Top AWS Jobs in Chennai

Designs and develops scalable automated testing solutions for carrier-grade, cloud-native network products. Responsibilities include building functional, regression, performance, and end-to-end test suites; integrating testing into CI/CD pipelines; applying AI/ML for test generation, anomaly detection, defect prediction, and self-healing automation; analyzing network and test data; and collaborating with development, product, and QA teams.

Build and productionize customer data and AI solutions on Databricks. Own architecture, design, coding, deployment, and integration of data pipelines, ML/AI models, and applications. Lead customer technical projects, guide architecture decisions, manage delivery scope and timelines, train stakeholders, resolve implementation issues, and create reusable frameworks. Collaborate with engineering, product, project management, support, and customer teams while traveling to customers approximately 20% of the time.

Designs, builds, and manages scalable clinical data pipelines supporting clinical trials. Responsibilities include ingesting, integrating, transforming, validating, and delivering data from EDC/eCRF, CTMS, and other source systems into data lakes and warehouses. The role requires Python, SQL, AWS, Spark, Airflow, APIs, and CI/CD expertise, along with clinical data workflow knowledge, data quality and traceability practices, and collaboration with technical and clinical stakeholders.

Develop scalable aviation analytics software and data solutions using Python, SQL, PySpark, Snowflake, and AWS. Responsibilities include designing complex system components and data models, resolving bugs, reviewing code, applying Agile or Waterfall practices, collaborating with stakeholders, and mentoring junior engineers. The role also involves optimizing data workflows, supporting machine learning or statistical analysis, and influencing technical direction.

Maintain and optimize production LLM and VLM services, including Flask/FastAPI microservices, Dramatiq queues, REST APIs, and Uvicorn/Gunicorn deployments. Design prompt strategies, feedback and evaluation pipelines, and AI routing integrations while monitoring latency, token usage, quality, and errors. Collaborate with engineering teams on scalable microservices, Dockerized deployments, CI/CD, security, and cloud infrastructure.

Designs and leads automated and system-level testing for a large-scale distributed database engine. Responsibilities include developing test plans, regression suites, workload and performance testing, CI/QA infrastructure, debugging query behavior, analyzing bottlenecks, improving test coverage, and validating scalability and correctness. The role collaborates with development and leadership teams, supports escalated issues, owns database testing infrastructure, and mentors junior engineers.

Provides technical customer support for Ocient products across cloud and on-premises environments. Responsibilities include handling high-volume tickets, on-call support, issue triage, root-cause analysis, troubleshooting distributed systems, validating issues and features with Engineering, and assisting Level I support engineers. Requires database administration, SQL, Linux/Unix, system administration, log analysis, networking, scripting, and infrastructure experience.

Designs and leads automated and manual testing for a complex browser-based UI. Responsibilities include Playwright-based end-to-end automation, regression, accessibility, responsive and performance testing, backend/API/SQL validation, flaky test diagnosis, CI integration, design review, release sign-off, issue investigation, test strategy, and mentoring junior engineers.

Designs, develops, and modernizes scalable full-stack enterprise applications using Java, Spring Boot, React, and Next.js. Builds microservices, APIs, event-driven integrations, and cloud-native solutions while supporting the full SDLC. Leads architecture discussions, production support, CI/CD and DevOps improvements, system migrations, and performance optimization. Collaborates with stakeholders to implement complex business rules, mentors distributed engineering teams, and ensures software quality, reliability, security, and operational excellence.

Lead design, customization, integration, testing, and support of Finacle 11X core banking (CMS and related modules). Capture requirements, produce BRDs/fit-gap analyses and architecture input, oversee testing, deployments, data quality, and security, mentor team members, and maintain operational documentation and release governance within regulated banking environments.

Own and develop Blitzy’s mission-critical backend systems, cloud infrastructure, and LLM-powered production systems. The role requires hands-on architecture, coding, system reliability, scalability, observability, data architecture, semantic retrieval, and enterprise software modernization. The Principal Engineer will drive complex technical initiatives, establish engineering standards, and contribute across backend, frontend, infrastructure, and AI systems without people-management responsibilities.

Build and maintain pay-related features for VNDLY’s contingent workforce management platform. Design scalable, resilient services covering jobs, worker provisioning, contracts, and integrations. Develop backend services with Python and frontend features with React, using AWS and SQL databases. Contribute to architecture decisions, code quality, and technical collaboration between U.S. and Chennai teams while working independently in a distributed Agile environment.

