Top AWS Jobs in Chennai

Develops and executes automated end-to-end testing for cloud-based networking applications, including functional, integration, performance, scale, load, API, and UI testing. Creates test strategies, plans, and automation using Python, Selenium, Robot Framework, and related tools. Tests wired and wireless networking protocols, security features, microservices, containerized environments, and cloud platforms. Collaborates with product, development, and CloudOps teams, reviews automation code, investigates customer issues, and improves test coverage.

Develop and maintain custom Java and Spring Boot software solutions, including RESTful APIs and third-party integrations. Design scalable components, optimize application performance, document technical work, and follow agile and code-quality practices. Build CI/CD pipelines, use AWS services and version control, and collaborate with cross-functional teams. The engineer is expected to work independently, contribute as a subject matter expert, support junior team members, and participate in team discussions. The role is based in Bengaluru or Chennai and requires Shift B availability.

Build and mature DevOps automation processes and infrastructure. Own the GitLab foundation, including repository standards, CI/CD pipelines, testing, releases, and deployment coordination. Maintain automation and orchestration platforms, define cloud, virtualized, and physical infrastructure requirements, and establish safe AI-assisted automation policies. Partner with security, risk, systems, NOC, and business teams on requirements and deployment. The role requires Python, AWS, Ansible, Terraform, Docker, network automation, and release management expertise.

Build, maintain, test, and optimize scalable data architectures and pipelines. Extract, transform, and load data for analysts and scientists; source and integrate new data; improve data quality, security, governance, reliability, and performance. Collaborate with technology and architecture teams, practice DevOps, troubleshoot issues, manage platform costs, and contribute to strategic data solutions.

Own end-to-end customer implementation operations, onboarding, recurring data deliveries, production workflows, and operational support. Support AI-enabled implementations, validate data quality, troubleshoot delivery workflows, collaborate with technical and customer-facing teams, and use GenAI and automation to improve efficiency, reliability, documentation, and scalability.

Build, maintain, test, and optimize scalable data architectures and pipelines. Extract, transform, and load data into platforms for analysts and scientists, integrate new data sources, improve data quality and performance, perform root cause analysis, and support DevOps practices. Collaborate with technology, architecture, and business stakeholders to develop cost-effective, secure, governed data solutions that drive customer value.

Designs, develops, and supports full-stack applications using Java, Spring Boot, modern front-end frameworks, microservices, APIs, and enterprise integrations. Responsibilities include building scalable and secure systems, implementing CI/CD and DevOps practices, providing production support, troubleshooting distributed applications, and collaborating in Agile teams. The role also contributes to cloud adoption, modernization, performance improvements, automated testing, and compliance in a regulated financial-services environment.

Design, develop, test, operate and maintain production-grade software. Take full‑stack ownership, produce testable code, follow architectural and security best practices, perform root-cause analysis, conduct and act on code reviews, and collaborate across product and engineering teams to deliver scalable, reliable solutions using agile and DevOps principles.

Design, develop, and maintain scalable Java-based full-stack applications and microservices. Build APIs, integrations (Kafka, DBs), support CI/CD and production L3 support, ensure security, and collaborate in Agile teams to modernize cloud-based systems.

Provides strategic leadership and accountability for large-scale programs spanning multiple entities and workstreams. Oversees governance, planning, delivery quality, stakeholder engagement, risks, dependencies, budgets, resources, vendors, and executive escalations. Ensures alignment across business and technology teams and delivers approved milestones, scope, and business outcomes. Requires extensive program or portfolio management experience and expertise in transformation delivery methodologies, enterprise applications, cloud, data, and digital initiatives.

Manages day-to-day planning, governance, coordination, and delivery for large-scale business or technology transformation programs. Oversees schedules, milestones, budgets, resources, risks, issues, dependencies, vendors, and stakeholder expectations. Produces program roadmaps, dashboards, governance reports, and executive updates while coordinating across business and technology teams to ensure successful delivery outcomes.

Perform independent second-line technology risk testing across IT, security, cloud, and AI/ML domains. Execute end-to-end control testing, document findings (risk and control matrices), and work with business and risk teams to remediate gaps and report significant risks to management.

