Senior Platform Reliability Engineer

**About Us:** Grow was born to tackle a critical challenge: making mental health care more effective and accessible for everyone. Since launching in 2020, 15 million sessions have started on Grow, and we've barely scratched the surface. We do it through a three-sided marketplace that empowers providers, augments insurance payors, and serves patients. Every solution we build reveals ten more waiting to be delivered, and that's just what gets us going. We've backed that ambition with more than $328M in funding, including our Series D at a $3B valuation from Sequoia Capital, Transformation Capital, TCV, SignalFire, Menlo Ventures, Goldman Sachs Alternatives, and others. At Grow, the work you do can literally change someone's life. Your work here doesn't stay on a screen; it impacts whether someone can find, afford, and access quality care. That ambition sets us apart, and offers you an endless runway to impact one of the world's most urgent issues. We don’t have passenger seats here. Everyone is driving something that matters. This work deserves real commitment. So if you thrive on meeting problems head on, untangling serious complexity, and working at pace with the sharpest yet kindest people around, you've come to the right place. ## **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:** - **Health Benefits**: Comprehensive medical, dental, vision, life, and disability coverage. - **Grow for Grow:** No cost access to therapy through the Grow platform (available to US employees) - **Financial Wellness**: Retirement savings programs and equity opportunities to help you invest in your future. - **Flexible Time Off, Paid Holidays & Winter Break**: Flexible time off, company paid holidays (which vary by country), and a full company wide Winter Break to rest and recharge - **Parental Leave**: Up to 18 weeks of paid parental leave to support you and your growing family and a new child stipend. - **Mental Health Mornings/Afternoons**: Dedicated weekly flexible time for self care, whether that's therapy, exercise, journaling, time with family, or simply taking a break. - **Wellness & Development Stipend**: Annual stipend to support your personal wellbeing and professional growth, from fitness and education to books and learning resources. - **Commuter Benefits:** Pre tax commuter benefits to support teammates working from one of our hub locations. - **Home Office & Meals**: Support for your home workspace plus meal benefits, with offerings tailored to both remote and hub based employees. - **Additional Perks:** A variety of wellbeing benefits, including wellness memberships, virtual care, pet insurance discounts (where available), 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*](https://trust.ashbyhq.com/item/ai-bias-audit-report)*.* ***Interview Recording:** We use BrightHire to record interviews, supporting note-taking and consistency across candidates.* [*Learn more*](https://help.brighthire.ai/en/articles/4484370-brighthire-for-candidates-faq)*. Interviews are confidential; you may ask your interviewer to stop recording anytime, or* [*opt out in advance*](https://app.brighthire.ai/candidate-opt-out/kcrUeiitS5Khw5AcWW_jLg)*. 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 . We’re happy to help or offer an alternative way to participate.*