Top AWS Jobs in Chennai

Leads the Solutions Architecture function across direct sales, cloud, partner, and solution-provider channels. Hires, coaches, and develops SAs; owns technical coverage, deal velocity, PoC win rates, technical qualification, escalations, playbooks, and pre-sale to post-sale handoffs. Partners with Sales, Partnerships, Engineering, Product, TAM, and Customer Engineering while contributing to strategic evaluations and team-wide ARR bookings.

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.

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.

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.

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.

Lead end-to-end cloud and platform engineering consulting engagements, owning scope, governance, client relationships, delivery quality, and executive outcomes. Manage and coach a 2–3 person engineering pod, oversee staffing and utilization, conduct multi-cloud technical discovery, and develop prioritized recommendations and roadmaps. Evolve Rapid Solutions offerings, playbooks, templates, and delivery standards while applying AI-driven solutions to improve efficiency and insight.

Administer and support enterprise IBM/Software AG WebMethods environments across development, test, and production. Responsibilities include platform configuration, monitoring, performance tuning, security, access management, networking, incident resolution, upgrades, migrations, disaster recovery, documentation, governance, and infrastructure modernization. The role serves as Level 3 support, leads critical troubleshooting and migration efforts, and mentors junior administrators.

Senior QA engineer responsible for testing and validating wired/wireless networking and cloud solutions. Develop automation, triage and resolve production issues, perform root cause analysis across network, OS, application and cloud layers, and use observability tools to debug distributed systems.

Design, develop, and maintain scalable SaaS features using the MEAN stack. Collaborate with product, design, and DevOps to translate requirements, deliver high-quality code, perform code reviews, troubleshoot production issues, and support deployments while recommending process and technology improvements.

Lead daily network operations across LAN/WAN/SD‑WAN/wireless/cloud for global sites. Mentor engineers, manage incidents, drive troubleshooting/root cause, collaborate with cross‑functional teams, and lead network modernization, automation, and reporting efforts.

Provides customer-facing technical support by owning tickets from intake through resolution, meeting SLAs, troubleshooting data quality and integration issues, documenting solutions, and coordinating escalations. The role also contributes to knowledge management, pipeline monitoring, dashboards, AI agents, and workflow automation. Success requires accuracy, customer empathy, strong communication, systematic problem-solving, and the ability to manage multiple priorities in a remote, fast-paced SaaS environment.

Design, develop, and maintain server-side components and APIs for scalable web applications. Manage relational/NoSQL databases, integrate third-party APIs, implement security best practices, optimize performance, collaborate with front-end and QA, use Git, and produce documentation.

Architect and build a scalable, production-ready, multi-tenant ecommerce SaaS platform. Define architecture and technical standards, implement backend and frontend (Python/React), design APIs, ensure reliability, security, observability, and drive CI/CD, DevOps, and best practices while mentoring engineering teams.

Lead enterprise architecture for logistics: define multi-year platform, data, security, and automation roadmaps; chair architecture review board; set platform, integration, cloud, IaC/CI-CD, observability, data mesh, streaming, MLOps, and security standards; govern RPA and intelligent automation; build and coach a central architecture team; advise executives and represent with vendors and cloud providers.

Build, maintain, and modernize front-end features and design system for Vena's core platform. Fix complex bugs and performance issues, conduct code reviews, collaborate with cross-functional teams, improve testing and accessibility, mentor teammates, and drive adoption of AI-driven development practices.

Architect and modernize Vena’s cloud-native backend platform. Lead design, performance optimization, and complex bug resolution. Mentor engineers, drive major technical initiatives, partner with product/architecture, and adopt AI-driven tooling to improve code quality, performance, and delivery.

Lead a backend Core Engineering team to deliver and modernize Vena's core platform. Provide technical leadership, hands-on engineering, system design, risk mitigation, mentoring, roadmap execution, and champion engineering best practices and AI-driven tooling to improve productivity and codebase health.

Lead and deliver front-end engineering for a cloud-native SaaS product: drive architecture and design system ownership, modernize core front-end infrastructure, mentor engineers, manage technical debt and roadmaps, collaborate with PMs and designers, and contribute hands-on code while promoting AI-driven development practices to improve productivity and quality.

Sell Akamai solutions to major accounts in North India by building territory plans, developing partner ecosystems, engaging C-levels, driving new customer acquisition, managing pipeline and contract negotiations to maximize bookings and logos.

As a Postgres Deployment Engineer, you will manage PostgreSQL lifecycles, optimize CI/CD systems, resolve production issues, and mentor teammates. You will focus on deployment stability and enhance developer tools.