Top AWS Jobs in Chennai

Develop and maintain SEO-focused software applications and resilient test automation. Collaborate on technical solutions, code reviews, troubleshooting, documentation, performance and load testing, and exploratory testing. The role requires Java development, test automation, API testing, cloud deployment, database experience, RESTful APIs, and familiarity with CI/CD, containers, monitoring, and security practices.

Experienced Business Analyst responsible for gathering and documenting business and technical requirements, analyzing processes, recommending IT solutions, and bridging business and technology teams. The role develops user stories, use cases, process flows, and acceptance criteria; supports Agile delivery, UAT, feasibility studies, workshops, and sprint planning; and contributes to enterprise IT, cloud, integration, and software development initiatives.

Owns production AI and distributed backend systems that transform utility documents into reliable structured data. Responsibilities include designing multi-agent workflows, OCR and document intelligence pipelines, event-driven Python services, evaluation frameworks, data models, deployments, observability, testing, and incident follow-up. The role requires end-to-end ownership, strong communication, mentoring, and hands-on expertise with LLM applications, AWS, Kubernetes, PostgreSQL, and resilient distributed systems.

Senior Staff Engineer serving as a hands-on technical SME across Core Engineering squads in India. Responsibilities include approving complex designs, building production software, leading distributed systems and cross-service changes, improving performance and reliability, validating AI-generated code, modernizing legacy services, resolving production issues, documenting architecture, and mentoring senior engineers without direct management responsibilities.

Lead architecture and technical direction for backend services powering utility-data acquisition, extraction, and auditing. Own medium-to-large projects end to end, review designs and code, manage reliability and technical debt, support production operations, and mentor engineers. Build high-volume distributed systems and third-party integrations using Java, Python, SQL, event-driven architectures, and AWS-based container platforms. Establish rigorous AI-assisted development, observability, testing, and architectural practices while collaborating across product, operations, analytics, and distributed engineering teams.

Design, build, and maintain fullstack web systems with Zoom Apps integration. Implement scalable front-end and back-end components, APIs, and cloud-hosted services while optimizing performance and collaborating with product and research teams in a fast-paced health-tech startup.

Build and deploy production-ready predictive and statistical models, prepare datasets, conduct experimentation, monitor model performance and drift, and quantify business impact. The role partners with data engineering and governance teams, optimizes computational and operational efficiency, enables stakeholders to use model-driven insights, and may apply GenAI or agentic AI to automate workflows and support decision-making.

Own the roadmap connecting ChangeMan mainframe change management with Git-native workflows, VSCode tooling, CI/CD, and platform engineering. Design branching, merge, pull request, GitOps, and trunk-based development models; build a control plane connecting mainframe and open-systems delivery targets; and partner with mainframe teams to maintain synchronization.

Seeking a DevOps engineer to design CI/CD pipelines, manage cloud infrastructure, automate deployments, and troubleshoot issues in a collaborative environment.

Analyzes and improves engineering systems and processes, develops and validates models, and provides data-driven recommendations. The role involves full-stack .NET development using C#, ASP.NET, Angular or React, database development, REST APIs, cloud services, source control, troubleshooting, application support, and Agile delivery. The engineer collaborates with analysts, QA teams, project teams, and stakeholders to implement scalable solutions and optimize performance.

Build and manage scalable ETL pipelines, data models, Airflow workflows, and dbt transformations for Zoom’s marketing analytics infrastructure. Develop complex SQL and Python solutions, implement data quality monitoring, and collaborate with analysts and marketing stakeholders. The role supports campaign performance, attribution modeling, customer journey analytics, and reliable reporting through production-grade AWS data solutions.

Owns the design, development, modernization, deployment, and operation of production software systems. Responsibilities include incrementally decomposing monoliths into scalable services, maintaining API and data compatibility, improving reliability and performance, implementing automated testing, operating AWS cloud services, monitoring production systems, participating in 24/7 on-call, and using AI-assisted development tools.

Provides first-level technical support, monitoring, incident management, troubleshooting, and fault resolution for OTT platforms including Astro Go and Sooka. Manages live events, promotions, app configurations, content performance, tickets, escalations, reports, inventory, documentation, system upgrades, vendor coordination, and project implementation. The role also supports application optimization and internal custom system development while working 12-hour shifts, including weekends.

