Top AWS Jobs in Chennai

The Senior Site Reliability Engineer ensures the availability, performance, and security of Drivetrain's SaaS platform, managing multi-cloud infrastructure, optimizing CI/CD pipelines, and driving automation.

The Frontend Engineer will create responsive user interfaces, work closely with design and product teams, and ensure performance of products.

Drive technical pre-sales engagements by defining customer challenges, delivering demos, workshops and PoC support, and mapping solutions to Couchbase. Act as trusted technical advisor to developers, architects and executives, collaborate with sales, product and engineering, and produce technical collateral and architectures to ensure successful adoption.

Lead R&D efforts to discover, prototype, and de-risk technologies across backend, web, mobile, cloud, and emerging platforms. Drive PoCs, define handoff models to product engineering, influence architecture and platform strategy, and ensure security and compliance of research outcomes.

Lead design, delivery, and operational support of large-scale cloud-native data platforms (Snowflake, AWS, Azure). Architect solutions, mentor engineers, manage multiple customer accounts, optimize performance, automate operations, and present technical recommendations to executives.

Lead end-to-end architecture and delivery of enterprise-scale End User Computing solutions across Citrix, VMware Horizon, Workspace ONE, and AWS/Azure. Serve as technical authority for multi-cloud VDI, identity and access integration, security/zero-trust design, performance optimization, governance, and pre-sales solutioning while mentoring engineering teams and engaging with executive stakeholders.

The Site Reliability Engineer will develop support strategies, collaborate across teams, conduct RCA on issues, and improve system monitoring.

The Senior Engineer supports and optimizes .NET applications by troubleshooting issues, collaborating with teams, and improving application performance, all while managing the application lifecycle.

The Senior Business Analyst will analyze customer needs, liaise with internal tech teams, conduct business impact analysis, and support implementation in a fintech environment.

Design and build internal AI-powered tooling and agentic workflows end-to-end: backend services, data pipelines, lightweight frontends, CI/CD, cloud deployment, MCP integrations, RAG/knowledge-graph/vector DB systems, and integrations with GitHub/Jira/Confluence to accelerate AI-assisted engineering workflows.

Serve as the Delivery team's Business Analyst focused on card-scheme compliance and client implementations. Analyze and track Visa/Mastercard mandates, lead cross-functional impact assessments, translate customer needs into technical and functional specifications, oversee testing and certification, coordinate deployments, troubleshoot production issues, perform root cause analysis, and mentor junior staff while improving internal processes and product capabilities.

Design, implement, and optimize enterprise CI/CD pipelines and cloud-native infrastructure. Lead GitHub Enterprise migrations, embed DevSecOps practices (SAST/DAST, scanning, secrets management), automate IaC with Terraform, manage artifact repositories, operate Docker/Kubernetes platforms, and mentor engineers to standardize CI/CD frameworks and improve delivery, reliability, security, and performance.

Lead design and implementation of scalable, secure cloud data platforms and migrations across AWS/Azure/GCP. Architect data warehouses, lakes, lakehouses; design data models, integrations, ETL/ELT pipelines, governance, performance tuning, and presales workshops while advising stakeholders and documenting solutions.

Design and implement scalable cloud-native architectures across AWS/Azure/GCP, lead and mentor development teams, specify IaC (Terraform/Ansible), guide migrations, ensure security and cost governance, and translate business requirements into maintainable technical solutions.

Lead enterprise operational analytics and advisory for healthcare payment integrity. Consult with C-suite, drive ROI-focused analytics strategy, oversee ML/NLP and Agentic AI delivery, manage talent, and ensure operational KPI and revenue targets.

Lead and manage cloud networking engineering teams to design, develop, test, and automate features for Extreme's Cloud platform. Plan releases, drive execution, ensure quality through reviews and CI/CD, coordinate cross-functional stakeholders, run scrums, handle customer issues, and perform hiring, performance management, and team development.

Design, build, and optimize ETL pipelines and data warehouses using SQL, AWS Glue, and S3. Investigate and resolve data issues, develop Python-based solutions and small web apps, and own requirements, design, and end-to-end delivery for change requests.

Build and productionize quantitative models and ML pipelines for equity research. Source and engineer financial features, develop predictive models, collaborate with analysts to translate methodologies, maintain data pipelines, and document model assumptions to institutional standards.

Lead design and delivery of AWS-native, cloud-hosted SaaS applications for insurance. Define architectural standards, design microservices and serverless solutions, drive CI/CD and observability, mentor teams, and ensure secure, scalable, high-performance full-stack systems.

Ownership of platform reliability and incident response across cloud infrastructure. Improve observability, CI/CD pipelines, deployments, developer experience, and operational tooling. Act as primary on-call platform expert, collaborate with product teams, and run postmortems to raise platform reliability.

The Senior DevOps & SRE Engineer will automate processes, manage deployments, support infrastructure, create monitoring solutions, and assist with customer demos and POCs.

Lead design and implementation of secure, scalable public cloud solutions using DevSecOps practices. Develop and manage Terraform/TFE infrastructure-as-code, drive cloud networking and landing zone design, support AWS (and Azure) environments, implement CI/CD and automated policy controls, and mentor junior engineers to build cloud engineering capability.

Design and architect cloud-native data platforms and analytics ecosystems (including lakehouse and data mesh). Lead discovery workshops, translate requirements into scalable secure solutions, advise clients, support presales/RFPs, guide implementation teams, and promote standards, governance, and reusable assets across Data & Analytics and AI projects.

This role involves managing and automating infrastructure, deploying applications, ensuring system availability on cloud platforms, and collaborating with cross-functional teams.

Design AI-driven automation solutions and agentic architectures, integrate AI with enterprise systems, lead AI initiatives, and mentor engineers.