Top AWS Jobs in Chennai

Design, build, and maintain centralized data pipelines, warehouses, lakes and hubs. Assemble complex datasets, implement ETL processes, build analytics tools and reports, support cross-functional teams, ensure secure cross-region data separation, and create product data tools to enable insights on acquisition and operational metrics.

Design, develop, and deploy ML models and LLM-based applications; implement RAG and vector database pipelines; fine-tune models, optimize inference and scalability; build REST APIs and backend integrations; monitor AI system performance; collaborate cross-functionally and stay current with AI advancements.

Lead design and management of scalable cloud infrastructure, CI/CD automation, Kubernetes orchestration, IaC with Terraform, observability and incident response, security and disaster recovery, and mentor junior engineers while collaborating with cross-functional teams.

Lead Product Support will manage product operations, coordinate internal teams, resolve customer issues, mentor support engineers, and utilize automation and AI tools for efficiency.

Lead product strategy, roadmap, and market launch for agentic AI solutions. Collaborate cross-functionally to define requirements, validate features, integrate with ServiceNow, drive POCs and production rollouts, and measure ROI and IP/services revenue.

Design, develop, and maintain Oracle EBS R12 customizations, interfaces, and integrations; partner with functional leads to translate requirements; perform tuning and troubleshooting; own end-to-end delivery in Agile teams; conduct code reviews and mentor juniors; use AI tools to accelerate SQL/PLSQL and testing.

Lead architecture and development of customer-facing AI agents and multi-agent "Super Agents," design agent orchestration and automated workflow frameworks, drive LLM integration and prompt engineering best practices, provide technical leadership across cloud-native backend systems, and mentor senior engineers to productionize AI-driven solutions at scale.

The SAP BASIS Consultant will manage ECC and S/4HANA landscapes, handle system administration, performance tuning, and ensure security and backup protocols.

Design, develop, test, and maintain scalable server-side systems using Java Spring Boot. Diagnose performance and scalability issues, produce documentation, implement automated tests and CI/CD, collaborate with cross-functional agile teams, perform code reviews, mentor peers, and translate business requirements into technical solutions.

The role involves developing enterprise applications using Java and Spring, integrating AI features, mentoring junior developers, and collaborating with cross-functional teams.

Lead analytics engineering work to design, build, and maintain dbt-based transformation pipelines, governed metrics/semantic layers, and analytics-ready data marts on Snowflake or Databricks. Ensure data quality with automated tests and observability, support product analytics and ML feature datasets, partner with Product/Engineering, mentor junior team members, and participate in on-call rotations.

Design, implement, and maintain scalable backend services using Golang or Node.js on AWS. Optimize SQL databases, resolve concurrency and performance issues, contribute to CI/CD, collaborate with frontend teams, and continuously improve system reliability and scalability.

Lead end-to-end migrations from IBM DB2 to AWS RDS, including assessment, schema conversion, data migration, performance tuning, AWS RDS configuration, security and backup, runbooks and rollbacks, supporting UAT and production cutovers, and collaborating with application and integration teams.

Customer-facing senior engineer who architects and delivers production-ready big data and AI solutions on Databricks across cloud platforms. Advises customers, builds reusable automation, designs reference architectures, supports migrations, and partners with engineering and support to drive product improvements and adoption.

Own and maintain on-premises MLOps infrastructure to keep ML models reliable in production. Build deployment, monitoring, CI/CD, and tooling; troubleshoot Linux, Docker, and Kubernetes stacks; optimize model performance and throughput; collaborate with data scientists and engineers to productionize research artifacts and uphold high engineering standards.

Design, develop, and deploy AWS cloud-native and serverless applications. Build Lambda-based APIs, microservices, and CI/CD pipelines; integrate with AWS services and third-party tools; implement monitoring, logging, and alerting; troubleshoot production issues; collaborate with customers and teams to meet technical requirements and improve architecture.

Develop and modernize brokerage platform components using Java/Spring Boot microservices and AWS services. Build REST APIs, collaborate with the Core Brokerage Platform team, and support platform enhancements and integrations.

Manage and maintain Linux/Windows servers across multi-account AWS environments including OS lifecycle, patching, hardening, backups, monitoring, vulnerability remediation, EBS/AMI management, and incident RCA while collaborating with DevOps, cloud engineering, and security teams.

Operate and maintain Linux/Windows servers in multi-account AWS environments: OS provisioning, patching, hardening, backups, monitoring, troubleshooting (CPU, I/O, networking), EBS and AMI management, vulnerability remediation, log management, RCA, and collaborate with DevOps/cloud/security teams.

Design, develop, and optimize AWS Glue ETL pipelines integrating data from S3, RDS, Redshift, and other AWS services. Transform data into analytics-ready formats, ensure data quality and security, tune performance, orchestrate workflows (Step Functions/Airflow), monitor jobs, and collaborate with analysts and stakeholders to deliver scalable data lake and warehouse solutions.

Design and implement advanced front-end features including real-time collaboration, live document editing, spreadsheet-like experiences, Kanban views, and reusable UI components. Work closely with a small engineering team to deliver pixel-perfect interfaces, optimize browser features, and demo progress weekly.

Build pixel-perfect UI components and interactions for a SaaS product: implement real-time collaboration, live document editing and spreadsheet-like experiences, Kanban views, and SPA patterns. Work in a small engineering team, solve new front-end problems, and demo progress weekly.

Design, build, and manage cloud infrastructure using IaC; implement observability (SLIs/SLOs, monitoring, logging); improve reliability, scalability, and performance; lead incident response/on-call rotations; build CI/CD pipelines; conduct root cause analysis and system-level debugging on Linux; collaborate across teams to embed NFRs and drive architectural decisions.

Lead design, development, and optimization of backend services and observability platform features. Mentor engineers, drive technical decisions, collaborate with product and cross-functional teams, troubleshoot production issues, and improve deployment, containerization, and performance.

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).