Top AWS Jobs in Chennai

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.

Design, build, and maintain scalable ETL/ELT and real-time data pipelines on AWS. Manage Airflow DAGs, Kafka ingestion, Redshift optimization, data quality checks, API integrations, and cost optimization while collaborating with BI for reporting needs.

Lead customer-facing development and deployment of production-ready ML, Generative AI, and agentic AI solutions for supply chain challenges. Partner with customers from discovery through adoption, build scalable ML pipelines and prototypes, evaluate emerging AI technologies, collaborate cross-functionally, and mentor team members to drive measurable business impact.

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.

Implement, test, and deliver assigned features within sprints; write clean, well-documented code; participate in code reviews; collaborate with seniors, QA, and product; learn new tools and contribute to improving codebase and processes.

Deliver end-to-end features for microservices-based systems, focusing on reliability, performance, testing, and production troubleshooting. Collaborate with product, QA, and DevOps, mentor junior engineers, adopt AI-assisted development, and improve system stability and delivery practices.

Lead architecture and delivery of scalable, secure web applications; drive AI-first engineering and LLM integrations; write full-stack production code; mentor engineers; promote best practices in microservices, cloud-native, CI/CD, observability, and security.

Senior Solutions Engineer (Mumbai) drives technical pre-sales engagements: mapping customer challenges to Couchbase solutions, running demos/workshops/PoCs, advising on architecture and performance, collaborating with sales, product and engineering, and producing technical collateral and best practices.

Lead technical vision and architecture for the Business Unit: translate requirements into scalable cloud microservices solutions, define solution and data/security architecture, guide cloud/platform configuration, evaluate tools, troubleshoot scalability/performance, run proofs-of-concept, mentor teams, and maintain architecture documentation.

Develop software using Java, Spring Boot, microservices, REST APIs, Kafka event processing, SQL and NoSQL databases, Maven, Gradle, and AWS. Apache Flink and hospitality domain knowledge are preferred.

Leads enterprise data governance and platform operations across Snowflake and AWS. Owns governance architecture, RBAC, compliance automation, SOX controls, metadata and catalog operations, AI/ML data governance, platform cost optimization, and self-service access. Manages and grows a technical governance team, oversees hiring and mentorship, and partners with engineering, security, finance, and business stakeholders to scale secure, compliant, cost-efficient data platforms.

Lead the design, development, operation, and troubleshooting of high-performance voice-platform services. Develop systems software in C and cloud backend services in Java, using AWS, Linux, networking, and real-time communications technologies. Drive architecture, reliability, observability, security, testing, and production excellence while mentoring engineers and influencing technical direction. Build expertise in SIP/VoIP and support mission-critical services at global enterprise scale.

Design, configure, and deploy Axway API proxies and policies; implement API security (OAuth2, JWT, mTLS); integrate APIs with backend systems; manage API lifecycle, CI/CD, monitoring, L2/L3 support, and documentation (OpenAPI/Swagger) within Agile delivery.

Lead design, configuration, deployment and lifecycle management of APIs using Axway Amplify API Gateway and API Manager. Implement API security (OAuth2, JWT, mTLS), integrate with backend systems (REST/SOAP/JMS/MQ), provide L2/L3 support, CI/CD promotions, monitoring, troubleshooting, and documentation (OpenAPI). Work in Agile/Scrum with client-facing responsibilities and mentor junior consultants.

Design, build, and maintain end-to-end web applications using Angular front-ends and NestJS/Node.js back-ends. Architect databases (PostgreSQL, MongoDB), implement RESTful APIs and microservices, ensure code quality with testing, and deploy via CI/CD, Docker, and Kubernetes. Mentor engineers and drive architectural decisions for performance, security, and scalability.

Senior Full Stack Developer responsible for building and maintaining .NET Core (C#) backends and React/TypeScript frontends, translating requirements into high-quality code, performing code reviews, troubleshooting production issues, collaborating with UI/UX and QA, and mentoring junior developers.

Develop and maintain Java-based microservices using Spring and Spring Boot. Design RESTful APIs, implement OAuth-based SSO, and support CI/CD pipelines. Work with Docker and Kubernetes for containerization and orchestration, and leverage cloud platforms such as AWS, Azure, or GCP. Collaborate with engineering teams, communicate effectively, and solve complex software development problems.

Design, build, and operationalize scalable enterprise cloud services using Python (or Java/NodeJS/Ruby), FastAPI/Django, React/TypeScript, GraphQL, event-driven and streaming architectures. Lead CI/CD, Terraform modules, performance testing, release management, and safe LLM/GenAI integrations while advising management and enforcing responsible AI practices.

The role involves leading full-stack development of the Agentic AI Platform, including backend and frontend implementation, technical design, and collaboration across teams.

The Cloud Managed Services Engineer (L3) provides technical support, resolves complex cloud incidents, and maintains service quality for clients, ensuring no missed SLAs.

Design, develop, and maintain scalable backend services, APIs, microservices, and distributed systems. Build secure data models, integrate internal and external systems, optimize application performance, and troubleshoot production issues. Collaborate with product, frontend, and DevOps teams; contribute to architecture and technical strategy; uphold engineering standards through code reviews and testing; and mentor junior engineers.

Define technical visions and architecture for products, platforms, and enterprise systems. Evaluate emerging technologies, lead proofs of concept, and design scalable cloud-native, distributed, and hybrid solutions. Establish engineering standards, assess technical risks, conduct architecture reviews, and guide modernization initiatives. Collaborate with customers and stakeholders, support engineering teams through complex decisions, mentor technical leaders, and contribute to product roadmaps, DevOps practices, and technology strategy.

Lead QA automation strategy and build end-to-end test frameworks for web, API, and AI-driven features. Develop UI and API automation, performance/load tests, CI-integrated quality gates, and deterministic validation for non-deterministic ML outputs. Partner with product and engineering to define acceptance, shift-left quality, and validate AI/vision outputs and generated test code.

Build and improve GoGuardian’s Pear Assessment platform across the full stack. Responsibilities include developing TypeScript and Node.js backend services, React interfaces, OpenSearch semantic search, scalable data pipelines, AWS cloud-native systems, MongoDB data models, and real-time classroom integrations. The role involves optimizing performance, reliability, and analytics, integrating AI services, collaborating cross-functionally, participating in architecture and code reviews, and maintaining strong testing and engineering standards.

Lead the design, development, and delivery of backup, restore, replication, and continuous data protection capabilities. Architect storage-driver interfaces and storage-independent replication for reliable recovery across data centers. Mentor engineers and provide technical direction across engineering, QA, UI, and UX. Collaborate with Product and Support, troubleshoot distributed-system failures, lead root-cause analysis, and establish engineering practices for testing, automation, documentation, and operational readiness.