Top AWS Jobs in Chennai

Lead technical architecture for fintech and content platforms, ensure scalability, security, and regulatory compliance (SEBI, IRDAI, PCI-DSS), review designs, and guide backend and mobile engineering teams to align delivery with business goals.

Build and ship full-stack features across front-end and back-end systems. Develop Node.js and Python services, REST APIs, data models, and WordPress solutions using PHP. Create React interfaces, integrate internal and external services, manage AWS infrastructure and databases, and maintain code quality through testing, reviews, and documentation. Collaborate across teams, mentor developers, manage multiple agile projects, and independently deliver reliable technical solutions.

Designs and manages AWS and Azure cloud infrastructure, infrastructure-as-code, CI/CD and GitOps pipelines, containerized applications, and production Kubernetes environments. Leads platform modernization, automation, observability, security, disaster recovery, and self-service initiatives. Collaborates with engineering and quality teams, maintains operational documentation, supports distributed systems, and mentors junior DevOps engineers.

Own technical sales activities for Netskope’s cloud security solutions in the Delhi territory. Present architecture and business value to security leaders, deliver product demonstrations, lead evaluations and proofs of concept, respond to RFIs and RFPs, and support sales targets. The role gathers customer requirements, advises on competitive solutions, advocates for customers, collaborates with product and support teams, and requires extensive regional travel.

Build and deploy AI-powered customer solutions across discovery, prototyping, and production. Responsibilities include designing secure multi-tenant and hybrid architectures, integrating identity and access management, encryption, networking, data engineering, CI/CD, observability, and production support. The role partners directly with enterprise customers, executive sponsors, and cross-functional teams to solve ambiguous problems, demonstrate prototypes, and standardize successful solutions. Regular domestic and occasional international travel is required.

Build reinforcement learning environments for coding tasks, develop and deploy production AI agents, and shape technical direction. The role also involves leading engineering growth in a fast-paced startup. Candidates need 3–7 years of engineering experience, strong reinforcement learning fundamentals, experience with coding-focused reinforcement learning, simulated training environments, autonomous agents in production, and AI coding assistants. The position is remote in India with a 5.5-day workweek and Pacific-time overlap.

Leads a 3–6-person AI-focused engineering team while contributing at least 50% directly to software development. Responsibilities include architecture, full-stack coding, code reviews, testing, documentation, mentoring, delivery, and collaboration with product, design, and QA teams. The role requires commercial LLM experience, strong C# and JavaScript development skills, knowledge of databases, REST APIs, microservices, cloud platforms, and software engineering management.

Lead a 10–15-person engineering team building agentic AI systems from the ground up. Set architecture strategy for planning, memory, tool use, multi-agent coordination, guardrails, observability, evaluations, reliability, and safety. Drive adoption of an AI-Driven Development Lifecycle, partner with product managers on ambiguous requirements, oversee delivery and technical reviews, and support hiring, mentorship, career growth, and leadership reporting.

Develop Java and Spring Boot software, REST/SOAP APIs, and cloud-based applications for fraud detection and identity proofing. Work with AWS, databases, Docker, Kubernetes, CI/CD tools, messaging frameworks, and event-based systems. Support Customer Protection Technology initiatives that help verify user identities and prevent fraud.

Develop and optimize Oracle SQL and PL/SQL solutions, including data modeling, performance tuning, OLTP, data warehousing, and ETL/ELT processes. Use Informatica, test automation, CI/CD pipelines, AWS-based Oracle environments, and job scheduling tools such as Autosys or Airflow. Apply strong quality practices while troubleshooting issues and communicating effectively.

Develop software and data warehousing solutions supporting fraud detection and identity proofing. The role involves Java, Python, SQL, Snowflake, Yugabyte, ETL/ELT, cloud deployment, containerization, continuous integration, automated deployments, event-based systems, and structured and unstructured data stores. Responsibilities support AWS-based customer protection technology and may involve Docker, Kubernetes, Jenkins, Kafka, Terraform, and related data platforms.

Develops and supports cloud-based data solutions using AWS services, Python, PL/SQL, ETL, PostgreSQL, and PySpark. Responsibilities include data migration and ingestion, analytical problem-solving, debugging, API integration, and potentially Power BI support. The role requires strong cloud engineering experience and familiarity with AWS S3, Glue, Lambda, and IAM roles.

Build and productionize customer-facing data and AI solutions on the Databricks platform. Own architecture, design, coding, deployment, and technical delivery for scalable end-to-end systems involving data pipelines, machine learning models, and applications. Advise enterprise stakeholders, guide adoption, integrate customer systems, resolve technical issues, and contribute reusable frameworks and product feedback. The role requires strong software and data engineering expertise, customer empathy, project delivery skills, and approximately 20% travel.

