Senior Software Engineer

Healthmark Group

4h•Remote

About The Position

HealthMark Group is a leading provider of health IT solutions for healthcare providers across the country. By leveraging technology to reimagine the business of healthcare, HealthMark transforms administrative processes into seamless digital solutions. From HealthMark’s proprietary MedRelease platform for Release of Information, the company is pioneering an efficient, compliant, and patient-centric approach to support the entire spectrum of the patient information journey. HealthMark Group was founded in 2006 with corporate headquarters in Dallas, TX, and has been named to both the Dallas 100 and the Inc. 5000 for multiple years in a row as one of the fastest-growing companies in the region and the country. We're a mid-sized company in a transformation phase: modernizing legacy systems, building new products, and automating workflows that used to require rooms full of people. If you want to build things that matter (not just maintain them), this is a good time to join. We're hiring a Senior Software Engineer to work across our web applications and backend systems—both new development and modernizing existing platforms. You'll work with a small, collaborative team in a fully remote environment with real ownership over what you build. This isn't a role where you'll be handed detailed specs and told to execute. We need someone who can understand problems, propose solutions, and see them through production. You'll have significant influence over technical direction and help set the standard for how we build software. AI tools are part of how we build software here. We use AI-assisted development daily—not as a novelty, but as a core part of our engineering workflow. We're looking for someone who already works this way and wants to push further.

Requirements

6+ years of professional software development experience, with growth in the complexity and scope of problems you've tackled
Deep proficiency in the Microsoft stack (ASP.NET Web API, ASP.NET MVC, .NET Framework and/or .NET Core)
Strong experience with modern front-end frameworks (React, Angular, or Vue.js)
Solid proficiency with relational databases, writing SQL, and understanding query performance
Demonstrated automated testing practices across units, integration, and end-to-end testing
Fluency with Git and collaborative development workflows
Experience with distributed systems—building and operating them (async workflows, messaging, observability)
Experience with cloud platforms (AWS or Azure) in production
Proficiency with CI/CD and DevOps practices
Bachelor's degree in CS or related field, or equivalent hands-on experience
Active, daily use of AI coding tools integrated into your development workflow—not just asking a chatbot occasional questions, but using AI as a core part of how you write, review, and ship code
Ability to critically evaluate AI-generated code for correctness, security, and maintainability
Experience providing AI tools with meaningful context (codebase access, architecture constraints, project conventions) to get higher-quality output
Comfort working in an environment where AI-assisted delivery is expected, not optional

Nice To Haves

Experience with agentic AI workflows—letting AI tools operate with more autonomy while you supervise, review, and direct (e.g., Claude Code, Cursor Agent, Windsurf, or similar)
Familiarity with techniques for managing AI agents across tasks—scoped personas, iterative loops, structured handoffs between agents
Understanding of the tradeoffs between containerization, serverless, and managed services
Hands-on AWS experience (EC2, SNS, SQS, S3, Lambda, RDS)
Healthcare software background (HIPAA, HL7, patient data handling)
History of leading technical projects or initiatives

Responsibilities

Design, build, and maintain web applications and backend services using the Microsoft stack (C#, .NET Framework/.NET 6+, ASP.NET Web API, ASP.NET MVC, Entity Framework, SQL Server)
Work on both new systems and legacy modernization—you'll see the full spectrum
Work with existing codebases—reading, understanding, and extending code you didn't write
Develop and manage technical roadmaps for your domains, focusing on long-term system goals beyond daily tasks.
Use AI coding tools daily to accelerate development—generating code, debugging, refactoring, and exploring unfamiliar codebases
Review AI-generated output with the same rigor you'd apply to any code review—understanding what it produces, not just accepting it
Write clean, testable code with appropriate documentation
Lead code reviews and help maintain engineering standards across the team
Debug issues across the stack when things break (because they will)
Collaborate with product and operations teams to translate user needs into technical solutions
Identify technical risks before they become problems and resolve cross-team dependencies
Mentor other engineers—raising the bar and helping people grow