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We seek a Technical Lead to design and deliver enterprise applications using .NET Core, ReactJS, and Azure, providing technical leadership and mentoring.

The Client Services Manager acts as the main contact for healthcare partners, ensuring high client satisfaction while managing program execution and operational performance through collaboration and data analysis.

Design, develop, and execute performance, load, stress, endurance, and spike tests (Apache JMeter). Analyze application, database, and infrastructure performance; identify bottlenecks. Integrate tests into CI/CD, monitor with APM tools, produce reports with root cause analysis and recommendations, and collaborate with dev/ops teams to validate scalability and reliability.

Design, build, and maintain Playwright TypeScript UI automation frameworks; create and run API and gRPC automated tests; perform database validation with SQL; integrate tests into CI/CD; participate in Agile ceremonies; identify and track defects; collaborate with developers, product, and DevOps to improve test coverage and product quality.

As a Database Engineer, you will build and optimize ETL/ELT pipelines using Azure tools, ensure data governance, and collaborate across teams.

Lead the development and execution of product roadmaps, analyze market trends, collaborate with cross-functional teams, and deliver impactful solutions in Healthcare-FinTech.

Lead design and build scalable ETL/ELT pipelines using Azure Databricks, PySpark and Delta Lake. Implement Unity Catalog governance, support real-time and batch processing, write T-SQL, develop unit tests, troubleshoot production issues, and collaborate with scrum teams and product owners.

Manage and optimize on-premises and cloud network infrastructure (routers, switches, firewalls, SD-WAN, VPNs). Troubleshoot connectivity and performance, support hybrid cloud networking (Azure/AWS/GCP), implement secure configurations and segmentation, maintain documentation and diagrams, participate in change management, and support automation/IaC initiatives to improve reliability and operations.

Design, build, and optimize orchestrated data pipelines using dbt, Airflow, Azure Databricks, PySpark, SQL and Python. Implement CI/CD and automation, ensure data quality, perform ad-hoc analysis and reporting, collaborate with cross-functional teams, and troubleshoot DAG failures to support data-driven decision-making.

Lead design, build, deploy, and monitor enterprise-scale AI/ML and Generative AI systems. Own end-to-end ML pipelines, scalable inference, vector search and RAG applications, MLOps, observability, governance, CI/CD, model lifecycle management, and production support. Mentor teams, collaborate with stakeholders, and optimize AI systems for scalability, latency, reliability, and cost.