Top AWS Jobs in Pune

Develop and maintain scalable Java backend applications, REST APIs, and microservices. Integrate backend services with frontend systems and third-party platforms, write efficient code, conduct reviews, troubleshoot issues, optimize performance, and implement security measures. Collaborate with QA, product, and frontend teams while participating in Agile ceremonies, testing, documentation, and service improvements.

Own and architect scalable test infrastructure, establish quality strategies, optimize test suites and CI/CD performance, manage AWS-based test environments, develop reporting and testing tools, and mentor junior SDET engineers. The role requires advanced TypeScript, Playwright framework expertise, API/UI test orchestration, software design patterns, AWS, Docker, Git, reporting tools, and performance optimization experience.

The Site Reliability Engineer will design scalable infrastructure, automated deployment pipelines, monitoring, and alerting systems. Responsibilities include troubleshooting production incidents, participating in on-call rotations, maintaining systems, improving security and compliance, optimizing reliability and efficiency, and mentoring junior engineers. The role requires collaboration with development and cross-functional teams, technical communication, infrastructure automation, and expertise in distributed systems, cloud platforms, and networking.

Leads client-facing delivery of complex data, analytics, AI, cloud, and modern data platform solutions. Owns technical workstreams from discovery through deployment, designs pipelines and integrations, modernizes legacy data environments, applies testing and governance practices, troubleshoots complex issues, and ensures production readiness. Guides engineers, reviews technical deliverables, contributes to proposals and technical discovery, mentors consultants, and develops reusable engineering patterns for the Data Practice.

Analyze sales, financial, customer, and commercial performance data to support forecasting, business planning, growth opportunity identification, and executive decision-making. Build dashboards, reporting solutions, forecasts, scenarios, and actionable recommendations. Partner with business and technology stakeholders to improve data quality, KPI governance, analytics adoption, and measurement of commercial initiatives. Apply statistical, predictive, machine learning, and experimentation techniques when they deliver measurable business value.

Designs and leads enterprise AI Factory and GPU infrastructure architectures spanning compute, networking, storage, Kubernetes, cloud, security, observability, and AI/ML platforms. Assesses workloads, develops reference architectures and detailed designs, performs capacity planning and technology evaluations, leads proof-of-concepts, and supports deployment, migration, troubleshooting, and production transition. Collaborates across infrastructure, security, cloud, data, application, and operations teams to ensure scalable, secure, reliable, and cost-effective AI platforms.

Lead hands-on development and modernization of Core Java and J2EE applications. Responsibilities include architecture and design, module ownership, cloud migration, SaaS enablement, performance optimization, unit testing, code reviews, security compliance, client engagement, and mentoring junior engineers. The role requires deep expertise in Java concurrency, data structures, algorithms, monolithic architectures, UML, scalable application development, and cloud deployments.

Lead AI strategy and development focused on RAG, code generation, agentic AI, LLM fine-tuning, and AI-assisted software engineering. Build scalable retrieval pipelines, AI search and chatbot tools, automated test-generation systems, and cloud-based MLOps infrastructure. Integrate AI capabilities into IDE and CI/CD workflows, optimize real-time inference, mentor 3–5 AI engineers, and establish secure, reliable, and bias-aware AI development practices.

Design and deliver cloud-native data platforms, scalable big data pipelines, lakehouses, warehouses, transformation frameworks, BI solutions, and ML-enabled data workflows. Lead client-facing pre-sales engagements, technical workshops, proof-of-concepts, executive conversations, and enterprise data modernization initiatives. Build reusable architectural IP, influence senior stakeholders, and translate ambiguous business challenges into production-ready solutions using AWS and modern data technologies.

Own and improve cloud infrastructure, Kubernetes platforms, Infrastructure as Code, CI/CD, GitOps, observability, security, reliability, and cost efficiency. Build automation and self-service tooling, lead complex production incident investigations, improve resilience and disaster recovery, evaluate architecture, and mentor engineers. The role requires autonomous platform ownership, strong systems judgment, and thoughtful use of AI-assisted engineering tools.

Manage the full customer journey for a portfolio of cloud security customers. Drive adoption, customer success plans, business outcomes, renewals, and expansion while serving as a trusted advisor. Lead executive and quarterly business reviews, manage risks and escalations, communicate product updates, and collaborate with technical, sales, and cross-functional teams. The role requires cloud security and SaaS experience, knowledge of AWS, Azure, and Google Cloud, strong communication, AI proficiency, and 30% travel.

Leads software engineering teams delivering Generative AI and data engineering solutions. Responsibilities include technical leadership, mentoring, resource and risk management, process improvement, stakeholder collaboration, engineering standards, testing, governance, and delivery oversight. The role drives scalable, secure cloud-native solutions involving LLMs, AI assistants, RAG, agentic workflows, and responsible AI while aligning technology roadmaps with business objectives.

