Top AWS Jobs in Chennai

Design, build, and maintain scalable, high-performance Java backend applications and microservices on AWS. Implement APIs, solve performance and reliability issues, participate in system design, code reviews, and collaborate with cross-functional teams to deliver production-ready software.

Design, automate, and maintain secure AWS cloud infrastructure and CI/CD pipelines. Build reusable IaC modules (Terraform/CloudFormation/CDK), operate container platforms (EKS/ECS/Fargate), implement observability and security controls, support migrations, use AI-assisted tools responsibly, optimize cost, and produce documentation and runbooks to scale platform reliability and developer productivity.

Develop, test, deploy and maintain high-performance, secure software within a feature team. Collaborate with engineers, architects and analysts across the full lifecycle from requirements to operations, delivering high-quality solutions that add business value.

Work within a feature team to design, build, test, deploy and maintain high-quality software across the full lifecycle. Collaborate with engineers, architects and analysts to deliver customer-centric, secure, high-performance solutions using cloud infrastructure and modern programming languages.

Develop and maintain scalable Java/Spring Boot backends and Vue.js or React frontends for enterprise products. Responsibilities include system design, feature development, performance and reliability improvements, L3 support, testing, code reviews, documentation, Agile collaboration, project estimation, architectural decisions, and mentoring junior engineers.

Lead design, development, deployment, and maintenance of full-stack applications using Java Spring Boot and Angular. Architect cloud-native microservices and serverless solutions on AWS, integrate with SQL/RDS, implement CI/CD with Jenkins/Git, apply secure coding and AWS security best practices, collaborate in Agile teams, perform debugging, optimization, and code reviews, and use tools like Apigee, Zeplin, and Jaspersoft.

Lead the design, architecture, and modernization of a global Azure-based cloud platform. Own IaC, CI/CD, observability, reliability, cost optimization (FinOps), and mentor engineers while partnering with product, security, and leadership to ensure scalable, secure, highly available SaaS infrastructure.

Research, prototype, and develop AI/ML models and end-to-end voice agents (STT, TTS, NLU, LLMs). Build and evaluate prototypes, design experiments and benchmarks, analyze failure modes, optimize inference and pipelines for scalability, and collaborate to productionize conversational voice systems.

Designs and develops advanced supply chain optimization solutions using mathematical programming, heuristics, meta-heuristics, machine learning, simulation, and cloud technologies. Translates client requirements into scalable technical architectures, optimization models, and applications. Reviews designs, defines non-functional requirements, performs proofs of concept, supports pre-sales and go-to-market activities, and bridges technical decisions with business recommendations.

The AI Engineer will develop and deploy GenAI applications, serve as a technical advisor, and collaborate on strategic initiatives in AI at Databricks.

Design, develop, and optimize AI, SLM/LLM, and agentic solutions. Implement and tune algorithms and large-scale distributed training, orchestrate model fine-tuning and serving, analyze performance, define APIs, and communicate technical outcomes to non-technical stakeholders.

Engineer and maintain high-performance, secure software within a feature team. Design, code, test, deploy and operate solutions, collaborate with architects and analysts, and produce high-quality deliverables across the full lifecycle.

Engineer and maintain secure, high-performance customer-centric software within a feature team. Deliver complex, high-quality code across the full lifecycle (requirements, design, coding, testing, deployment, operations). Collaborate with engineers, architects, analysts and stakeholders to optimize engineering capability and produce production-grade solutions.

Lead the design, development, deployment, and optimization of AI-driven applications, especially RAG-based chatbots and generative AI solutions. Build scalable systems with Python and Java, deploy them on AWS and Azure, and apply machine learning, deep learning, NLP, vector databases, embeddings, and LLM integrations. Collaborate with cross-functional teams, manage technical deliverables, mentor engineers, ensure quality through testing and optimization, and adopt emerging AI technologies.

Lead design and delivery of RAG-based chatbot and AI solutions: architect scalable Python/Java systems, deploy and manage on AWS/Azure, mentor engineers, ensure quality, and research emerging AI methods.

Design, build, and operate AWS/Azure cloud infrastructure and DevOps workflows. Own IaC, CI/CD, container and serverless deployments, monitoring, security, cost optimization, and cloud migrations while automating operations and collaborating with development, data, and ML teams.

Develop, train, evaluate, and optimize ML solutions and data pipelines; translate business requirements into production-ready ML code; perform feature engineering, model selection, and evaluation; document work, participate in code reviews, and support testing and data issue resolution.

Support and maintain multi-framework compliance programs (SOX, ISO 27001, SOC 2, NIST, CMMC, etc.); coordinate evidence collection and audits; work with control owners; manage GRC platform; support third-party risk assessments; track and report risk and compliance metrics; drive continuous improvement and audit readiness.

Design, architect, test, and deliver web, media, and security solutions for customers; analyze traffic, implement Akamai security/delivery/compute products, provide technical consulting, training, and cross-functional issue resolution, leveraging automation and APIs.

Develop and maintain full-stack applications using React and TypeScript on the frontend and Python with Flask on the backend. Build and manage RESTful APIs, work with PostgreSQL or MongoDB, and use AWS services and AWS CDK for cloud infrastructure. The role requires handling frontend and backend responsibilities in a remote environment. Supply chain, logistics, manufacturing, and physical-product software experience are bonus qualifications.

Lead architecture and delivery of a composable, API-first Core Commerce Platform powering checkout, payments, OMS, inventory availability, loyalty, and post-order experiences. Drive integration of packaged solutions (SFCC, Fluent Commerce), payments, social and agentic commerce, and AI-native capabilities. Own SLAs, reliability, security (PCI-DSS), roadmap, and engineering standards while building and leading high-performing, on-site platform teams.

The Lead Software Engineer will design scalable architectures, lead software development teams, and ensure best practices in cloud-native systems using Java and AWS.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Design and deliver scalable, highly available data architectures and pipelines (batch and streaming). Lead technical delivery, mentor teams, manage client engagements, ensure security/compliance, and drive implementation using cloud (AWS/Azure/GCP), ETL, data lake/warehouse, and best SDLC/Agile practices.

Design, develop, and maintain scalable Node.js backend services (Hapi.js/Express.js); build and integrate RESTful APIs and microservices; optimize PostgreSQL storage; collaborate with frontend, DevOps, and QA; ensure code quality via unit testing, code reviews, Git, and CI/CD (Jenkins).