Top AWS Jobs in Chennai

Lead the enhancement of CI/CD and automation frameworks, manage cloud environments, mentor engineers, and solve complex performance issues.

As a Senior Backend Engineer, you will implement ERP data connectors, upgrade backend APIs, maintain data storage, and ensure service stability. You'll collaborate with global teams to enhance data architecture and govern data integrity while utilizing technologies like Go or Python and cloud infrastructures.

The Senior Engineering Manager is responsible for implementing ERP data solutions, bridging business and technical requirements, maintaining system architecture, and collaborating globally with teams to ensure high availability and reliability of services.

Lead design and delivery of end-to-end AI/ML and Generative AI solutions, architect scalable cloud-based platforms, integrate LLM/RAG/agentic systems, implement MLOps and governance, and mentor teams while driving AI strategy with stakeholders.

The Senior Software Engineer will develop and maintain data systems and APIs, enhance data architecture, and ensure data governance while collaborating with global teams.

The Backend Software Engineer will enhance Bloomreach's search infrastructure, develop performance metrics, and utilize machine learning for anomalies detection and relevance improvements.

Lead the architecture and evolution of Bloomreach's Search platform, mentoring engineers, shaping technical strategy, and ensuring system performance and scalability.

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.

Lead automation efforts to reduce backlog, build and maintain scalable UI/API/backend test frameworks, integrate tests into CI/CD, define automation strategy and metrics, mentor QA engineers, and collaborate with US stakeholders to improve release quality and test coverage.

Design, develop, and deploy advanced AI/ML models; manage large-scale data pipelines; build conversational and generative AI solutions; collaborate with stakeholders; monitor and optimize production models; document workflows and implement industry best practices.

Design, secure, and optimize AWS cloud infrastructure using serverless services and granular WAF rules. Implement IaC (Terraform/CloudFormation), CI/CD, monitoring, FinOps cost optimizations, and high-availability/disaster recovery. Collaborate with teams to align cloud architecture with business needs.

Design, build, and optimize scalable data pipelines and models using Spark, Kafka, Airflow, dbt, and SQL across GCP and AWS. Ingest and normalize marketing and analytics data, ensure data quality and governance, support analytics and reporting, and collaborate with cross-functional global teams.

Lead design and implement scalable full-stack solutions using React and Node.js. Own architecture, mentor engineers, enforce coding standards, optimize performance, collaborate with product/DevOps, and ensure security/compliance across services and UIs.

Lead SRE responsibilities for reliability, scalability, performance, monitoring, automation, disaster recovery, DR drills, chaos testing, capacity planning, security best practices, and documentation while collaborating with development and business teams.

Design, operate, and secure scalable batch and streaming data pipelines and platforms. Own ingestion, transformation, serving, data quality, and access controls. Partner with product, risk, compliance, and InfoSec to ensure production reliability, correctness, and audit readiness for financial data.

Lead solution and enterprise architecture for .NET-based systems. Design cloud-native AWS/Azure solutions, microservices, serverless patterns, and RESTful APIs. Oversee databases, DevOps/containerization (Docker/Kubernetes), integration tools, security and regulatory compliance (FedRAMP, HIPAA, FDA), and mentor engineering teams while driving adoption of modern tooling and CI/CD practices.

Design, build, and scale cloud-native Python backend services and data-backed applications. Develop RESTful APIs, microservices, and asynchronous event-driven systems. Deploy and operate production workloads on Kubernetes and at least one public cloud (AWS or Azure). Work with cloud data warehouses (Snowflake or Databricks) and relational databases, ensuring scalable, reliable distributed systems.

This role involves managing and automating infrastructure, deploying applications, ensuring system availability on cloud platforms, and collaborating with cross-functional teams.

Design, build, and maintain scalable backend services and microservices using Go and Python; develop REST/gRPC APIs; integrate databases and cloud services; write tests, perform code reviews, debug production issues, and collaborate cross-functionally.

Lead backend development and ownership of acquiring and payment-processing systems. Build fault-tolerant Go services for authorization, settlement, reconciliation, refunds, and disputes. Integrate with processors/gateways, operate within PCI DSS scope, instrument payment health, use LLM tools like Claude, and mentor engineers while driving production-ready, auditable money-movement flows.

Lead design and hands-on implementation of Elastic Stack Search AI solutions. Deliver architecture, sizing, data modeling, query tuning, cluster scaling, RAG/embeddings, POCs, workshops, and enterprise deployments while collaborating across sales, engineering, and support.

Lead strategic design and hands-on implementation of Elastic Stack observability solutions for enterprise customers. Drive workshops, sizing, architecture, POCs, cluster tuning, data modeling, query optimization, and cross-team collaboration to deliver scalable APM, metrics, logs, and user-experience monitoring. Mentor teams and support sales and product feedback while periodically attending onsite engagements.

As a Senior Data Engineer, you'll design data models, build ETL/ELT pipelines, collaborate with other engineers, and enhance analytics products to support business decisions.

Design, build, and operate high-scale Java microservices and distributed systems. Collaborate with cross-functional teams to define and ship features, participate in code reviews, troubleshoot production issues, document designs, and use GitHub, Jira, and build/deploy systems to manage work.

The Full Stack Engineer will design and maintain internal tooling, develop and support RESTful APIs and microservices, and work in cloud environments, ensuring performance and reliability.