Top AWS Jobs in Chennai

As a Backend Engineer, you will develop automation frameworks, resolve bugs, optimize performance, and collaborate with teams to enhance product quality.

Design, build, and deploy AI-powered legal applications using LLMs, RAG, and agentic AI. Partner with legal stakeholders to translate workflows, build document ingestion and vector search pipelines, ship production-grade features, implement governance/security controls, and mentor/legal users while aligning solutions with enterprise architecture and monitoring quality and evaluation metrics.

Design, develop, and maintain scalable Java/Spring Boot backend services on Unix. Lead architecture, perform code reviews, debug and optimize applications, mentor junior engineers, participate in Agile ceremonies, and collaborate with cross-functional teams.

Early-career DevSecOps role focused on securing and automating Binance infrastructure: design/deploy AWS security measures, harden systems, analyze logs for threats, perform access and vulnerability assessments, and build or leverage LLMs for anomaly detection.

Design and build secure, scalable enterprise automation using n8n and related platforms. Implement AI-enabled workflows, API-first and event-driven integrations, CI/CD, observability, governance, and monitoring. Lead architecture and reviews, define standards and templates, mentor teams, and measure impact via automation metrics.

Develop, fine-tune, deploy, and optimize AI/ML models and LLM-based RAG systems using Python, AWS Bedrock, and major ML frameworks. Build scalable REST APIs and microservices with FastAPI or Flask, deploy containerized solutions on AWS, and manage CI/CD. Design databases and automated ETL pipelines, integrate cloud services, and document AI workflows while collaborating with cross-functional technical and product teams.

Lead a two-month project to assess the current data environment and design, build, and optimize a scalable cloud data warehouse. Deliver automated ETL/ELT pipelines, dimensional models, analytics-ready datasets, documentation, and handover while partnering with analysts and stakeholders for BI and reporting.

Senior pre-sales engineer driving partner enablement, developer evangelism, and strategic technical engagements across India. Lead PoCs, workshops, architecture reviews, and community content to position Docker's container and AI governance products for enterprise and partner adoption.

Design, architect, and implement Salesforce and GTM integrations at scale. Lead development (Apex, triggers, async jobs, REST/API), instrument monitoring/alerting, ship AI-assisted workflows, reduce technical debt, mentor junior admins, and act as technical escalation for revenue-critical systems.

Design, build, and maintain cloud-native full-stack applications using React and Python (FastAPI). Architect scalable solutions on AWS/Azure, implement CI/CD and IaC, develop RESTful APIs, optimize performance and security, mentor junior engineers, and participate in design and code reviews.

Design, build, and maintain scalable test automation frameworks and CI/CD-integrated test suites for carrier-grade network systems. Apply AI/ML for intelligent test generation, anomaly detection, and predictive analysis. Analyze test/network data, develop visualization tools, collaborate with development and QA teams, and contribute to test strategy, reviews, and documentation to improve quality and delivery velocity.

Lead post-sale technical onboarding for enterprise customers: design secure cloud network architectures, provision AuraDB or self-managed clusters, implement IAM/SSO and system hardening, architect data ingestion pipelines, optimise Cypher performance, configure observability, produce architecture deliverables, and transition customers to operations.

Seeking a Chennai-based developer with 6–9 years' experience in Java, JavaScript and Node for front-end development. AWS experience is a plus.

Manage, scale, and optimize multi-cloud Kubernetes clusters (AKS, EKS, GKE). Implement security, CI/CD, monitoring, and disaster recovery. Collaborate with dev and ops teams, document configurations, and provide on-call support.

Design and execute performance tests, develop testing frameworks using Python or Node.js, monitor application performance in cloud environments, and integrate testing into CI/CD pipelines.

The Senior Data Scientist will design and implement data pipelines, develop models for player engagement, and collaborate with teams to deliver insights and solutions.

The Senior Manager, Machine Learning leads the Conversation Memory team, focusing on developing foundational AI features, ensuring operational excellence, mentoring engineers, and managing project timelines for ML solutions.

The Senior Full Stack Engineer will architect Java microservices, develop React components, automate tasks with Python, and enhance system reliability and observability while mentoring peers.

Design, deploy, and maintain scalable, secure IT infrastructure. Lead and mentor IT teams, manage vendor relationships, ensure compliance, optimize performance, drive disaster recovery and business continuity, and automate operations.

Provide DevOps/SRE/platforms support including ticket queue management, monitoring, and on-call rota for London/Bermuda. Build and maintain IaC and automation (Terraform, ARM), create YAML CI/CD pipelines in Azure DevOps, support Azure IaaS/PaaS/SaaS, manage server OS (Windows/Unix), and develop scripts (PowerShell, Bash, Python, CLI/REST).

Design, build and maintain ETL mappings and data models; write SQL and Snowflake queries; manage ETL/infrastructure on AWS (EC2); use Informatica, Control-M and ServiceNow; script in Python/Shell/PowerShell; collaborate with onshore/offshore teams and define BI delivery strategy.

Design and develop Java/J2EE applications using Core Java, Servlets/JSP, Spring Boot and REST services. Implement multithreaded logic, database interactions (SQL/Oracle, ORM), messaging (ActiveMQ), and basic Unix/shell scripting. Collaborate in agile teams and communicate effectively; cloud, scheduling, UI, and financial domain exposure are beneficial.

Design and build Python-based microservices and REST APIs using FastAPI. Deploy and operate services on AWS (EC2, S3, Lambda, RDS) with secure networking (VPC, IAM). Containerize and orchestrate workloads with Kubernetes and manage YAML manifests. Implement data flows with Apache NiFi, build CI/CD pipelines (Jenkins, Git, Kompass), optimize relational DBs with SQL, and deliver features in an Agile environment.

Develop and maintain Java (8+) web applications using Spring Boot. Design, build, and document customer-facing RESTful APIs. Work with AWS services (SQS, Lambda, DynamoDB, RDS, S3, Kinesis, CloudFormation). Interpret high-level requirements, ask clarifying questions, self-learn, manage time, and deliver across the full development lifecycle to production.

Develop and maintain Java backend services and REST APIs using frameworks like Spring. Build on AWS (S3, DynamoDB, Glue, Kinesis), deploy on Kubernetes, and work with NoSQL datastores. Collaborate on monitoring, CI/CD, and data pipeline integrations.