Senior Platform Reliability Engineer

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 $328Mm in funding, including our Series D, at a $3B valuation from Sequoia Capital, Transformation Capital, TCV, SignalFire, Menlo Ventures, Goldman Sachs Alternatives, and others.

About The Role

We’re hiring a Senior Platform Reliability Engineer to help define and scale reliability as a first-class capability at Grow. In this role you’ll operate horizontally across the organization, shaping how reliability is understood, measured, and built into the developer experience.

You’ll work closely with other members of the platform team as well as our product engineering teams to establish standards around observability, SLOs/SLAs, and incident response—while also helping translate those standards into self-service tooling and “golden paths” that make it easy for teams to adopt them.

This is a high-impact, highly autonomous role where you’ll drive both cultural and technical change, ultimately enabling teams to independently build and operate reliable systems at scale.

What You'll Work On

You’ll help us establish and scale reliability as a discipline at Grow by:

• Defining Reliability Standards Establishing frameworks for SLOs/SLAs, error budgets, and operational readiness; helping teams understand what to measure and why it matters.
• Improving Observability & Measurement Identifying gaps in metrics, logging, and tracing; ensuring services are measurable, debuggable, and aligned with reliability goals.
• Evolving Incident Response Developing and improving incident response practices, from detection to post-incident learning, and helping teams build sustainable on-call and escalation patterns.
• Enabling Self-Service Reliability Partnering with the platform team to build tooling and abstractions (e.g., service scorecards, dashboards, templates, golden paths) that make it easy for teams to adopt and stay compliant with reliability standards.
• Driving Adoption Across Teams Working cross-functionally to educate, influence, and guide engineering teams—scaling reliability practices through a combination of clear standards, strong communication, and developer-friendly systems

Who You Are

• Experienced in production systems: You have 6+ years of experience operating and improving reliability of production systems at scale.
• Strong foundation in cloud and infrastructure: You have hands-on experience with AWS, Kubernetes (e.g., EKS), and infrastructure as code tools like Terraform.
• Deep understanding of reliability principles: You’ve defined or worked with SLOs/SLAs, understand error budgets, and have experience improving reliability through measurement and iteration.
• Observability expertise: You’ve worked with modern observability tooling (we use DataDog) and understand how to build actionable monitoring systems across metrics, logs, and traces.
• Systems thinker: You’re able to zoom out, identify patterns across teams and services, and design solutions that scale beyond a single system.
• Impact-oriented: You focus on outcomes over output and care deeply about improving real reliability outcomes—not just adding processes.
• Strong communicator and influencer: You can drive change across teams without direct authority, balancing pragmatism with long-term vision.
• Self-directed: You thrive in ambiguous environments and are comfortable defining problems, proposing solutions, and executing independently.
• Team player: You collaborate well, communicate with empathy, and enjoy mentoring and learning from others.

Bonus Points

• You’ve helped introduce or scale reliability practices in a growing organization.
• You’ve built internal tooling or platforms used by multiple teams.
• You have experience designing service-level scorecards or compliance/reporting systems.
• You’ve worked with both SaaS (e.g., DataDog) and self-managed observability stacks.
• You were previously a product engineer and bring empathy for developer experience.
• You have experience with database reliability and performance (we use PostgreSQL)

Why This Role Is Exciting

This is a rare opportunity to define what reliability looks like at a growing, scaling engineering organization—and to do it in a way that actually sticks.

You won’t just be responding to incidents or working within a single team. You’ll be shaping how reliability is measured, enforced, and experienced across the entire company. You’ll work alongside your team mates to turn best practices into intuitive, self-service systems that engineers rely on every day.

Your work will directly improve system reliability, reduce incidents, and enable teams to move faster with confidence, ultimately making reliability a built-in property of how we build software at Grow.

Role Details

• Employment Type: Full Time, Exempt
• Base Compensation: The base compensation range for this position is $182,000–$250,000 USD Annually.

This is a hybrid role with the expectation to work onsite from our San Francisco, NYC, or Seattle hub location three days per week (Tuesday, Wednesday, and Thursday) and travel 2–3 times per year (e.g., company and department offsites).

The base compensation for this role will vary depending on several factors, including relevant experience, qualifications, and the candidate’s working location.

Full Time Employee Benefits

• Comprehensive Health Coverage: Medical, dental, and vision insurance, plus life and disability coverage.
• Parental Leave & Family Support: Up to 18 weeks paid leave and a new child stipend.
• Financial Wellness: 401(k) program and equity opportunities.
• Meals & Home Office Support: Stipends for home office setup and ongoing funds for meals, with tailored perks for both remote and in-office employees.
• Time Off to Recharge: Flexible PTO, 12 paid holidays, and a full winter break week.
• Wellness & Development: Annual stipends to put towards personal & professional growth.
• Mental & Physical Health Support: No-cost access to therapy through the Grow platform, weekly flexible hours for self-care (“Mental Health Mornings/Afternoons”) and memberships to leading wellness apps (such as One Medical, Headspace, and Talkspace).
• Extra Perks: Pet insurance discounts, commuter benefits, and global travel assistance.

Research shows that some groups hesitate to apply unless they meet every qualification. If you’re excited about this role but don’t check every box, we encourage you to apply. At Grow, we value diverse experiences, transferable skills, and the unique strengths each person brings.

Grow Therapy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Use of AI Tools: We use certain AI and automated tools to support recruitment. These tools help our team review applications, organize interviews, detect potential application integrity issues, and maintain interview records; they do not make final hiring decisions.

Application Review: Ashby's AI-Assisted Application Review helps review application materials against role-specific criteria and may flag potential fraud or integrity issues for recruiter review. All advancement decisions are made by our human recruiting team after independent review. See Ashby's AI Bias Audit Report.

Interview Recording: We use BrightHire to record interviews, supporting note-taking and consistency across candidates. Learn more. Interviews are confidential; you may ask your interviewer to stop recording anytime, or opt out in advance. Choosing not to be recorded will not, by itself, affect your candidacy.

AI-Assisted Recruiter Screen: For select roles, BrightHire's AI features may help structure initial recruiter screens and organize interview notes. All responses are reviewed by our recruiting team; no hiring decisions are made by AI alone.

State-specific notices: Depending on your location, you may have additional rights. Illinois: If AI analyzes a video interview, we'll provide notice, explain how it works and what it evaluates, and obtain consent beforehand. New York City: Where required, we'll provide at least 10 business days’ notice before using an automated employment decision tool and explain how to request an alternative process. Maryland: We do not use facial recognition to create facial templates during interviews unless required notice and written consent are obtained.

Questions, accommodation requests, requests for an alternative selection process, objections to recording, or concerns about AI use? Contact [email protected]. We’re happy to help or offer an alternative way to participate.

Compensation Range: $182K - $250K