Lead technical presales for enterprise AI, data analytics, and digital twin solutions in telecommunications and other industries. Build customer relationships, conduct discovery workshops, design solutions, deliver demos, lead proofs of concept, support RFPs and proposals, and guide post-sale optimization. Translate complex technical capabilities into business outcomes for technical and executive stakeholders while collaborating with sales, product, engineering, and delivery teams.

Design, build, and operate production LLM agents and supporting APIs using Python and Node/TypeScript. Develop tool-use loops, retrieval systems, orchestration, evaluation, and guardrails. Deploy services on AWS using Infrastructure as Code and CI/CD, while working with Databricks notebooks, Jobs, Unity Catalog, and Delta Lake. Contribute to code reviews, testing, documentation, and shared engineering standards. The role requires independently shipping production agents, RAG systems, and reliable software services.

The Senior Solution Architect leads technical delivery, gathers requirements, educates clients on product architecture, and advises on best practices.

Own HUD’s production infrastructure and backend platform systems, focusing on reliability, scalability, performance, cost, deployment safety, and developer experience. Build AWS infrastructure with Terraform and Kubernetes, improve CI/CD and observability, design resilient services and asynchronous systems, manage incidents, and develop internal automation and tooling. The role supports high-availability AI, marketplace, and data-heavy workloads.

Build and automate cloud cost optimization and governance across AWS and GCP. Analyze billing and usage, identify and implement savings, maintain cost attribution, create reporting and anomaly detection, and write Python, Terraform, and Lambda automation. Partner with Engineering, Finance, Product, and leadership on architecture tradeoffs, forecasting, budgeting, and cost accountability.

Implements enterprise cryptographic strategy and post-quantum readiness through certificate automation, DigiCert self-service, PKI integrations, and cryptographic asset inventories. Builds certificate lifecycle workflows across cloud, CI/CD, infrastructure, and application environments; establishes CBOMs; remediates certificate and cryptographic risks; develops runbooks and dashboards; and supports crypto-agility, PQC migration planning, and technical adoption across global teams.

Design and drive the target-state architecture for a Databricks-native data platform. Define scalable ingestion, governance, security, analytics, and reliability standards while delivering hands-on proofs of concept with SQL, PySpark, and Python. Partner with product, operations, and engineering teams to align platform investments with business needs, reduce technical debt and total cost of ownership, mentor engineers, evaluate technologies, and support AI-powered development and data analytics capabilities.

Own end-to-end development of modules across Amtech’s AWS-hosted .NET/C# Cloud API and legacy 4D ERP platform. Design RESTful APIs, integrate AWS services, resolve complex business-logic issues, improve testing and reliability, maintain data integrity, participate in Agile ceremonies and code reviews, and mentor junior engineers. The role requires independent technical judgment across modern and legacy enterprise systems, with opportunities to use AI-assisted development tools.

Designs, automates, and supports AWS cloud infrastructure and delivery pipelines for cloud-native digital products. Responsibilities include Terraform and Ansible automation, CI/CD support, AWS account and networking configuration, containerized workloads on Amazon ECS, security and monitoring alignment, troubleshooting, documentation, and collaboration with application and central cloud teams.

Develop and maintain end-to-end web applications using modern JavaScript and TypeScript frameworks, Node.js, APIs, databases, and cloud platforms. Design responsive interfaces, implement secure authentication, write documentation and automated tests, debug performance and reliability issues, and follow Agile development practices. Collaborate with designers, product managers, testers, and other stakeholders to translate requirements into technical solutions. Mentor junior developers, recommend innovative improvements, and continuously optimize application code.

Build and operate production Kubernetes and AWS infrastructure across environments and customer deployments. Own CI/CD pipelines, automated provisioning, deployments, rollbacks, observability, reliability, scalability, and security. Debug issues involving Kubernetes, networking, databases, and applications, while developing internal tooling to improve engineering productivity. Partner with engineering, customer infrastructure, and security teams on enterprise deployments.

Build and deploy production AI systems across LLM orchestration, retrieval, agents, evaluations, voice, APIs, backend services, and infrastructure. Design reliable LLM pipelines, evaluation suites, data flows, and real-time multimodal experiences. Experiment with emerging models, debug issues across the stack, and communicate technical decisions clearly while owning projects from exploration through production iteration.

Design, build, and operate Supabase’s global edge and networking infrastructure, including routing, load balancing, DNS, WAF, TLS termination, CDN integrations, and observability. Improve latency, reliability, security, and cost efficiency across cloud regions. The role includes developing automated routing systems and CI/CD, troubleshooting distributed systems, participating in on-call and incident response, and collaborating with infrastructure and product teams.