Top Tech Jobs & Startup Jobs in Chennai

Lead and manage software engineering teams while ensuring code quality and timely delivery of enterprise-grade applications, providing technical oversight and mentorship.

Manage end-to-end US healthcare AR collections and denial/appeals processes, lead a 20–70 person team, drive KPI improvement (DAR, aging, denial rate), coordinate with payers and clients, implement process improvements and ensure HIPAA/compliance adherence.

Design, build, and deploy micro‑products on Azure using React/Angular frontends and Spring/Java backends. Work with TypeScript, Oracle/MySQL, support production deployments, troubleshoot root causes, and improve overall software quality.

Lead and mentor engineering teams to design, build, and deliver scalable .NET/Java full‑stack solutions. Drive architecture, code quality, automation, DevOps, cloud native patterns, product roadmaps, and technical debt reduction while collaborating with stakeholders and applying AI/ML where appropriate.

Design and operate Azure + Databricks lakehouse architectures; build batch and streaming ingestion pipelines with CI/CD, data quality, CDC, and observability; model curated datasets and semantic layers for Power BI; enforce security, compliance, and cost-optimization; collaborate with product owners and data stewards to certify enterprise datasets.

Analyze and resolve user tickets, profile source systems, design ETL mappings, develop and support ETL pipelines in Azure (ADF/Databricks), perform SQL performance tuning, create test cases and technical documentation, lead and mentor the team, and apply AI/ML techniques to accelerate the SDLC.

Design, build, and operate cloud-native DevOps/SRE solutions on Azure. Implement CI/CD, IaC (Terraform/Bicep/ARM), containerization (Docker, AKS), GitOps, observability, security, automation (Python/PowerShell), cost management, and runbooks to ensure reliable, secure deployments and incident response.

Design, build, and operate scalable, cloud-native data pipelines, platforms, and production backend services. Implement data models, orchestration (e.g., Airflow), CI/CD, and IaC practices. Ensure reliability, performance, monitoring, and mentor junior engineers while collaborating on architecture and deployments.

Lead a full stack development team focusing on Java and Angular. Provide technical support, drive quality, and optimize workflows while understanding user needs and end-user pain points.

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.