Top AWS Jobs in Chennai

Leads data engineering teams and provides technical direction for scalable, reliable data platforms and solutions. Oversees Agile delivery, backlog planning, operational support, quality standards, technical debt reduction, and stakeholder communication. Coaches engineers, sets performance goals, drives innovation, and guides adoption of data, cloud, containerization, DevOps, artificial intelligence, and machine learning technologies.

Designs, implements, automates, and supports secure AWS cloud infrastructure and Kubernetes platforms. Builds CI/CD pipelines and Infrastructure as Code, integrates DevSecOps controls, manages monitoring and observability, automates processes, and supports production incidents. Collaborates with engineering, QA, MLOps, and security teams across cloud and hybrid environments while driving reliability, vulnerability remediation, governance, and operational excellence independently.

Lead the design, development, testing, documentation, and support of scalable cloud-native microservices and micro-frontends using .NET, C#, Vue.js, TypeScript, and AWS/GCP. Participate in Agile planning, code reviews, automation, stakeholder demonstrations, training, and production support. Serve as a cloud architecture subject matter expert, promote security best practices, provide architectural guidance, and mentor associate developers.

Design and implement full-stack features with minimal guidance. Collaborate with PMs, UX, QA, and engineers. Build frontend components (React/Angular) and backend services (Java/Kotlin/.NET). Develop and consume RESTful APIs, use Git, Gradle/Maven, and troubleshoot production issues. Participate in code reviews, follow architectural patterns, and support delivery during critical phases.

Lead the design, implementation, and operation of AI Ops and SRE solutions in public cloud environments. Build RAG pipelines, agentic workflows, and AI-powered enterprise applications; automate infrastructure with Terraform and GitHub Actions; manage Kubernetes; lead incident response; ensure reliability, scalability, and performance; establish AI evaluation and monitoring frameworks; and mentor engineering teams.

Develop and operate reliable cloud infrastructure and applications, automate cloud operations and deployments, implement infrastructure procedures, and provide 24/7 rotating on-call support. The role requires enterprise cloud administration across public-cloud platforms, programming, CI/CD, Kubernetes or Terraform experience, and knowledge of cloud security, networking, monitoring, logging, and Linux/Windows systems.

Responsible for the reliability, scalability, monitoring, performance, automation, and security of large-scale data platforms. Duties include incident response, troubleshooting data pipelines and storage, capacity planning, infrastructure deployment, disaster recovery, performance optimization, documentation, and cross-team collaboration. The role requires developing automation tools, managing cloud and distributed data systems, and supporting high-availability data products.

Leads a platform engineering team responsible for cloud infrastructure, Kubernetes, automation, Infrastructure as Code, CI/CD, and developer enablement. Sets technical priorities and roadmaps, drives platform reliability, incident response, observability, security, and operational excellence, and partners across engineering, product, architecture, infrastructure, and security teams. Coaches engineers, manages resources and delivery, establishes engineering standards and metrics, and advances DevOps, GitOps, and cloud-native practices.

Leads software platform operations and implementation while coordinating team activities, coaching engineers, supporting customers, troubleshooting distributed systems, ensuring quality, and maintaining cybersecurity compliance. The role develops and debugs server-side applications, manages cloud and infrastructure technologies, supports capacity planning and launch readiness, and participates in weekend on-call rotations.

Leads end-to-end delivery of enterprise-scale full-stack application development projects from initiation through production support. Defines scope, schedules, budgets, milestones, resources, and roadmaps; coordinates engineering, architecture, QA, DevOps, security, infrastructure, and product teams; manages risks, dependencies, governance, and stakeholder communication. Ensures scalable, secure, high-quality cloud-native applications using modern full-stack technologies, microservices, observability, and DevSecOps practices. Mentors teams and drives Agile delivery, continuous improvement, and operational reliability.

