Top AWS Jobs in Chennai

Lead design and implementation of enterprise test automation and quality engineering strategies. Build scalable automation frameworks for UI, API, integration, and end-to-end testing; integrate tests into CI/CD pipelines; promote shift-left practices; evaluate modern and AI-powered testing tools; monitor automation health; mentor QA teams and define quality roadmaps with stakeholders.

The .Net Lead Engineer is responsible for understanding project requirements, project planning, designing technical specifications, developing and supporting applications, testing code, and mentoring team members.

The .Net Consultant performs complex coding, project planning, and management tasks. They develop and maintain high-quality applications, ensuring compliance with standards and conducting peer reviews, while managing project scope and requirements.

The Data Engineer will create and maintain data pipelines, optimize data delivery, build analytics tools, and support cross-functional teams with data infrastructure needs.

Design, implement, operate, and secure enterprise LAN/WAN/WLAN and data center networks. Configure routers, switches, firewalls and VPNs; monitor performance; troubleshoot incidents; manage IP addressing and routing; drive capacity planning and optimization; maintain documentation and collaborate with Cloud, DevOps, and Infrastructure teams in 24x7 support rotations.

Lead technical delivery and operations for JD Edwards EnterpriseOne, IBM integration, cloud architecture, and AI adoption. Hands-on responsibilities include JDE development, CNC administration, Oracle DBA tasks, IIB/MQ integration, cloud migrations, IaC/automation, CI/CD, performance tuning, DR/BCP, and managing a cross-functional engineering team while driving DevOps practices and stakeholder alignment.

Collaborate with teams to design and execute testing strategies, drive quality practices, and implement automation and performance testing to ensure high-quality software delivery.

Design, develop, and implement scalable Gen‑AI/LLM applications and RAG systems. Perform systems analysis, development lifecycle tasks, security reviews, user support, and mentor junior analysts while ensuring compliance and governance.

Lead design, develop, and optimize SaaS applications using .NET Core APIs and Angular. Diagnose and improve API response times, frontend rendering, and database performance. Conduct code reviews, write unit/integration tests, collaborate with QA/DevOps, and contribute to scalable, resilient system design.

The Principal Cloud Engineer will design, develop, and manage scalable cloud-native applications using Java, Spring Boot, and Kubernetes, while mentoring teams and implementing DevOps practices.

Design, build, and maintain headless commerce React frontends and BFF layers for Salesforce Commerce Cloud. Create reusable atomic UI components, optimize server/client performance (MRT), implement testing and Storybook sandboxes, and collaborate with cross-functional teams. Mentor engineers and drive Spec-Driven and AI-first frontend practices.

Build and maintain cloud infrastructure, CI/CD pipelines, containerized workloads, and infrastructure-as-code systems on AWS. Manage production databases, monitoring, logging, observability, version control workflows, and deployment infrastructure. Support mobile release pipelines and optimize infrastructure costs as needed. The role is remote within Europe and involves collaborating with a small consumer AI platform team.

Own the React Native application end to end, including architecture, performance, releases, app-store presence, and roadmap. Lead and mentor two mobile engineers, establish technical direction, and collaborate on engineering and product strategy. Deliver polished iOS and Android experiences, run experiments, measure growth and retention impact, and iterate rapidly. The role may help expand the mobile team as the app grows.

Design, deploy, and manage AWS and Azure cloud infrastructure, implement CI/CD automation, monitor and optimize performance and costs, enforce security and governance, build serverless solutions, troubleshoot cross-team issues, and maintain documentation and best practices.

Lead technical pre-sales for mid-to-large enterprise deals: perform discovery, whiteboard solutions, scope automation, design scalable SD-WAN/cloud network architectures, validate BOMs/RFPs, mentor junior architects, and align Sales, Delivery, and Product.

Quota-carrying enterprise sales role focused on generating, qualifying, and closing AI opportunities across an assigned region. Partner with field teams and AI ecosystem partners, craft executive-quality pitch decks and proposals, manage CRM and forecasts, and translate AI technologies into business value. Drive both infrastructure/product sales and consulting engagements through the full sales cycle while embedding into account planning and co-selling motions.

Build and deliver full-stack features for a critical communications and physical security platform. Develop .NET Core and C# server solutions, React and TypeScript web applications, microservices, REST APIs, and integrations with edge hardware. Collaborate in an agile cross-functional team across the full software lifecycle, including design, development, testing, continuous integration, and deployment using AWS, Kubernetes, Docker, GitLab, Selenium, and static analysis.

Build and deploy full-stack AI applications integrating LLMs, RAG architectures, vector databases, and multi-agent systems. Develop Python backends, APIs, ingestion pipelines, responsive interfaces, and real-time dashboards. Design and optimize PostgreSQL databases, containerize applications with Docker and Kubernetes, manage AWS and GPU infrastructure, and operate Linux environments. Mentor developers, conduct demonstrations, evaluate emerging AI technologies, and improve reliability through testing, debugging, performance tuning, and quality processes.

Leads the architecture and delivery of production-grade agentic and generative AI systems, including LLM agents, RAG pipelines, multi-agent workflows, and scalable cloud applications. Guides technical architecture, production engineering, LLMOps, evaluation, observability, security, and responsible AI practices. Mentors AI/ML and backend engineers, conducts design and code reviews, and collaborates with product, data, platform, security, compliance, and executive stakeholders.

Develop scalable Java APIs and backend services using AWS and DocumentDB. Design data models, optimize queries and application performance, troubleshoot production issues, conduct code reviews, and implement testing and CI/CD pipelines. The role also involves evaluating and integrating AI/ML models into production APIs, researching technologies, and collaborating across distributed teams in a remote-first environment.

Designs and implements computer vision and machine learning algorithms for aquaculture applications. Responsibilities include developing prototypes, conducting experiments, building data-processing and training pipelines, maintaining model testing and statistical verification, extending AI codebases, documenting research, leading long-term research, recruiting talent, and tracking AI developments. The role may also involve production deployment, inference optimization, MLOps, cloud platforms, and occasional visits to aquaculture sites.

The Senior Big Data Engineer will manage customer engagements, develop big data architectures, and guide clients in utilizing the Databricks platform effectively.

Drive process improvement, automation, and analytics across SOX, Internal Audit, and Enterprise Risk Management functions. Map workflows, eliminate manual effort, build CI/CD-enabled automation and testing frameworks, and develop Power BI dashboards using Python and SQL. Configure Jira workflows and compliance automation, implement compliance-as-code monitoring, and apply GenAI with audit-ready guardrails. Partner with technology and compliance teams to deliver scalable, measurable, and defensible solutions.

Leads end-to-end client engagements for cloud, platform engineering, and AI solutions. Owns scope, governance, risks, outcomes, and executive communications while managing a 2–3 person engineering pod. Drives multi-cloud technical discovery across AWS, Azure, and GCP, develops prioritized recommendations and roadmaps, applies AI-driven solutions, and evolves repeatable delivery playbooks, templates, and standards.

Leads end-to-end cloud and platform engineering consulting engagements, owning scope, governance, delivery quality, client relationships, and executive outcomes. Manages a 2–3 person engineering pod through staffing, coaching, and performance development. Oversees multi-cloud discovery across AWS, Azure, and GCP, develops prioritized recommendations and roadmaps, applies AI-driven solutions, and evolves repeatable Rapid Solutions playbooks, templates, and delivery standards.