Leads DevOps strategy and execution across development, QA, and production environments. Builds CI/CD pipelines, manages infrastructure as code, administers container orchestration platforms, and improves system reliability, scalability, security, and performance across cloud and on-premises environments. Collaborates with engineering and operations teams, troubleshoots deployment issues, ensures governance compliance, and mentors junior engineers.

Perform penetration tests and SAST/DAST on web, mobile, and network systems; scope and report findings; integrate security into CI/CD and SDLC; collaborate with teams to remediate vulnerabilities and deliver secure coding training.

Build end-to-end AI agent applications, including React and TypeScript interfaces, backend APIs, enterprise integrations, workflow orchestration, approval flows, dashboards, and human-in-the-loop features. Integrate LLM services, vector stores, databases, and observability tools while implementing secure authentication, RBAC, tenant-aware access, testing, CI/CD, logging, and deployment patterns.

The Lead C# Web Developer will design and develop secure MVC applications, perform coding, testing, and debugging while enhancing web platforms and integrating with vendor systems.

Develops advanced automation scripts and AI engineering solutions using Python and related languages. Integrates generative AI APIs, prompt chains, RAG architectures, and model evaluation into scalable applications and CI/CD pipelines. Builds microservices, APIs, monitoring dashboards, and intelligent process automation while collaborating with engineering, data science, and security teams. The role also emphasizes code quality, testing, responsible AI practices, and production performance optimization.

Manage enterprise vulnerability scanning across networks, cloud environments, and applications. Assess and prioritize vulnerabilities using CVSS, threat intelligence, asset criticality, and business impact; coordinate remediation with IT, engineering, and cloud teams; automate workflows; produce risk and SLA reports; and monitor emerging exploits and mitigation strategies.

Designs, develops, and maintains automated tests and frameworks for web applications using Java, Selenium, TestNG, and JUnit. Performs API testing, integrates test suites with CI/CD pipelines, manages defects, and collaborates with development teams. Participates in requirements analysis, test planning, estimation, and execution while applying Agile, SDLC, and STLC practices.

Owns architecture and technical roadmaps for core backend, infrastructure, and AI platform areas. Writes and reviews production code, resolves complex reliability issues, drives technical initiatives, improves software delivery practices, and mentors engineers. The role partners closely with company leadership and cross-functional stakeholders in an in-person environment while shaping scalable, secure, enterprise-grade systems.

Leads end-to-end development of enterprise AI and LLM applications, including architecture, technical design, Java and Spring Boot backend development, integrations, testing, deployment, and support. Builds generative AI solutions using major LLM providers, prompt engineering, fine-tuning, and agent frameworks. Collaborates with architects and developers to translate designs into scalable microservices, while addressing security, resiliency, databases, containers, Kubernetes, and cloud platforms.

Embed with service teams to define SLIs/SLOs and error budgets, run Operational Readiness Reviews, improve incident-to-improvement pipelines, advise on resilience and architecture, reduce operational toil through automation, and shape org-wide on-call practices and operational maturity.

Design, build, and maintain scalable backend services, REST APIs, distributed data pipelines, and enterprise data ingestion frameworks for a multitenant B2B SaaS platform. Own features from requirements through production, improve scalability and reliability, troubleshoot complex issues, conduct code reviews, mentor engineers, and collaborate with product, architecture, QA, and engineering teams.

Lead technical consultant responsible for the full software development lifecycle, including technical design, implementation, testing, deployment, documentation, and support. Builds enterprise AI and LLM applications using OpenAI, Anthropic, Gemini, agent frameworks, Java, Spring Boot, Python, microservices, databases, containers, Kubernetes, and cloud platforms. Collaborates with architects and developers to translate designs into technical solutions while ensuring security, resiliency, and enterprise architecture standards.

Lead technical consultant responsible for designing, developing, testing, deploying, documenting, and supporting enterprise applications. The role focuses on generative AI and LLM integrations using OpenAI, Anthropic, Gemini, prompt engineering, fine-tuning, and agent frameworks. Responsibilities also include Java and Spring Boot backend development, Python, Oracle, microservices, Docker, Kubernetes, cloud platforms, security, resiliency, and enterprise architecture. Requires 8+ years of software development experience and strong AI/LLM application expertise.