Work with stakeholders to define data needs, source and merge datasets, run exploratory analysis and hypothesis testing, build predictive models, evaluate campaigns, and ensure analytics comply with data governance standards.

Lead and mentor a frontend engineering team to design, develop, test, and deploy scalable, high-performance React web applications. Define frontend architecture and standards, drive adoption of CI/CD, automated testing, performance optimization, and accessibility. Collaborate with product, UX, backend, and QA to deliver releases, manage production support, and coach engineers for technical growth and delivery excellence.

Build and operate backend systems and data pipelines for cloud security; ingest and process multi-source security data, design workflows and automation, own production services, ensure observability and CI/CD, collaborate with engineering and security stakeholders to deliver reliable, testable, and operable platforms.

Design, implement, and administer SAP Analytics Cloud (SAC) planning and reporting solutions. Lead SAC modelling, story creation, SAC admin, and migrations from BPC to SAC. Collaborate with data, product, and functional teams to define data acquisitions, virtual models in HANA, pipelines, and security. Provide support, training, and stabilization efforts while managing multiple projects and mentoring team members.

Lead the migration and operation of enterprise-scale batch processing on OneTru GCP. Design scalable, resilient batch platforms, automate batch triggers/LFE configurations, improve reliability and time-to-market, and adopt AI for operational simplification.

Build and scale a resilient, automated batch processing platform on GCP. Migrate on‑prem workloads to OneTru, optimize batch triggers and LFE configurations, improve reliability and operational efficiency, and apply automation and basic AI to standardize processes.

Build and operate a scalable, resilient enterprise batch processing platform on GCP. Accelerate migration from on‑prem to cloud, automate batch triggers and LFE configurations, improve reliability and operational efficiency, and support large-scale daily credit data workloads in a hybrid team.

Lead and mentor a team of cloud infrastructure engineers, manage modernization efforts, oversee cloud security compliance, and architect solutions for a unified cloud ecosystem.

Lead ETL and data warehouse testing efforts using SQL, Python, automation frameworks and AI-assisted tools. Validate ETL/ELT processes, perform data reconciliation and lineage analysis, develop automated test frameworks, integrate tests into CI/CD, mentor junior QA, and collaborate with engineers to resolve defects and improve data quality.

Design, build, and operate scalable cloud-native data pipelines, platforms, and production services. Implement data modeling, orchestration, CI/CD, and IaC. Develop AI/LLM agent solutions, RAG, and prompt-engineered workflows. Ensure reliability, performance optimization, monitoring, and mentor junior engineers.

Build and optimize scalable batch and real-time data pipelines, modernize legacy workloads to cloud platforms, deliver production-grade Java/Spark data solutions, apply CI/CD and infrastructure-as-code, participate in code reviews, and ensure data quality and operational reliability.

Leads scalable UI and API test automation using Python, PyTest, Playwright, Robot Framework, and Selenium. Develops comprehensive test suites, validates APIs and databases, tests microservices and healthcare applications, and integrates quality checks into CI/CD pipelines. Oversees defect triage, risk-based testing, quality metrics, release readiness, and Agile collaboration. Applies AI tools, LLMs, machine-learning-based test optimization, prompt engineering, and intelligent failure analysis. Supports cloud, containerization, infrastructure-as-code, and healthcare interoperability testing.

Own and lead Rubrik's engagement with Indian Global Systems Integrators (GSIs), drive strategic partnerships, create services and enablement, manage financial models and negotiations, accelerate partner adoption and bookings, coordinate cross-functional stakeholders, build OEM/ISV ecosystems, and execute partner account strategies and KPIs. Frequent travel required.

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.

Develops secure, scalable full-stack software for JPMorgan Chase’s Asset and Wealth Management Data and Analytics team. Responsibilities include coding with Java, React, TypeScript, Python, and AWS; designing, testing, debugging, and troubleshooting applications; analyzing data; supporting operational stability; and applying agile, CI/CD, security, resiliency, and AI-assisted development practices.