Top AWS Jobs in Pune

Design, maintain, and automate CI/CD pipelines; manage development and test environments (RHEL servers, VMs, containers); build and publish Docker images to artifact registries; coordinate patching and compliance using BigFix and ServiceNow; monitor and troubleshoot build agents and infrastructure; integrate security scanning (SAST/SCA) into pipelines; collaborate across development, QA, security, and infrastructure teams to ensure reliable releases and environment stability.

Design, configure, and support AWS cloud infrastructure for financial systems. Implement and manage monitoring, logging, and observability solutions. Support production systems, troubleshoot incidents, perform root cause analysis, contribute to product configuration on AWS, collaborate with development/DevOps/architecture teams, participate in Agile/Scrum, and ensure cloud security, reliability, and operational best practices.

Senior technology architect advising clients on digital transformation and omnichannel commerce. Design and implement composable (MACH) eCommerce architectures on cloud (preferably AWS), lead migrations from monoliths, define API-first and microservices strategies, select best-of-breed components, ensure NFRs (scalability, security, performance), integrate payments, caching, monitoring and PIM/OMS/CMS/search systems, guide engineering teams, and contribute to proposals and vendor evaluations.

Lead design and implement CI/CD and cloud-based build/test infrastructure. Standardize pipelines and tooling, optimize cloud usage, extend continuous delivery, and collaborate with DevOps and development teams to automate builds, tests, and deployments using infrastructure-as-code.

Provide Level 2/3 support and administration for Genesys Cloud CX environments, design and manage IVR/self-service and voice bots, integrate with Microsoft Teams, configure CTI routing and outbound campaigns, troubleshoot platform/network issues, coordinate with Genesys Care and third-party vendors, maintain documentation, and deliver 24x7 remote production support.

Design and lead scalable, high-performance backend systems for capital markets using Java, Spring Boot, microservices, and event-driven patterns. Drive DDD, define architecture standards, optimize for low latency/high throughput, collaborate with product and DevOps teams, support production, and lead technical governance and code reviews.

Design, build, and maintain automated tests and hybrid testing frameworks for controls software in automated material-movement systems. Collaborate with product owners, architects, and deployment engineers to define acceptance criteria, create functional and end-to-end test scenarios, integrate tests into CI/CD pipelines, and provide automated reporting and performance testing. Practice SAFe Agile and coach best practices across teams.

Design, build, and maintain high-performance backend services in Go using microservices. Implement APIs (REST, gRPC, WebSockets), optimize scalability, collaborate with DevOps/QA/Product, participate in code reviews, troubleshoot production issues, and follow CI/CD and cloud best practices.

Design, operate, and automate highly available, scalable systems using SRE best practices. Implement SLI/SLO/error budgets, monitoring/observability, performance testing, CI/CD and IaC. Lead incident response, on-call rotations, and post-mortems. Collaborate across Dev, QA, DevOps, Security, and Product to ensure reliability, compliance, and performance for large-scale financial platforms.

Lead end-to-end delivery of IVR projects: gather requirements, translate to technical specs, manage integrations with CRM/APIs/databases, coordinate stakeholders and vendors, run UAT, and ensure on-time production rollouts while following SDLC and change management.

Build and maintain data systems for analysis, ensure stability of trading infrastructure, and collaborate with teams for operational efficiency.

Design, build, and maintain reliable, scalable, and secure infrastructure platforms using automation, IaC, CI/CD, containerization, and cloud services. Lead incident management, collaborate cross-functionally, implement security best practices, and drive platform modernization and resilience.

Design, develop, and maintain scalable backend services; implement secure APIs; optimize system performance and reliability; collaborate with cross-functional teams.

Provide technical pre-sales support for servers, storage, backup, and cloud solutions, while engaging with clients to gather requirements and offer effective solutions.

Lead end-to-end customer deployments with frontier AI labs: gather requirements, design and build production-grade, scalable systems across stack, partner with cross-functional teams, mentor engineers, and create reusable tools and deployment patterns to improve model and customer outcomes.

Build and scale the Reinforcement Learning Environments platform: design backend services and data pipelines, create modular simulation domains, improve reliability and observability, partner with US research and product teams, and ship high-quality maintainable code to support model training and evaluation.

Build and maintain customer-facing production software across the full stack. Partner with senior engineers to design, deploy, and iterate scalable solutions using React, TypeScript, relational databases, and cloud platforms. Improve reliability, performance, and maintainability while collaborating with Research, Product, and Operations teams on customer deployments.

The Fullstack Developer will support a web portal project, primarily using Java and Angular for development and maintenance tasks.

The Automation Tester will design, maintain, and troubleshoot automated test scripts using Selenium and API testing tools. Responsibilities include developing automation frameworks, collaborating on CI/CD processes, and guiding team members while ensuring the incorporation of new technologies and best practices.

As a hands-on data engineer, you'll build and enhance scalable data platforms, develop data pipelines, and collaborate with various teams to improve data solutions and system performance.

Design, develop, and execute test plans and automated tests (including API and performance). Identify and track defects, collaborate with cross-functional teams, maintain CI/CD test automation, and use AI tools to support test strategy and automation.

Lead IT audit and compliance activities, perform risk assessments, identify vulnerabilities across networks, applications, databases and cloud platforms, analyze audit data, recommend remediation, ensure IT governance alignment, and communicate findings to technical and non-technical stakeholders while collaborating with cross-functional teams.

Lead multi-stream data and AI projects, own project plans, budgets and risks, run governance meetings, coordinate Architects/Data Engineers/AI teams, apply Snap's delivery methodology, manage senior stakeholders, and oversee multiple concurrent client engagements to ensure timely delivery and client satisfaction.

Build and productionize ML systems for personalization, search, and recommendations. Apply statistical and ML models using Python and SQL, collaborate with stakeholders, and measure business impact across cloud environments.

Lead test strategy and automation across UI, API, and GraphQL. Build and evolve automation frameworks, integrate AI/LLM evaluation, optimize CI/CD test pipelines, implement performance and monitoring solutions, and mentor QE engineers to embed shift-left quality practices.