Staff Engineer - Platform
Grow TherapyNew York City, San Francisco, Seattle, or Remote$217k – $289kPosted 20 March 2026
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
Our internal Platform team’s mission is to unlock the full potential of our product engineering organization by providing an internal developer platform that increases autonomy and amplifies productivity—eliminating friction while ensuring security, compliance, and resiliency at scale.
We’re hiring a
Staff Engineer to join our dynamic and talented platform team to help build the internal developer ecosystem powering Grow’s next-generation mental healthcare platform. You’ll join a mission-driven team where engineering decisions have broad organizational impact and directly support Grow’s goal of making affordable mental health care more accessible across the U.S.
As a platform engineer, you’ll tackle complex challenges spanning AWS cloud infrastructure, Kubernetes (EKS) operations, CI/CD pipelines, and the tooling, automations, and workflows that drive Grow’s engineering velocity.
As a staff-level engineer, you’ll lead large-scale initiatives that cross organizational boundaries, balancing autonomy with accountability for outcomes. You’ll own key areas of our platform roadmap and partner closely with product engineering to deliver capabilities that improve development speed, reliability, and scalability.
Why This Role Is Exciting
As a Staff Engineer on our Platform team, you’ll have a unique opportunity to shape how our entire organization builds and ships software—driving faster, safer, and more reliable delivery at scale. You’ll join a talented, highly collaborative team of engineers whose work expands access to high-quality mental healthcare for millions of Americans.
What You'll Work On
You’ll help us deliver a next-generation, Kubernetes-based internal developer platform that:
Forms a Strong Foundation: Resilient and scalable platform architecture; Automated cluster and infrastructure management.
Provides New Capabilities: Progressive delivery (Canary, Blue/Green); Multi-stage deployment pipelines; Ephemeral dev/test environments; Declarative application infrastructure management.
Reduces Friction: Self-service application lifecycle workflows; Golden-path Application infrastructure abstractions.
Who You Are
Because this is a pivotal, cross-functional role, we’re looking for a candidate with exceptional technical leadership and strong communication skills. The ideal candidate has deep experience in Kubernetes operations and development.
10+ years of professional experience: You have a track record of leading large-scale technical initiatives and delivering on outcomes.
Kubernetes operations: You have deep experience operating clusters (e.g., EKS), automating their lifecycles, and maintaining production SLOs for cluster services.
Self-service platforms: You have designed Kubernetes-based abstractions that have empowered development teams to manage their own services and infrastructure.
Cloud infrastructure: You have experience automating cloud infrastructure on providers such as AWS using tools such as Terraform or Crossplane.
Technical Breadth: You have experience with multiple backend languages (preferably Python, Go, and/or Typescript), solid foundations in networking concepts, and feel at home in ... (truncated, view full listing at source)
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