Senior Software Engineer, Backend

Grow Therapy
New York, San Francisco, or Seattle$212k – $250kPosted 30 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 We're hiring a Software Engineer to help build and evolve the backend systems that power Grow Therapy's platform. In this role, you'll design, implement, and ship server-side features and services that directly impact how clients and providers connect, communicate, and access care. You'll join a collaborative, product-focused engineering organization where technical work is closely tied to reliability, scalability, and real-world outcomes. This role is ideal for an engineer who takes pride in writing clean, well-tested code, thinks carefully about system design and data integrity, and is energized by the opportunity to grow alongside a fast-moving team. Why This Role Matters Access to mental healthcare in America is still deeply fragmented and Grow Therapy is building the platform to fix that. We connect clients, providers, and health plans in a single integrated system, and the software our engineers ship directly shapes whether people can find and afford the care they need. We're growing fast - nearly 22,000 clinicians, over 1.4 million clients, and on track to surpass 10 million sessions in 2026 and we see ourselves as a generational company with a long way still to go. Engineers who join now have a real opportunity to build systems that matter at meaningful scale. What You'll Be Doing Own backend services and APIs end to end — from technical design through implementation, deployment, and ongoing reliability Drive architectural decisions within your team, bringing structure and clarity to complex, ambiguous problem spaces Lead improvements to core platform systems, including data pipelines, service reliability, and business logic Design and enable safe, repeatable experimentation through robust A/B testing and analysis workflows Diagnose and resolve data quality, performance, and correctness issues across systems Write clean, well-tested, maintainable production code and set a high bar through code reviews and technical mentorship Partner closely with Product, Design, and Data to translate goals into technical designs and execution plans Shape the technical direction of your team and contribute meaningfully to cross-team architectural discussions You'll Be a Good Fit If You Have 7+ years of professional software engineering experience with meaningful ownership of production backend systems Deep backend engineering expertise, including service design, data modeling, and API development at scale Experience building and operating systems where reliability, data quality, and performance are critical Proven ability to operate in ambiguous problem spaces and drive clarity across technical and cross-functional stakeholders A highly data-driven mindset, comfortable with experimentation, measurement, and optimization from both product and technical perspectives A product-minded approach — you understand how technical decisions impact user experience and business outcomes Strong collaboration and communication skills, with a track record of influencing cross-functional partners including Product, Design, and Data Science Experience using AI-assisted dev tools (e.g., Cursor, GitHub Copilot) A bias toward ownership ... (truncated, view full listing at source)
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