Top Tech Jobs & Startup Jobs in Chennai

Design, develop, deploy, and scale enterprise AI and machine learning solutions, including predictive models, recommendation engines, automation, and model-serving APIs. Build data pipelines and MLOps workflows, monitor model performance and drift, troubleshoot production systems, and implement responsible AI practices. Collaborate with technical and business stakeholders, contribute to architecture and code reviews, and mentor junior engineers while applying cloud-native technologies.

Designs, develops, maintains, and executes automated and manual tests using C#, Selenium, NUnit, Page Object Model, and SpecFlow. Performs functional, regression, integration, API, web application, and database testing. Maintains test cases, reports, automation code, and security patch validation records using Azure and Git. Collaborates with QA, development, and project stakeholders in Agile environments while exploring AI-assisted automation tools such as GitHub Copilot and MCP.

Design, build, and maintain secure enterprise ASP.NET Core applications using .NET 8, Razor Pages, MVC, Azure, Entra ID, EF Core, and SQL Server. Own web development, identity integration, data access, cloud workflows, error handling, logging, configuration, scalability, security, and performance optimization. Translate stakeholder requirements into reliable technical solutions and independently manage solution design and delivery.

Designs, develops, and optimizes Salesforce Commerce Cloud headless commerce solutions. Responsibilities include backend development for storefront, checkout, order lifecycle, promotions, catalog, pricing, custom cartridges, APIs, and third-party integrations. The role leads technical architecture, performance optimization, code reviews, CI/CD support, production troubleshooting, and collaboration with frontend, QA, product, architecture, and integration teams.

Develop and enhance full-stack enterprise applications using C#/.NET, ReactJS, and SQL. Responsibilities include designing modules, building user interfaces, managing databases, writing unit tests, debugging, resolving defects, improving code quality, supporting migrations, maintaining technical documentation, and collaborating with project and technical teams. The role also involves using GitHub Copilot agentic capabilities and SpecKit to improve development productivity.

Conducts stakeholder workshops, gathers and documents business and functional requirements, analyzes current and future processes, identifies improvement opportunities, and develops process and requirements artifacts. Supports medicine demand forecasting, inventory optimization, supply planning, allocation, data requirements, KPI dashboards, UAT, defect tracking, and implementation. Bridges business, supply chain, logistics, and technology teams across Agile or Waterfall projects.

Design, deploy, monitor, and maintain production machine learning systems and end-to-end ML pipelines. Build scalable MLOps frameworks, automate deployments and retraining, manage cloud-native infrastructure and CI/CD, implement IaC, containerization, monitoring, and governance, and collaborate with cross-functional teams to ensure reliable, compliant enterprise AI platforms.

Design and build scalable, responsive, high-performance frontend applications using React, JavaScript, and TypeScript. Develop reusable UI components, integrate with REST APIs, optimize client-side performance and cross-browser compatibility, participate in architecture and code reviews, and collaborate with designers and backend engineers in Agile delivery for e-commerce platforms.

Test and validate end-to-end PIM workflows, data ingestion/enrichment, API and database integrations, and outbound catalog syndication. Create and execute test plans (functional, regression, integration, exploratory, security), manage defects, automate API and regression tests, collaborate with stakeholders, and support UAT and release validation.

Develop, validate, and deploy machine learning and AI solutions using enterprise datasets. Perform EDA, feature engineering, predictive modeling, model evaluation, data pipeline construction, and visualization. Collaborate with engineers and business stakeholders to deliver production-ready analytics and dashboards, and research emerging AI techniques.