Top AWS Jobs in Chennai

Design and maintain data pipeline architecture, optimize big data processes, implement ML pipelines, and lead teams in data-related projects.

Lead the design and development of advanced Generative AI solutions, managing a team while implementing AI technologies to enhance business outcomes and user experiences.

Operate and administer production Enterprise Linux infrastructure and middleware to ensure availability, security, performance, and observability. Deploy and maintain middleware (proxies, messaging), automate configuration (Ansible), provide L3 end-to-end troubleshooting across OS/network/middleware, lead incident response and RCA, collaborate with development teams on reliability and modernization, and produce runbooks and automation to reduce outages.

Lead quality engineering vision and roadmap across product lines, drive CI/CD and release readiness, embed shift-left/shift-right practices, adopt AI-driven testing, mentor SDET managers, align quality metrics with executives, and architect test strategies for distributed systems and mobile.

Lead full-cycle recruiting for Data, ML, and Software Engineering roles. Source niche senior talent, perform technical screens, partner with engineering leaders, maintain ATS pipelines, and deliver hiring metrics and market intelligence.

Lead a product pod's engineering delivery: plan, estimate, and execute features with high quality and predictable timelines. Bridge product and engineering by reviewing PRDs, guiding technical decisions, enforcing best practices (code review, testing, observability, security), mentoring engineers, collaborating with QA/Design/DevOps, and reducing production issues while managing technical debt.

Design and own architecture for production-grade Generative AI applications. Lead system design across backend, frontend (React), and AI infrastructure for LLM inference, RAG pipelines, and agent workflows. Define technical strategy, standards for prompt design, model integration, observability, and enterprise readiness (security, privacy, governance). Mentor teams, run POCs, review designs and code, and partner with product and business stakeholders to translate requirements into scalable AI solutions.

Lead architecture and delivery of production-grade Generative AI applications. Define technical strategy, design scalable LLM inference and RAG platforms, frontend AI UX, and reusable GenAI components. Ensure security, privacy, governance, and enterprise readiness while partnering with product and engineering teams and conducting POCs and technical reviews.

Own and operate the AI-native platform runtime including Kubernetes (GKE), Terraform, GCP, CI/CD, observability, orchestration (Temporal, Kong). Improve reliability, performance, cost, multi-tenant provisioning, developer experience, and lead on-call and incident response.

Own and operate the production infrastructure and delivery platform for AI products. Implement infrastructure-as-code, run Kubernetes, manage CI/CD, ensure security, reliability, observability, and compliance (single-tenant, SOC 2). Build automation and guardrails to enable safe, fast shipping.

Lead design and delivery of Python-based applications, architect scalable systems, mentor developers, implement CI/CD and cloud containerization, ensure secure, high-performance integrations and compliance with financial regulations.

Senior-level applications developer responsible for designing, building, testing and supporting Oracle EBS solutions (Purchasing, Payables, GL, Fixed Assets, Project Accounting). Leads development lifecycle, advises stakeholders, mentors junior analysts, implements security controls, integrates web services and Gen-AI APIs, and manages project delivery and operational support.

Lead design, development, testing, deployment, and support of Python-based applications. Provide technical leadership, architecture, code reviews, mentoring, CI/CD and cloud-based deployments, ensure secure coding and compliance, and collaborate with stakeholders to deliver resilient, scalable systems.

Lead design and delivery of Python-based applications, architect scalable distributed systems, mentor developers, define coding/testing standards, integrate systems, troubleshoot complex production issues, and drive compliance and secure development practices.

Design, build, and operate reusable Salesforce platform capabilities, integrations, CI/CD, monitoring, and security controls. Support governance, DevOps, containerized API services (ECS/Kubernetes), observability, and enablement for multiple product teams while participating in architecture, incident resolution, and platform roadmaps.

Design and develop the PMAT platform, contribute to solution architecture, data model and integrations, support Agile delivery with Azure DevOps, and translate project management processes into platform requirements while collaborating with stakeholders.

Pre-sales Technical Solutions Architect for Linode/Akamai leading cloud solution design, driving customer acquisition and account growth, collaborating with sales, evangelizing APJ use cases, influencing product roadmap, and building technical thought leadership. Guides customers through cloud transformation and ensures continuous Linode consumption.

Design and build batch and real-time data ingestion pipelines, ETL/ELT solutions, data lakes and warehouses. Develop and optimize data models and microservices using Spring Boot. Ensure data quality, governance, security, observability, CI/CD, and cloud-native deployment on Azure/AKS. Collaborate across teams and support operational monitoring and performance optimization.

Lead design and delivery of scalable, secure enterprise e-commerce architectures. Own integrations (ERP, PIM, payment), guide cross-functional technical teams, produce architecture blueprints, conduct code and architecture reviews, and advise clients on platform strategy and emerging e-commerce technologies.

The Software Engineer - Infrastructure will improve IAC and incident response, manage AWS services, deploy Kubernetes resources, and design CI/CD pipelines.

The Enterprise Architect leads the design and implementation of enterprise data solutions, working with clients to align data strategies with business goals, ensuring compliance and performance, and mentoring teams.

Lead decomposition of a PHP monolith into Go microservices, design and operate scalable distributed systems (Kafka, Temporal, OpenSearch, Memgraph), integrate network telemetry and third-party APIs, maintain Terraform-managed cloud infrastructure, enforce SLAs/SLOs and CI/CD quality, mentor engineers, participate in on-call rotations, and drive platform architecture and reliability.

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.

The role involves leading threat identification, conducting proactive threat hunts, designing detection rules, mentoring junior analysts, and collaborating globally to enhance cybersecurity posture.

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.