Top AWS Jobs in Pune

Convert data‑science prototypes into production ML services; build and operate Databricks/Spark pipelines reading/writing Snowflake; manage full model lifecycle (MLflow, CI/CD, retraining, drift monitoring); deliver/version audience segments to ad‑tech partners; ensure scalability, cost efficiency, privacy, and mentor engineers.

The role involves designing and maintaining AI/HPC infrastructure, focusing on large-scale networking projects, performance monitoring, troubleshooting, and customer interaction.

The Lead Software Engineer - Network Automation will build, maintain, and automate infrastructure platforms ensuring reliability, security, and scalability through collaboration and expertise in network technologies.

This role involves designing, developing, and improving software solutions, collaborating with cross-functional teams, implementing coding standards, and managing application health and deployment processes.

Design, develop and improve software using various methodologies, ensuring quality, collaboration, and adherence to secure coding practices. Lead team efforts and influence strategic decisions.

Lead and manage engineering teams to deliver high-quality software, mentor team members, optimize processes, and collaborate with stakeholders on technical solutions.

Design, build, integrate, and operate enterprise-scale AI security and DevSecOps platforms. Embed security into developer workflows and CI/CD, automate security processes, support vulnerability remediation, enable secure AI development, and drive adoption of emerging security technologies and developer enablement.

Lead architecture and design for multi-tier .NET and cloud-based products, drive POCs, define technology roadmaps, mentor engineering teams, ensure high availability, CI/CD and IaC best practices, and integrate AI/LLM solutions while delivering architecture documentation and stakeholder-aligned designs.

Lead end-to-end execution of large, cross-product technical programs. Manage scope, risks, dependencies, and delivery for platform integrations, modernization, reliability, and enterprise launches. Partner with architects and engineering leaders on architecture and integration strategy. Provide executive communication on program health, drive decision-making across stakeholders, and establish scalable program frameworks and tooling. Mentor TPMs and improve planning, dependency management, and delivery predictability.

The Senior Software Engineer - SRE will design and operate scalable AWS infrastructure, manage Kubernetes platforms, optimize CI/CD systems, and enhance operational reliability through automation and observability.

Provide high-quality technical support for PTC Windchill PLM (SaaS, hosted, on-prem), investigate and resolve customer issues, produce knowledge articles, run trainings/webinars, and improve ITIL/ISO-based support processes while collaborating with global teams and rotating across Europe/North America hours.

Lead technical architecture for fintech and content platforms, ensure scalability, security, and regulatory compliance (SEBI, IRDAI, PCI-DSS), review designs, and guide backend and mobile engineering teams to align delivery with business goals.

Design, develop, and maintain cloud infrastructure as code (Terraform); build and maintain CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions, GitLab CI/CD); automate operational tasks and platform components across Azure and AWS; integrate security, testing, and secrets management into delivery pipelines; use AI-assisted tools to accelerate development while validating outputs; support monitoring, incident resolution, and reliability improvements.

Design, develop, and maintain cloud infrastructure and automation using Terraform and CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions, GitLab). Build reusable platform components, integrate security and testing into deployments, use AI tools to improve code and IaC productivity, support monitoring, troubleshooting, and incident response, and participate in on-call rotation and continuous improvement.

Design, implement, and maintain cloud infrastructure as code and automation to support enterprise platforms. Build and maintain CI/CD pipelines, integrate security into delivery, use AI-assisted tools to improve productivity, and support operations, monitoring, and incident resolution across Azure and AWS environments.

Design, optimize, and maintain scalable ETL and ML pipelines (PySpark/Databricks) on cloud platforms; build, deploy, monitor, and improve demand-forecasting/time-series models; collaborate with stakeholders to explain model behavior and deliver forecasting and optimization solutions for retail/CPG use cases.

Lead a product pod's engineering delivery: plan, estimate, and execute features with high quality and predictable timelines. Bridge product and engineering by reviewing PRDs, guiding technical decisions, enforcing best practices (code review, testing, observability, security), mentoring engineers, collaborating with QA/Design/DevOps, and reducing production issues while managing technical debt.

Design and own architecture for production-grade Generative AI applications. Lead system design across backend, frontend (React), and AI infrastructure for LLM inference, RAG pipelines, and agent workflows. Define technical strategy, standards for prompt design, model integration, observability, and enterprise readiness (security, privacy, governance). Mentor teams, run POCs, review designs and code, and partner with product and business stakeholders to translate requirements into scalable AI solutions.

Design, build, and maintain scalable backend services and APIs; optimize performance and data pipelines; architect and manage AWS infrastructure; document systems; ensure code quality through reviews; deploy containerized microservices and implement infrastructure-as-code and monitoring/alerting for production systems.

Design, build, and maintain cloud infrastructure and automation using IaC (Terraform) across Azure and AWS. Develop and maintain CI/CD pipelines (ADO, Jenkins, GitHub Actions, GitLab CI/CD), integrate security and testing into delivery, use AI-assisted tools to improve productivity, and support operations, monitoring, and incident resolution.

Design, build, and automate cloud infrastructure and platform services using IaC (Terraform) and CI/CD pipelines across Azure and AWS. Implement DevSecOps practices, integrate security and testing into delivery, support operations and incident response, and apply AI-assisted tools to accelerate development and improve quality.

Contribute to full‑stack development across front-end and back-end using modern frameworks, cloud platforms, APIs, and databases. Participate in the software lifecycle, collaborate with senior engineers, own tasks, and support scalable, high-quality digital solutions while learning and growing.

Lead and mentor an engineering team while acting as a hands-on technical lead. Drive architecture and design, implement Node.js/GraphQL backends, collaborate with clients and cross-functional teams, optimize cloud infrastructure (AWS/Azure), implement observability, and leverage AI tools to accelerate development.

Design, develop, and deliver scalable Java and React-based software across UI and backend. Collaborate with cross-functional teams, follow secure coding and testing practices, lead technical discussions, mentor developers, and ensure alignment with governance, performance, and business objectives.

Lead architecture and delivery of production-grade GenAI full‑stack solutions using Python and React. Design scalable LLM inference, RAG and agent pipelines, integrate cloud/on‑prem deployments, enforce security/governance, drive CI/CD and QA, mentor teams, and translate business needs into technical strategy and reusable AI platforms.