Senior Platform Reliability Engineer

About the role

We're looking for a Senior Platform Reliability Engineer to help us define and scale reliability at Grow. 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.

Responsibilities

• Define Reliability Standards
• Establish frameworks for SLOs/SLAs, error budgets, and operational readiness; help teams understand what to measure and why it matters.
• Improve Observability & Measurement
• Identify gaps in metrics, logging, and tracing; ensure services are measurable, debuggable, and aligned with reliability goals.
• Evolve Incident Response
• Develop and improve incident response practices, from detection to post-incident learning, and help teams build sustainable on-call and escalation patterns.
• Enable Self-Service Reliability
• Partner 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.
• Drive Adoption Across Teams
• Work cross-functionally to educate, influence, and guide engineering teams—scaling reliability practices through a combination of clear standards, strong communication, and developer-friendly systems.

Requirements

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

Bonus Points

• Helped introduce or scale reliability practices in a growing organization.
• Built internal tooling or platforms used by multiple teams.
• Experience designing service-level scorecards or compliance/reporting systems.
• Experience with both SaaS (e.g., DataDog) and self-managed observability stacks.
• Previously a product engineer and bringing empathy for developer experience.
• Experience with database reliability and performance (we use PostgreSQL).