Software Engineer, Billing Platform

Grow Therapy
New York City, Seattle, San Francisco$149k – $227kPosted 20 March 2026

Tech Stack

Job Description

About Us: Grow Therapy is on a mission to serve as the trusted partner for therapists growing their practice, and patients accessing high-quality care. Powered by technology, we are a three-sided marketplace that empowers providers, augments insurance payors, and serves patients. Following the mass increase in depression and anxiety, the need for accessibility is more important than ever. To make our vision for mental healthcare a reality, we’re building a team of entrepreneurs and mission-driven go-getters. Since launching in February 2021, we’ve empowered more than ten thousand therapists and hundreds of thousands of clients across the country and insurance landscape. We’ve raised more than $178mm of funding from Sequoia Capital, Transformation Capital, TCV, SignalFire, and others. The Opportunity: As a Software Engineer in our Lives Covered Organization (Billing Platform) at Grow Therapy, you’ll play a key role in evolving one of our foundational billing systems critical to the success of our business model. Billing Platform : This team owns the backbone of our financial infrastructure — building scalable, intelligent, and transparent billing experiences that enable our business to grow with confidence. What You'll Be Doing: You’ll join a team of engineers, reporting to a dedicated engineering manager, and contribute to high-impact roadmap priorities. Your responsibilities will include: Design and evolve scalable, reliable backend systems that support high availability and performance across critical product workflows. Write high-quality, maintainable code in production systems, balancing speed and rigor to deliver impact in a fast-paced environment. Conduct thoughtful code reviews and technical mentorship, raising the bar for engineering excellence across the team and beyond. Drive architectural decisions and lead cross-team technical initiatives, partnering closely with product, infra, and leadership to shape the long-term tech strategy. Proactively identify and resolve system reliability risks, owning uptime, observability, and performance as first-class engineering concerns. You'll Be a Good Fit if: 4+ years of backend engineering experience - You’ve led development of production systems end-to-end and can drive projects with minimal oversight. Systems thinker - You design for performance, reliability, and maintainability, and know how to evolve complex systems without losing stability. Technical depth - You bring strong expertise in backend languages (Python preferred), data modeling, and service architecture in distributed environments. Execution-oriented - You know how to scope, build, and ship impactful solutions, balancing speed with technical rigor. Comfort with ambiguity - You thrive in dynamic environments and are skilled at turning loosely defined problems into clear technical direction. Bonus Points: Experience with Billing, Revenue Cycle Management, and/or Health Insurance Systems Python Experience Interesting side projects! Engineering Team Principles: You own what you build. You will feel ownership of the code you write, articulate the importance of the feature, and follow up to ensure it's successful. We build solutions for our providers and clients. We write code to solve user problems, not just for the sake of solving technical problems. You are not part of the tech team, but rather part of the team itself! Grow is a tech-enabled business and not a pure software business, so understanding how the business works is integral to your job. Role Details: Employment Type: Full-Time, Exempt Base Compensation: The base compensation range for this position is Hybrid Commitment: $149,000–$227,000 USD Annually This role is hybrid (onsite from our NYC, San Francisco, or Seattle hub location three days per week: Tuesday, Wednesday, Thursday ) This include travel 2–3 times per year (e.g., company and department offsites). The base compensation for this role will vary depending o ... (truncated, view full listing at source)
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