Design, build, and operate production-grade backend services using Node.js and TypeScript. Integrate LLMs and AI services, develop RESTful APIs and data layers, implement RAG pipelines with vector databases, and apply agentic workflows. Maintain automated testing with Jest and Playwright, deploy services on Azure or AWS, and support scalable systems for banking and fintech clients with strong reliability, security, and auditability requirements.

Provides domain-level security expertise across the software development lifecycle, embedding security into backlogs, feature delivery, and service operations. Manages secrets-management platforms, cloud-native security controls, incident response, disaster recovery, and high availability. Partners with engineering teams and stakeholders on risk frameworks, policy controls, cost management, innovation, and secure service delivery across AWS, GCP, Kubernetes, and infrastructure-as-code environments.

Develop and maintain enterprise-scale responsive web applications using React and related frontend technologies. Build reusable UI components, integrate REST and GraphQL APIs, optimize performance, ensure accessibility and cross-browser compatibility, and write tested, documented code. Collaborate with product, UX/UI, backend, DevOps, and QA teams throughout the software development lifecycle. Participate in design discussions, code reviews, sprint planning, and resolve bugs and usability issues.

Design, develop and automate end-to-end test suites for cloud-based networking products. Execute functional, integration, performance and scale tests; review customer issues; collaborate with product, development and CloudOps; perform API and UI automation; and validate networking, security and virtualization features.

Manage the operational lifecycle of enterprise applications, ensuring reliability and availability while collaborating with various teams for performance tuning and incident management.

Design, develop, test, and maintain backend services and APIs in C#/.NET. Lead migration of services from Node.js/Golang to .NET, optimize performance, scalability, reliability, and security. Collaborate with product, DevOps, and frontend teams, contribute to CI/CD and automated testing, participate in code reviews, and document architectural decisions.

Design, develop, deploy, and scale enterprise AI and machine learning solutions, including predictive models, recommendation engines, automation, and model-serving APIs. Build data pipelines and MLOps workflows, monitor model performance and drift, troubleshoot production systems, and implement responsible AI practices. Collaborate with technical and business stakeholders, contribute to architecture and code reviews, and mentor junior engineers while applying cloud-native technologies.

Design, build, test, and maintain scalable, secure software for globally available distributed systems. Translate business needs into technical deliverables, make pragmatic architecture decisions, ensure reliability and operational readiness, and troubleshoot production issues. Collaborate with product and engineering teams, reduce technical debt, contribute to continuous improvement, and mentor junior engineers while promoting strong quality and ownership practices.

Develops and maintains production-quality software for defined components and features. Responsibilities include backend development, API and domain design, testing, CI/CD, cloud and DevOps practices, observability, security, incident response, documentation, code reviews, and technical debt reduction. Collaborates with product and engineering teams to deliver reliable, scalable solutions and may mentor junior engineers.

Design and architect scalable cloud solutions across multiple platforms. Modernize applications, ensure security, and streamline infrastructure operations while optimizing for cost and performance.

Design and implement scalable automation solutions using Python, infrastructure as code, CI/CD, cloud platforms, and DevOps practices. Define automation standards, best practices, and roadmaps while driving value realization and continuous improvement. Apply GenAI frameworks, observability tools, and SRE practices. Mentor engineers and lead stakeholder collaboration across platforms including AWS, Azure, and GCP.

Develop and maintain Java full-stack applications, microservices, REST APIs, and event-driven solutions using Kafka. Lead AWS cloud modernization initiatives, migrate monolithic systems, optimize Oracle and Redis-backed applications, and implement secure, scalable cloud-native architectures. Collaborate with architects, DevOps, and QA teams in Agile environments while mentoring junior developers and contributing technical leadership to enterprise modernization projects.

Design and implement scalable automation solutions using Python, cloud platforms, IaC, CI/CD, GitOps, GenAI frameworks, and observability tools. Establish automation standards, best practices, and roadmaps while driving value realization and continuous improvement. The role also requires SRE practices, mentoring, stakeholder leadership, and delivery of high-performing software solutions across diverse platforms.