Lead, Software Engineer

Job Description

Qualifacts is a leading provider of behavioral health software and SaaS solutions for clinical productivity, compliance and state reporting, billing, and business intelligence. Its mission is to be an innovative and trusted technology and end-to-end solutions partner, enabling exceptional outcomes for its customers and those they serve. Qualifacts’ comprehensive portfolio, including the CareLogic®, Credible™, and InSync® platforms, spans and serves the entire behavioral health, rehabilitative, and human services market supporting non-profit Certified Community Behavioral Health Clinics (CCBHC) as well as for-profit large enterprise and small business providers. Qualifacts has a loyal customer base, with more than 2,500 customers representing 75,000 providers serving more than 6 million patients. Qualifacts was recognized in the 2022 and 2023 Best in KLAS: Software and Services report as having the top ranked Behavioral Health EHR solutions.

If you want to work inside an atmosphere where innovation has purpose, and your ambition works to support our customers and those they serve, please apply today!

This is an onsite position, 5 days/week, in the Vadodara office. Remote applicants will not be considered.

Role Overview

We are looking for a hands-on Team Lead who will actively design, code, and deploy AI-powered healthcare applications while guiding a team of developers. This role requires a balance of technical expertise, leadership, and the ability to work closely with stakeholders to deliver compliant, scalable, and impactful solutions.

Responsibilities For The Lead Software Engineer

• Lead design and development of features within .NET-based healthcare applications
• Lead architectural decisions for cloud-native, microservices-based systems ensuring scalability, security, and maintainability
• Guide the team on where and how AI can be applied pragmatically to existing workflows
• Architect and implement AI/ML capabilities, including agent-based or workflow-driven AI integrated into .NET applications
• Leverage AI-assisted development tools (e.g., GitHub Copilot, Claude Code) to improve developer productivity and code quality
• Collaborate closely with Product Owners to shape requirements, refine technical specifications, and assess feasibility
• Contribute to architectural discussions, ensuring software solutions align with best practices and long-term system sustainability
• Independently take ownership of projects, proactively identifying potential risks and driving solutions to completion
• Mentor and support lower-level developers, provide code reviews, share best practices, and offer guidance when needed

Qualifications Of The Lead Software Engineer

• 10+ years of professional software development experience, including 3+ years in technical leadership or architect role.
• Exposure to AI agents, orchestration, or workflow driven AI patterns.
• Demonstrate experience on building, deploying, and operating AI inference pipelines that integrate trained models.
• Strong architectural and design understanding, ensuring scalability, security, and maintainability
• Deep expertise in .NET technologies, including .NET Core, C# and SaaS application development
• Experience working with large datasets, SQL, and data pipelines.
• Expertise in designing, consuming, and integrating APIs and web services, including RESTful and SOAP APIs
• Self-motivated and capable of working independently, taking responsibility for projects and ensuring successful outcomes
• Experience deploying and managing applications in AWS, including knowledge of AWS services, architecture, and best practices
• Experience with front-end technologies, including CSS, JavaScript, jQuery, React
• Understanding of healthcare compliance regulations and reporting standards, preferred

Nice to Have

• AI or cloud AI certifications (e.g., AWS, Azure, Anthropic) demonstrating practical experience with AI platforms, LLMs, or AI‑assisted development.
• Experience or certification with AI‑assisted development tools such:
• Managed LLM platforms (e.g., AWS Bedrock)
• Model training or fine‑tuning pipelines (e.g., Amazon SageMaker)
• Prior experience in EHR, behavioral health, or healthcare SaaS.
• Familiarity with FHIR / HL7 integrations.
  

Qualifacts is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.