optimize UI performance, work with Kibana/ELK for logging, participate in Agile ceremonies, mentor developers, conduct code reviews, and contribute to architecture and CI/CD processes.

Design, develop and improve software using various methodologies, ensure code quality, collaborate across teams, and adhere to secure coding practices.

Lead and manage AI platform engineering teams to design, build, and maintain scalable, secure AWS-based ML/GenAI infrastructure and deployment pipelines. Drive technical strategy, mentor engineers, enforce standards, collaborate with stakeholders on architecture, governance, and product outcomes, and deliver reliable self-service platform capabilities.

Operate and administer cloud infrastructure (Google Cloud, AWS), automate tasks with Python/Scala, manage containers (Kubernetes/Docker), design/maintain IaC, troubleshoot systems and networks, perform root-cause analysis, improve resiliency, document processes, advise clients, and participate in on-call rotations.

Design, build, and maintain scalable ETL pipelines and data models for analytics and ML. Ensure data quality, optimize performance, enforce governance and security, and collaborate with stakeholders to deliver reliable, production-ready data for reporting and data science.

Lead design, development, and deployment of production-ready ML/AI systems using Python, PyTorch, LLMs and related tools. Drive model research, tuning, monitoring, cross-functional integration, and mentor junior engineers while prioritizing practical business impact.

Collaborate with development and QA to implement DevOps best practices: containerization (Docker), IaC, and CI/CD pipelines. Assist managing scalable cloud-native infrastructure (pref. AWS), enhance monitoring/logging, automate deployments, and improve release velocity through scripting and configuration management.

Design, build and maintain data pipelines, warehouses and lakes; implement processing and analysis algorithms; collaborate with data scientists to deploy ML models; lead or support team delivery while ensuring security, controls and continuous improvement.

Design, build, and scale scalable Python-based backend services. Lead technical design, implement CI/CD, containerized deployments to OpenShift/Kubernetes and public clouds, integrate automated testing and observability, perform root-cause analysis, and collaborate with global product, SRE, and open-source communities.

Design, develop, and maintain enterprise-grade Java Spring Boot microservices and responsive React front-ends. Build and consume REST APIs, ensure performance, security, scalability, participate in code reviews, testing, production support, and Agile delivery within Banking/Financial Services.

Design, develop, and maintain scalable test automation frameworks and suites for functional, regression, performance, and end-to-end network testing. Integrate tests into CI/CD pipelines, apply AI/ML for test-case generation and anomaly detection, analyze large test/network datasets, and collaborate with development and QA teams on test strategy and defect resolution.

Lead and scale Neo4j's enterprise sales across India and South Asia: develop regional GTM and partner strategies, manage and mentor direct sales team, drive ARR growth through co-sell with GSIs and hyperscalers, act as executive sponsor on strategic deals, localize market expansion into verticals, optimize sales operations using data and MEDDPICC, and manage regional sales budget and financial planning.

Lead development of LLM-powered applications and agentic workflows: implement RAG pipelines, vector DB integrations, prompt orchestration, AI agents, and REST microservices. Optimize inference, deployment (containers/CI-CD/cloud), and evaluate model accuracy/hallucination. Debug performance issues and document designs.

Lead architecture and delivery of enterprise Generative AI solutions: design LLM-based RAG pipelines, multi-agent systems, and secure cloud deployments; establish LLMOps best practices; advise clients, run PoCs, and mentor engineering teams to operationalize scalable, compliant AI systems.

Develop, train, evaluate, and optimize ML solutions and data pipelines; translate business requirements into production-ready ML code; perform feature engineering, model selection, and evaluation; document work, participate in code reviews, and support testing and data issue resolution.

Design, deploy, and maintain blockchain infrastructure and cloud services on AWS. Administer and scale EKS Kubernetes clusters, build CI/CD pipelines (GitHub Actions, ArgoCD, CodeBuild), and automate infrastructure with Terraform/CloudFormation and Helm. Monitor system performance, tune services, and collaborate with global partners.

Design, build, and maintain internal developer tools, backend services, and automation to improve engineering efficiency. Integrate tools with CI/CD and cloud platforms, diagnose and fix tooling issues, research new tooling approaches, and ensure platform scalability, reliability, and maintainability.

Design, implement, and maintain large-scale, mission-critical infrastructure. Automate CI/CD and operational workflows, manage configuration and deployments, enhance observability, resolve production issues, recommend architectural improvements, and ensure system security in collaboration with development and QA teams.

Design, implement, and maintain large-scale infrastructure and configuration solutions. Automate CI/CD and operational workflows, manage deployments, enhance observability, troubleshoot production issues, recommend architectural improvements, and ensure system security.

Design, build, and operate cloud-native backend services in Go for multiple platforms. Own microservice architecture, deployment, and support, interface with end-users and developers, and ensure scalable platform operation for millions of users.

Design, build, and maintain internal monitoring and alerting for high-load real-time systems; automate production testing; troubleshoot and resolve performance issues; coordinate cross-team incident resolution; recommend architectural and process improvements; research vendor solutions and enforce security best practices.

Early-career software engineer in a fixed-term accelerator contributing to backend/full-stack feature development, testing, CI/CD, and deployments. Collaborate on API and system design, integrate and deploy AI/LLM capabilities (LLM APIs, RAG, embeddings, agents), build datasets/benchmarks, monitor performance, debug issues, and produce technical documentation.

Design, implement, and maintain large-scale production infrastructure and configuration management. Automate CI/CD and operational workflows, improve observability, troubleshoot production issues, recommend architecture and security enhancements, and support migrations in collaboration with development and QA.