Top Tech Jobs & Startup Jobs in Chennai

Design, build, test, deploy, and support HL7 interfaces and integration solutions. Analyze exchange requirements, troubleshoot interfaces, document work, participate in project calls, handle go-lives, and perform ongoing maintenance and provider enrollments. Provide on-call support in a 24/7 environment.

Lead product vision, strategy, and roadmap for prospective risk-adjustment products. Translate regulatory and coding insights into product strategy, mentor Product Managers, engage with risk-adjustment clients across India delivery sites, and drive use of enterprise AI tools to streamline workflows and innovation.

Support product and delivery teams by defining features, user stories, and acceptance criteria; manage backlogs in Rally; lead discovery, grooming, PI planning and design reviews; coordinate cross-functional teams for production issues, regulatory readiness, and EPS O&M; produce release documentation and act as SME for pharmacy-related product functionality.

Own and manage feature, O&M, and defect backlogs; translate business requirements into user stories and acceptance criteria; lead discovery, grooming, and design review meetings; coordinate with engineering, technical writers, and customers to drive sprint execution and deliver customer-sponsored initiatives; document process flows, prototypes, release notes, and help guides; act as SME for internal and customer queries, testing, and training knowledge transfer.

Design, build, and operate production-grade GenAI/LLM systems: RAG pipelines, agentic multi-agent orchestration, vector DBs, LLM integrations, observability, PII redaction, and deployment using AWS Bedrock, FastAPI, Docker and monitoring tools. Collaborate on architecture docs and CI/AI evaluation frameworks.

Lead design, development, testing, and delivery of scalable, enterprise-grade software and microservices. Define architecture, conduct code reviews, mentor engineers, participate in sprint planning, and ensure CI/CD, testing, performance optimization, and production incident resolution. Build AI-powered solutions using no-code/low-code and advanced platforms and drive continuous improvement while collaborating with cross-functional teams.

Lead full-stack engineer developing micro-products and UIs on Azure using Java/Spring, React/Angular, and TypeScript. Work with Oracle/MySQL, support production deployments, and apply enterprise AI tools to streamline workflows and improve product delivery.

The Data Engineering Consultant will design and implement scalable data pipelines, develop data transformations using PySpark, optimize Databricks performance, and manage data orchestration and scheduling tools like Apache Airflow in the Azure ecosystem.

Lead endpoint engineering and operations for a dual UEM environment (MECM/SCCM + Intune). Own patching, client health, vulnerability remediation, OS deployment, automation with PowerShell, incident/ITSM participation, and pilot AI-assisted reliability improvements while ensuring security and compliance.

Implement, maintain, and support HL7 interfaces between customers and Optum integration platforms. Analyze requirements, design, build, test, document, deploy, and troubleshoot interfaces; perform maintenance, provider enrollments, validation, go-live support, and customer interaction. Participate in project meetings and on-call rotation.