Build and productionize customer-facing data and AI solutions on Databricks. Own architecture, design, implementation, deployment, and technical delivery of scalable systems spanning data engineering, machine learning, AI models, pipelines, and applications. Guide enterprise customers, collaborate with engineering and product teams, resolve implementation issues, document solutions, and create reusable accelerators. The role requires customer immersion, stakeholder management, technical project delivery, and approximately 20% travel.

Develop, train, evaluate, and optimize ML solutions and data pipelines; translate business requirements into production-ready ML code; perform feature engineering, model selection, and evaluation; document work, participate in code reviews, and support testing and data issue resolution.

Principal Full Stack Engineer responsible for setting technical direction while remaining deeply hands-on across Laravel, PHP, Next.js, AWS, and GCP. The role owns platform architecture, leads cross-team technical initiatives, improves testing, CI/CD, observability, and scalability, and mentors engineers through influence. Responsibilities also include evaluating AI technologies, supporting event-driven and modular architectures, guiding roadmap trade-offs, and solving complex system-level challenges across product squads.

Design and deliver scalable full-stack SaaS features using Laravel, PHP, React or Next.js, and AWS. Build APIs, integrations, reusable components, tests, and CI/CD improvements while contributing to architecture, performance, accessibility, localization, and compliance. Collaborate with product, design, and QA; provide mentorship; support event-driven architecture and modular monolith evolution; and lead test coverage, documentation, and engineering standards.

Designs and maintains scalable GCP data architectures, BigQuery warehouses, ETL/ELT pipelines, streaming and batch systems, MLOps workflows, and generative AI applications. Builds dashboards and operational interfaces, implements data quality and security controls, optimizes cloud performance and costs, and provides senior L3 support and root-cause analysis. The role also conducts architecture reviews, manages service deprecations, and delivers projects using Agile and Kanban practices.

Build and maintain cloud-native backend services using TypeScript and Node.js on AWS. Develop GraphQL APIs with AppSync, event-driven integrations with SNS and SQS, database solutions across NoSQL and SQL systems, and automated tests. Responsibilities include code reviews, production debugging, documentation, API design, CI/CD, infrastructure as code, authentication, and cross-functional feature delivery. The role requires 1–3 years of experience and familiarity with AWS services, Docker, testing frameworks, ORMs, and AI coding tools.

Leads the design, development, modernization, and delivery of scalable full-stack customer account management applications. Builds Java and Spring Boot microservices, REST APIs, and React/Next.js interfaces; supports cloud-native migration, CI/CD, testing, performance optimization, and production reliability. Partners with stakeholders on complex integrations and business rules, contributes to architecture decisions, and mentors distributed engineering teams.

Lead day-to-day cloud NOC operations across AWS and Azure environments, overseeing monitoring, incident and major-incident response, escalations, handovers, service reporting, and SLA governance. Coordinate L1/L2 teams and stakeholders, manage operational documentation and runbooks, improve alert quality and observability, facilitate problem management, and identify automation and auto-remediation opportunities within an 18x7 managed-services environment.

Provides L2 cloud operations and advanced troubleshooting across AWS and Azure. Responsibilities include diagnosing compute, networking, storage, database, IAM, monitoring, performance, capacity, backup, and availability issues; executing controlled remediation and automation; supporting incident, problem, change, and major incident management; improving monitoring; maintaining runbooks; and participating in rotational 18x7 managed operations.

Develops and maintains Python and PowerShell automation for AWS and Azure cloud operations, integrating monitoring platforms with ITSM workflows and approved remediation. Builds reusable scripts, runbooks, health checks, alert enrichment, and event-driven integrations with strong validation, logging, security, rollback, and approval controls. Tests and governs production automation, maintains version-controlled assets, documents procedures, and identifies NOC activities suitable for automation.

Provides first-line monitoring and incident triage for AWS and Azure environments. The analyst reviews Datadog, CloudWatch, and Azure Monitor alerts, performs initial infrastructure diagnosis, executes runbooks, creates ITSM tickets, escalates unresolved incidents, supports major-incident bridges, and maintains shift handovers and operational reporting. The role also identifies recurring alerts and automation opportunities while working rotating 18x7 shifts.

Designs, delivers, and evolves scalable sales and marketing data platforms, pipelines, and warehouse solutions. Leads Snowflake and dbt development, data modeling, performance, observability, reliability, CI/CD, testing, and DevSecOps practices. Owns complex initiatives through production, mentors engineers, partners with product and analytics stakeholders, leads incident investigations, and evaluates AI-assisted engineering technologies.