Top AWS Jobs in Chennai

Lead the company’s IT and information security foundation, including cloud and on-premises infrastructure, HPC systems, servers, endpoints, networking, remote access, backups, disaster recovery, security monitoring, compliance, Google Workspace, and IT support operations. Build scalable policies, systems, and processes from scratch while managing infrastructure performance, asset lifecycles, cybersecurity, and employee technical support.

Lead design, develop, test, and deploy scalable Java/Spring Boot cloud-native applications on AWS/Azure. Integrate AI/ML, build full-stack solutions with ReactJS, enforce code quality, mentor engineers, champion DevOps/security practices (Kubernetes, Docker, CI/CD, Git), and design compliant KYC/AML banking solutions.

Develop scalable full-stack applications using Java, React.js, Spring Boot microservices, Kafka, and AWS. Responsibilities include REST API development, cloud deployment, CI/CD, database integration, performance optimization, security, monitoring, logging, and production-ready code delivery. The role requires expertise in Java concurrency, event-driven architecture, Docker, Jenkins, Redis, observability tools, and SQL databases.

Build foundational AI and machine learning capabilities for Twilio’s Conversation Memory team. Responsibilities include researching LLM orchestration, retrieval, personalization, and autonomous agents; designing rapid experiments; and developing scalable, production-grade ML systems using cloud services, high-volume data, streaming, and real-time inference. The role also requires technical leadership through mentorship, design reviews, and engineering standards without formal management authority.

Build production-grade machine learning systems for Twilio’s Customer Memory Team. Responsibilities include researching LLM orchestration, retrieval, personalization, autonomous agents, and statistical ML; designing experiments; deploying scalable cloud services; and integrating AI development stacks. The role requires end-to-end ownership of ambitious ML systems, technical leadership through mentorship and design reviews, and collaboration in an ambiguous, fast-paced environment.

Build foundational AI and machine learning capabilities for Twilio’s Customer Memory platform. Responsibilities include researching LLM orchestration, retrieval, personalization, and autonomous agents; designing rigorous experiments; and deploying production-grade ML systems at scale. The role requires end-to-end ownership, cloud-based services, high-volume or real-time inference, technical leadership, mentorship, and collaboration across globally distributed teams.

Designs, develops, implements, and supports enterprise-scale middleware integrations using Boomi and MuleSoft. Builds connectors, workflows, pipelines, APIs, and event-driven integrations across SAP, Kafka, Salesforce, and relational databases. Establishes architecture patterns for highly available and fault-tolerant systems, deploys cloud-based runtimes and containers, monitors platform health, resolves production issues, and drives continuous improvement. Collaborates with cross-functional teams, leads complex initiatives, defines processes, and mentors colleagues.

Define and execute enterprise technology architecture strategy across application, platform, infrastructure, integration, data, and cloud domains. Establish architecture standards, governance frameworks, review boards, and operating models while guiding modernization, microservices, API-driven systems, Azure cloud adoption, data platforms, AI/GenAI, automation, security, and cost optimization. Partner with business, product, engineering, and senior leadership to align technology decisions with business value, scalability, compliance, and innovation.

Provides global technical support for AlgoSec customers and partners, troubleshooting cloud infrastructure, Linux systems, applications, networking, security environments, and enterprise software. Investigates complex issues, coordinates with Support, R&D, Delivery, Product, and Sales teams, manages cases through resolution, and develops scripts and automations to improve support efficiency and reliability. Maintains technical documentation and contributes to support process improvement while working flexible hours in a 24x7 organization.

Build and operate multi-cloud infrastructure across AWS and Azure, maintain Kubernetes clusters and Helm deployments, and develop GitOps, CI/CD, and infrastructure-as-code automation. Improve reliability through observability, SLI/SLO tracking, incident response, capacity planning, cost optimization, and resilience initiatives. Participate in on-call rotations, postmortems, documentation, and mentoring while supporting high-traffic payments, loyalty, and fuel-pricing platforms.

Manage and optimize enterprise AWS cloud infrastructure, including EC2 and RDS, while ensuring availability, performance, security, compliance, and cost efficiency. Monitor systems, respond to alerts, lead incident response and root cause analysis, perform deployments and security patching, and maintain operational documentation. Serve as a customer-facing communication lead by running governance meetings, providing status updates, coordinating stakeholders, and driving remediation and technical debt reduction.

The DevOps Engineer III designs and operates cloud-native platforms, CI/CD and GitOps workflows, Kubernetes environments, reusable Terraform/OpenTofu infrastructure, and engineering automation. Responsibilities include AWS infrastructure implementation, observability, complex troubleshooting, reliability improvements, AI-enabled automation, developer self-service, and platform enablement. The role mentors engineers, leads technical workstreams, contributes to design decisions, and participates in operational readiness and on-call activities.

