Top AWS Jobs in Pune

Partner with product and engineering to analyze product data, define user stories, build MVP reports, monitor product performance, track KPIs, participate in Agile ceremonies, and contribute to product roadmaps and feature opportunities.

Lead design and build cloud-native batch and real-time data platforms. Develop scalable ETL/ELT and streaming pipelines (Spark, Kafka, Flink), ensure data quality, governance, observability, security, cost optimization, and drive platform engineering excellence and team mentorship.

The Enterprise Architect will design R&D IT solutions, enhance analytics platforms, ensure regulatory compliance, and mentor teams while collaborating with multiple stakeholders.

The Senior Software Engineer - Data Engineer will lead project phases, design technical solutions, manage team efforts, and collaborate globally while driving innovative data solutions.

The Lead - Full Stack Web Applications will provide technical leadership in developing scalable web platforms, focusing on architecture, engineering standards, and application delivery, while mentoring engineers and ensuring best practices across the stack.

Maintain and improve cloud environments by analyzing systems, reducing incidents, performing root cause analysis, automating tests, monitoring performance, troubleshooting across stack, and driving reliability improvements.

The Lead, Big Data Analytics & Engineering will oversee data engineering, analytics enablement, and collaboration across teams, focusing on high-quality data platforms and solutions.

Responsible for leading high-quality software development for payment applications using Java, Spring Boot, and AWS, focusing on digital payments solutions.

Lead and coach backend engineering teams to design, build, deploy, and operate global digital payment authentication products. Hire and develop talent, drive architecture, prioritize technical debt, ensure cloud-native deployments, testing strategies, and engineering productivity across services.

Lead design and implementation of end-to-end network monitoring and observability for global payment infrastructure. Build real-time telemetry pipelines, define SLAs/SLOs, perform incident forensics, ensure PCI-DSS compliance, drive automation and AI/ML anomaly detection, evaluate observability tools, and mentor engineering teams.

Lead technical design and strategy for Coupa's cloud platform: architect multi-tenant, scalable cloud systems; drive automation, CI/CD, IaC, quality engineering, security/compliance, FinOps, observability; mentor engineers and lead cross-functional platform modernization and release initiatives.

Lead design and build secure, scalable authentication products (ID Check, Token Authentication) for e-commerce. Drive architecture, full-stack microservice development, CI/CD/cloud deployments, performance and reliability, mentor engineers, influence prioritization, and collaborate with product stakeholders to deliver global customer-facing services.

Develop complex solutions using various technologies, manage projects through all lifecycle phases, and collaborate with teams to drive results. Emphasizes consulting mindset, client-first approach, and effective communication skills.

The Cloud Architect will lead cloud architecture and migration initiatives, ensuring secure and scalable solutions while advising architectural decisions and working across teams.

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

The Staff Detection Engineer will develop advanced detection rules and pipelines for threat hunting, leveraging big data tools. Responsibilities include maintaining detection systems, writing detections, and collaborating in a dynamic environment.

Design, build, and operate scalable, secure full‑stack web applications. Deliver end‑to‑end features using Java/Spring Boot or Python/Django backends and React/Next.js frontends. Implement REST APIs, automated tests, CI/CD, observability, and secure coding. Troubleshoot production, participate in on‑call rotations, mentor junior engineers, and collaborate with Product/UX/DevOps to ensure reliability, accessibility, and maintainability.

Lead end-to-end cloud-based technology implementations, provide technical expertise, drive delivery and scalability, mentor teams, collaborate globally, develop business cases, and manage client-facing engagements with enterprise data, analytics, and application solutions.

Provide 24x7 monitoring and incident management across Windows, Linux, VMware and hybrid cloud using SolarWinds and Splunk. Administer SolarWinds platform, tune alerts/reports, perform first-line triage, support patching/change processes, troubleshoot virtualization and AWS, and coordinate escalations following ITIL practices.

The Senior Site Reliability Engineer will enhance service reliability and performance across critical systems, using Java and various cloud technologies, while mentoring junior engineers.

Work with internal and client teams to analyze business problems, design and implement technical features using SQL, Python, and cloud platforms. Contribute to development, testing, and deployment using modern methodologies (agile, QA, unit testing). Support project implementation plans, translate requirements into technical designs, and collaborate across teams to deliver scalable Gen AI and analytics solutions.

Design, build, and operate tools and systems to deploy and scale applications and data across hybrid cloud and physical environments. Support platform reliability, CI/CD pipelines, logging, monitoring, vulnerability detection, and hundreds of data pipelines. Collaborate with data engineering teams and troubleshoot complex system, network, and application issues.

As an Enterprise Architect, you will define enterprise data architecture, lead cloud platform modernization, establish governance frameworks, and integrate AI-driven solutions while mentoring global teams.

The Engineering Lead will design and implement technical features, work on ML pipelines, and mentor engineers while ensuring high-quality deliverables. This role requires collaborating with teams and managing the ML lifecycle for business value.

Designs, develops, and debugs software for diverse products, ensuring quality through testing and tracking progress in collaboration with stakeholders.