Top AWS Jobs in Chennai

Design and build a greenfield, multi-layer data warehouse and semantic metrics layer; separate analytics from OLTP; ensure data quality, traceability, tenant isolation, and high SLAs; enable linking of structured records to drone imagery/video; deliver self-service data access, observability, and infrastructure automation to scale across products and tenants.

Design, build, and own microservice-based backend services using Java and Spring Boot. Build REST APIs, implement event-driven systems, integrate message brokers, design MySQL schemas, optimize performance, collaborate across teams, and maintain scalable, highly available backend services.

Customer-facing Deployment Engineer responsible for installing, configuring, upgrading, and supporting Cellebrite solutions across on-prem, cloud, and hybrid environments. Performs pre/post deployment validation, troubleshooting, automation with IaC, documentation, user training, incident response, system upgrades, and works closely with engineering, product, sales, and customer success. Supports India/APAC customers with up to 50% travel.

Lead design and governance of secure, scalable multi-cloud and hybrid architectures. Define reference patterns, drive cloud migrations, implement IaC and observability, ensure security/compliance and operational excellence, and guide delivery teams on resiliency, cost optimization, and CI/CD enablement.

As a Full Stack Engineer, you'll build user-friendly features and robust systems, collaborate with teams, maintain APIs, and ensure platform security and scalability.

Lead architecture, design, build, and maintain scalable full-stack systems. Collaborate with cross-functional teams, drive best practices, write clean test-covered code, participate in reviews, troubleshoot issues, and adopt new technologies to improve analytical SaaS solutions.

As a Backend Engineer, you will design and implement scalable platform services, manage APIs, microservices, and ensure operational excellence in a cloud environment.

Design, implement, and mature a quantitative-leaning enterprise risk program spanning information security, AI, and operational risk. Own the living risk register, run cross-functional risk identification, leverage AI to monitor and analyze risk, support TPRM, produce executive reporting, and embed risk controls and KRIs into live data sources and workflows.

Provide hands-on technical support to customers deploying, operating, and scaling ArangoDB-based AI systems. Diagnose issues, optimize queries and performance, configure deployments across Kubernetes and cloud/on-prem, debug networking/storage, script automations, and document solutions while collaborating with Product and Engineering.

As a Senior AWS Cloud Engineer, you will design and implement AWS cloud infrastructure, automate deployment, optimize systems, and lead client collaboration on migration strategies.

Ensure platform reliability and scalability by collaborating with development teams to design infrastructure and CI/CD pipelines, build monitoring/alerting, troubleshoot production incidents, participate in on-call rotations, automate configuration and deployments, maintain upgrades, improve security/compliance, mentor junior engineers, and drive process and organizational improvements.

Lead design and implementation of IDMC-based data integration solutions. Build and optimize ETL/ELT pipelines, integrate SCADA/IoT/ERP/market data, enforce data quality and governance, mentor developers, monitor production pipelines, troubleshoot issues, and evaluate new IDMC features to support analytics and regulatory needs.

Drive technical partnerships with AWS Solutions Architects by building relationships, creating enablement content, delivering workshops and demos, troubleshooting integrations, supporting joint opportunities, and producing thought leadership to grow Supabase adoption on AWS.

Lead insider risk and data loss investigations from triage to closure, operate and tune DLP across environments, build detections and workflows, partner with HR/Legal/Compliance/IT, mature insider risk program, support audits, and mentor others.

Lead manual and automated QA activities including test planning, exploratory and regression testing, automation framework development, cross-browser and performance testing, AI-driven test case generation, defect tracking, and CI/CD integration to ensure scalable, compatible, and high-performing software releases.

Drive enterprise SaaS/security sales by developing territory plans, qualifying inbound/outbound leads, managing CRM opportunities, collaborating with product and sales engineering, forecasting and exceeding quota, and building relationships with key decision makers in cloud and DevOps environments.

Design and presales of end-to-end AI/HPC infrastructure: size GPU clusters, storage, networking, Kubernetes/container platforms, integrate liquid-cooled racks with facility constraints, validate solutions with OEMs, and support delivery for scalable, operable AI deployments.

Build and maintain data pipelines and integrations connecting customer systems to Rocketlane. Model and clean messy data, write Python scripts, work with REST APIs and LLMs, debug integrations, join customer discovery calls, and feed recurring learnings back into product and reusable templates.

The Principal UI Engineer will develop front-end applications for AI-driven cybersecurity solutions, lead UI development, conduct code reviews, and collaborate with teams to enhance software quality.

Provide front-line technical support for a portfolio of small-to-mid customers: troubleshoot platform/configuration/integrations, assist onboarding, prepare technical materials, co-lead workshops, document runbooks, and escalate product issues. Build cloud (AWS/Azure/GCP) and cloud-security knowledge while working with CSMs, Support, and Engineering.

Lead administration and support of corporate Microsoft infrastructure, VDI/RDS access platforms, virtualization, storage, backups, and cloud services. Perform AD domain/forest migrations, replace legacy VDI and load‑balancing stacks, maintain documentation, resolve incidents to SLA, participate in projects and on‑call rotation, and collaborate with NOC, InfoSec, DevOps, and L2 teams.

Design and build agentic AI solutions and complex agent workflows using Python. Train and deploy models on AWS or other cloud, build prototypes with Streamlit/Gradio, apply MLOps, collaborate in Agile/Scrum with Git and JIRA.

Design, develop, and maintain Java/J2EE applications using Spring and Web Services (REST/SOAP) on AWS. Take ownership of assigned tasks, participate in design and analysis, contribute to modernization efforts, and optionally work with Kafka, Angular, and Gen AI. Use CI/CD and observability tools as needed.

Develop and maintain backend services using Java Spring Boot and Node.js, design and implement REST APIs, work with AWS, and manage Oracle and PostgreSQL databases. Angular/UI exposure is a plus.

Design, implement, and maintain front-end and APIs for the Customer Experience Platform. Work on security system management, customer account management, camera diagnostics, and Help Center features. Build and maintain web applications and services within a microservices architecture using Node.js/TypeScript, React, AWS, CI/CD, and SQL/NoSQL databases while collaborating in agile teams.