Own full-stack product features from design through production across React and Java systems. Design scalable APIs, data models, backend services, and polished user experiences while addressing performance, reliability, caching, asynchronous processing, and observability. Collaborate with Product and Design, debug issues across the stack, improve architecture, write tested code, participate in technical decisions, and mentor engineers.

Designs, builds, and deploys AI-powered, cloud-native POS systems for retail and hospitality. Responsibilities include integrating LLMs and generative AI, developing agentic workflows, implementing real-time analytics and automation, establishing evaluation and safety frameworks, and supporting high-availability transactional systems. The role collaborates across product, UX, operations, and business teams while mentoring engineers on secure AI architecture, payment handling, observability, and resilient deployments.

Consolidate and modernize PALU and CIMS data and deployment systems across Databricks, AWS, GitLab CI/CD, PostgreSQL, and dbt. Responsibilities include assessing Databricks, building data pipelines and models, configuring CI/CD, optimizing AWS costs, implementing containers and infrastructure as code, managing security and backups, monitoring systems, resolving maintenance issues, documenting configurations, and training MCD staff for independent system operation.

Diagnose and resolve complex infrastructure issues across servers, networks, cloud platforms, and enterprise systems. Design integrated hybrid-cloud solutions, automate workflows and deployments, assess risks, troubleshoot issues, and create technical documentation. Collaborate with architects, project managers, technical teams, customers, and stakeholders to deliver infrastructure projects and operational improvements. The role requires expertise in enterprise IT, AWS public cloud, Windows, Linux, systems administration, DevOps, or systems architecture.

Lead design and governance of secure, scalable multi-cloud and hybrid architectures. Define reference patterns, drive cloud migrations, implement IaC and observability, ensure security/compliance and operational excellence, and guide delivery teams on resiliency, cost optimization, and CI/CD enablement.

Lead the Platform Services engineering team responsible for shared infrastructure, internal tooling, and core services. Own distributed systems architecture, cloud reliability, observability, cost optimization, roadmap delivery, and incident management while remaining hands-on with code and production systems. Hire, mentor, and develop engineers; establish technical standards; and collaborate with product engineering, SRE, security, and leadership. Drive AI-assisted engineering practices and platform automation.

Provide first- and second-line application support for global users across rotating day and night shifts. Investigate incidents and service requests using logs, monitoring tools, SQL, API calls, and debugging tools. Troubleshoot Windows, Linux, databases, networking, and application issues; document incidents; manage SLAs; and collaborate with development, QA, infrastructure, and subject-matter experts to resolve complex problems.

Own the architecture, automation, security, scalability, and operation of hybrid infrastructure across on-premises datacenters and AWS. Lead hosting pipeline improvements, infrastructure design, observability, virtualization, deployment automation, and structured change management. Collaborate with engineering and product teams, communicate technical trade-offs, optimize platform reliability, and mentor hosting personnel.

Design, develop, and optimize scalable data platforms, pipelines, and processing workflows supporting analytics, business intelligence, and AI applications. Build solutions with Databricks and cloud technologies, integrate structured and unstructured data, implement quality and governance practices, optimize architectures, and support production deployment and monitoring. Collaborate with cross-functional teams to translate business requirements into reliable technical solutions and troubleshoot complex data challenges.

Lead enterprise backend architecture for scalable, distributed, cloud-native applications using Java, Spring Boot, and microservices. Define architecture standards, service boundaries, integration patterns, HLD/LLD designs, and cloud deployment strategies. Drive modernization, observability, CI/CD, security, performance, and resiliency initiatives across engineering teams. Provide technical leadership, conduct architecture and code reviews, mentor developers, and collaborate with stakeholders on technology roadmaps and enterprise solutions.

Assist with cloud environment operations, monitoring, patch management, VMware administration, endpoint security upkeep, automation scripting, documentation, and ITSM ticket handling. The intern will support Windows and Linux systems, learn cloud and infrastructure operations, follow escalation procedures, and shadow senior engineers while developing practical troubleshooting and operational skills.

Designs end-to-end enterprise architectures integrating AI/ML, Generative AI, automation, cloud services, data platforms, and production engineering. Translates client requirements into secure, scalable solutions; leads architecture reviews, proofs of concept, technology evaluations, and technical proposals. Defines integration and data strategies, guides MLOps/LLMOps adoption, advises stakeholders, ensures compliance and performance, and mentors engineering teams. The role also supports client-facing consulting and pre-sales solutioning.