Top Tech Jobs & Startup Jobs in Chennai

Leads the design, development, optimization, and support of ETL/ELT pipelines, cloud data warehouses, data models, and advanced SQL solutions. Partners with analysts, data scientists, and stakeholders to deliver reliable datasets, while implementing testing, documentation, CI/CD, monitoring, and incident resolution practices. Mentors associate engineers and provides technical leadership across data engineering initiatives.

Lead enterprise IAM transformation initiatives across customer identity, workforce identity governance, access management, SSO, and MFA. Architect scalable identity solutions, oversee provisioning and deprovisioning, enforce least privilege, align practices with compliance requirements, assess risks, support incident response, and drive automation and continuous improvement. Collaborate with application, infrastructure, and security stakeholders while managing multiple strategic projects.

Lead the transformation from DevOps to DevSecOps across a large-scale eCommerce platform. Build and manage CI/CD pipelines, containerized applications, infrastructure automation, and cloud environments across Azure and Google Cloud. Ensure system reliability through monitoring, logging, alerting, and production troubleshooting. Collaborate with cross-functional teams, improve engineering practices, provide technical leadership, and mentor junior engineers.

Develop and maintain business intelligence solutions for Asset Protection, Inventory Control, and Claims teams. Build Tableau dashboards, Snowflake datasets, Alteryx workflows, and data pipelines using SQL and related tools. Analyze shipment, inventory, claims, carrier, and loss data to identify trends, root causes, and operational risks. Troubleshoot data quality issues, validate reporting, document processes, support claims recovery, and collaborate with analytics and engineering teams on scalable reporting solutions.

Owns and improves CI/CD pipelines across the Staples Promotional Products application portfolio. Responsibilities include Azure DevOps pipeline standardization, Octopus Deploy and TFS support, GitHub modernization readiness, Azure cloud enablement, deployment automation, DevSecOps integration, troubleshooting, reusable engineering patterns, documentation, and collaboration with development and infrastructure teams across time zones.

Owns enterprise database and data-platform operations across production and non-production environments. Responsibilities include health monitoring, backup and recovery, database refreshes, patching, upgrades, performance tuning, release support, incident response, troubleshooting, documentation, and automation. The role supports SQL Server, SSAS, Azure SQL Database, MongoDB, and Cosmos DB while collaborating with application, infrastructure, security, networking, cloud, storage, authentication, and vendor teams. Scheduled after-hours maintenance and priority incident support are required.

Lead the enterprise data governance strategy, including metadata management, business glossaries, lineage, semantic layers, data products, quality standards, and trust frameworks. Partner with engineering, analytics, AI/ML, architecture, business, and product teams to make data discoverable, governed, and AI-ready. Establish stewardship, ownership, governance councils, certification processes, impact analysis, and controls for AI-generated insights and autonomous agents.

Develop and maintain scalable full-stack .NET applications, integrations, and eCommerce solutions across the software development lifecycle. Design, code, test, troubleshoot, document, deploy, and optimize software components using C#, SQL, JavaScript, MVC, and web technologies. Lead architectural planning, resolve production issues, collaborate with cross-functional and distributed teams, and mentor junior engineers. Apply Azure, AKS, APIs, service-oriented architectures, and cloud technologies while ensuring performance, reliability, compliance, and maintainability.

Supports technical solution development by applying business and technology knowledge under guidance. Helps define customer and partner requirements, identify risks, resolve issues, and promote adoption of cloud and AI technologies. Contributes to assigned projects, develops intellectual property knowledge, and collaborates with customers, researchers, faculty, peers, and internal stakeholders.

Develop, test, and maintain software components with a performance-first approach. Design and execute performance tests, diagnose distributed-system bottlenecks, analyze server and browser performance, and recommend tuning improvements. Collaborate with developers, SREs, QA, and infrastructure teams throughout the SDLC. Contribute to code reviews, troubleshooting, automation, feature design, software quality, and security best practices.