Top AWS Jobs in Pune

Build and deploy AI-powered solutions for enterprise and campus customers. Scope environments, prototype agentic AI applications, design secure multi-tenant and hybrid architectures, and harden successful prototypes into production. Own identity, encryption, networking, CI/CD, observability, and production support within customer environments. Collaborate with product, AI, data, and program teams to standardize repeatable solutions. The role is highly customer-facing and requires regular domestic and occasional international travel.

Lead data science efforts to design, develop, and productionize ML models, services and scalable data pipelines. Collaborate across lines of business to deliver AI-powered software solutions, perform analysis and insights, and optimize business outcomes in a secure, scalable financial-services environment.

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 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.

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.

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 and execute performance engineering for a high-volume microservices dispute platform. Design and implement Java test logic, create and run performance tests (LoadRunner/StormRunner), profile and tune JVM, servers and databases, analyze thread/heap dumps, monitor production (Dynatrace, Splunk), define NFRs and capacity plans, collaborate with product and engineering teams in Agile.

Senior full-stack .NET developer responsible for designing, developing, integrating and deploying web applications. Lead technical delivery, mentor teams, implement CI/CD, unit tests, and collaborate with stakeholders. Work with .NET Core, C#, Azure, Angular, SQL and ORMs while promoting ownership, Agile practices, and strong OO design.

Lead architecture and delivery of enterprise .NET solutions: design scalable secure systems, guide development teams, engage clients, mentor engineers, and ensure successful production deployments.

Develop and maintain backend services using Java, Spring Boot, Hibernate/JPA within microservices architecture. Build REST APIs, collaborate on frontend features (React/Angular), work with SQL databases, cloud and container platforms, CI/CD pipelines, and apply secure coding, monitoring, and AI use-case development.

Develop backend and frontend components for microservice-based applications using Java, Spring Boot, Hibernate/JPA, and REST APIs. Build and integrate front-end features with React/Angular, work with SQL databases, and deploy to cloud using Docker and CI/CD pipelines. Apply secure coding practices, monitoring, and contribute to developing AI use cases. Participate in hybrid team environment at MetLife.

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.

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.

The Senior Data Scientist will architect real-time fraud detection systems, process large data sets, mentor teams, communicate findings, and innovate using AI technologies for effective risk management.

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

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

Build data-driven solutions and BI using Python, Power BI, and SQL. Implement DevOps pipelines with GitHub Actions/Azure DevOps, deploy on Azure/AWS, integrate APIs, apply unit testing and automation, and collaborate in Agile/Scrum with global teams. Support solution design, effort estimates, and use ML/DL/LLMs for intelligent features.

Design, build, and maintain scalable full-stack, data-intensive applications and APIs using Java/Spring Boot, TypeScript, React, and Databricks/Spark. Contribute to architecture, performance tuning, testing, code reviews, and cross-team collaboration. Mentor teammates and support operational excellence for analytics-driven experimentation platform.

Lead and mentor an SRE team to ensure reliability, scalability, and performance of Mastercard applications. Drive production readiness, automation, observability, incident triage/root-cause analysis, resilience design, and cloud/container modernization. Partner with developers to embed operational best practices and manage risk, compliance, and deployments across distributed systems.

Lead development and delivery of production agentic/autonomous AI components, integrating LLMs and agentic frameworks into business platforms. Build, test, containerize, and deploy cloud-native solutions using IaC and DevOps practices; document designs, ensure code quality and compliance, own workstreams, and manage a team of senior engineers across global locations.

Lead design, build, and run secure, scalable backend services and APIs (Python/Django/FastAPI). Automate network infrastructure and provisioning, improve reliability via observability and automation, lead system design, mentor engineers, enforce CI/CD, security, and AI-assisted development best practices, and partner across teams for vendor evaluation.

Lead architecture and modernization of an enterprise-scale, multi-tenant rewards data platform. Define standards for data modeling, integration, security, and workflow orchestration; design scalable batch and real-time distributed processing; drive cloud migrations, observability, and operational excellence; mentor engineers and influence cross-team architectural decisions.