Designs and operates scalable batch and streaming data pipelines, ETL/ELT frameworks, data models, APIs, and cloud-native services supporting ADAS and autonomous-driving solutions. Ensures data quality, security, governance, observability, and reliability across AWS or Azure platforms. Partners with AI/ML and MLOps teams to deliver production-ready datasets and features, while contributing to architecture, CI/CD, infrastructure automation, technical standards, and mentoring.

Build and maintain scalable data integration systems, including web scrapers, API integrations, automated ingestion workflows, microservices, and backend services. Implement monitoring, logging, alerting, security, and error handling; troubleshoot production issues and optimize performance. Collaborate with product managers, engineers, and stakeholders on technical design, code reviews, documentation, and continuous improvement.

Designs, automates, deploys, and operates secure, repeatable cloud infrastructure environments. Responsibilities include Infrastructure as Code, CI/CD pipelines, cloud security and access controls, secrets management, monitoring, vulnerability scanning, backup and disaster recovery, production upgrades and rollbacks, Linux administration, troubleshooting, incident management, and creating technical documentation, test evidence, runbooks, and operational procedures.

Designs, develops, tests, deploys, and maintains scalable Java Spring Boot microservices and distributed cloud systems. Contributes to architecture, technical strategy, roadmaps, monitoring, testing, and continuous integration. Troubleshoots complex application issues, collaborates with product and engineering teams, estimates delivery work, and mentors junior engineers. The role also documents current and future-state processes and recommends technical improvements. GCP experience is preferred, including Cloud Run, GKE, Pub/Sub, Cloud SQL, and BigQuery.

Own customer audit journeys from gap assessment and readiness through external audit fieldwork, remediation, findings resolution, and closure. Assess security controls, cloud environments, policies, and evidence; develop risk-based remediation plans; coordinate customers and independent auditors; track requests and risks; and support SOC 2 and ISO 27001 audits. Improve scalable audit playbooks and workflows while collaborating across technical and executive stakeholders.

Build lightweight web applications and REST APIs connected to transport analytics data systems. Query and transform warehouse data for analytical tools and operational dashboards, while experimenting with agentic AI, LLM integrations, and intelligent automation. Collaborate with product and business stakeholders to develop reliable solutions and rapidly prototype customer-impacting features. Success includes reducing costs, supporting revenue growth, and improving customer satisfaction through better performance and data visibility.

Senior Site Reliability Engineer responsible for designing and maintaining scalable infrastructure, deployment processes, monitoring platforms, and automation for distributed systems. The role improves reliability, performance, observability, and operational efficiency through Linux administration, scripting, infrastructure as code, CI/CD, Kubernetes, cloud platforms, and monitoring tools. The engineer collaborates with internal teams to resolve technical challenges, safely deploy software, and drive continuous improvement.

Design, develop, and maintain scalable, high-performance Golang APIs and backend services. Deploy and manage applications in cloud environments, build microservices and message-oriented middleware, and ensure reliability, security, and code quality. Participate in code reviews, testing, continuous integration, task estimation, and performance optimization while delivering robust software on schedule.

Develop and lead comprehensive automated testing across API, backend, and UI components using Selenium and Java. Build scalable test frameworks, integrate automation into CI/CD pipelines, conduct troubleshooting and root cause analysis, support Agile/Scrum delivery, and drive defect triage and quality improvements. Collaborate with technical and product stakeholders, mentor junior engineers, communicate quality metrics, and provide testing recommendations for enterprise identity and access management solutions.

Develop and close strategic mid-market and enterprise business for Build.io in the US. Own the full sales cycle, including prospecting, discovery, technical evaluation, negotiation, procurement, and closing. Build relationships with technical and executive stakeholders, manage pipeline and forecasting, drive account expansion, and help shape the company’s enterprise go-to-market strategy.

Lead DevOps Engineer responsible for managing DevOps pipelines across internal and customer environments, conducting DevSecOps research, automating and optimizing infrastructure, reducing costs, maintaining environments, and supporting onsite implementation teams. The role requires AWS, Kubernetes, Docker, CI/CD, Terraform, security testing, observability, database, scripting, and performance engineering experience.

Designs, develops, and operates scalable backend services, APIs, data integrations, and microservices. Owns domain architecture, database performance, reliability, observability, incident response, security, testing, and roadmap delivery. Leads design reviews, improves engineering standards, mentors backend engineers, and collaborates with product and global teams. The role requires technical leadership, strong system design, cloud infrastructure experience, and production operation of large-scale consumer applications.

Own the GRC engineering program by building continuous control monitoring, common controls frameworks, automated evidence collection, control validation, risk workflows, asset prioritization, and audit-ready reporting. The role integrates identity, cloud, code repositories, endpoints, and ticketing systems; develops policy and control checks in code; guides AI-assisted compliance workflows; tracks program metrics; and represents the technical implementation during audits.