Software Engineering Team Lead

Quest Analytics is dedicated to making healthcare more accessible for all Americans. As a Software Engineering Team Lead, you will provide technical leadership, mentor engineers, and design scalable software solutions while collaborating with cross-functional teams to address complex technical challenges.

Responsibilities:

• Design, develop, and maintain scalable, reliable, and secure software solutions
• Write clean, maintainable, and efficient code while reviewing contributions from other developers to ensure quality
• Analyze complex technical challenges, provide innovative solutions, and optimize performance
• Communicate effectively with technical and non-technical stakeholders at all levels
• Manage work independently while meeting tight deadlines in a fast-paced environment
• Participate in the training and/or mentoring programs as assigned or required
• Adheres to the Quest Analytics Values and supports a positive company’s culture
• Responds to the needs and requests of clients and Quest Analytics management and staff in a professional and expedient manner
• Other Duties As Assigned

Requirements:

• Bachelor's or master's degree in computer science, software engineering, or a related field
• 7+ years of professional experience in software engineering, preferably at a healthcare SaaS environment
• 3+ Years of experience leading engineering projects or teams
• Worked previously in an Agile, product-focused, and deadline-driven environment
• Understanding of modern software development practices, including Agile, CI/CD pipelines, and unit testing. (preferably XUnit)
• C#, including asynchronous, parallel programming, and optimization
• Deep expertise in cloud development and event-driven architecture (Azure preferred), such as with: Azure: Service Bus, Event Grid, Azure Data Lake Storage (ADLS), API Management (APIM), Azure Functions, Azure DevOps or AWS equivalents
• ORM (preferably Dapper or Entity Framework) implementation/usage experience
• REST APIs development (designing, building, consuming) experience
• HTML, CSS, JS frameworks (preferably React) implementation experience
• Experience with high-volume data processing in multi-tenant, client-facing environments
• Performance optimizations in SQL Server (or other relational database) with large data volumes, including indexing and query plans
• Self-motivated and able to work in a fast-paced, deadline-oriented environment
• Excellent troubleshooting, listening, and problem-solving skills
• Proven ability to solve complex issues
• Customer focused
• Works well in a team environment
• Experience leveraging AI tools (Claude preferred) throughout the SDLC preferred but not required
• Experience with modern data platforms (Azure Data Factory, Snowflake, Databricks, etc.) preferred but not required