Engineering Manager (Site Reliability Engineering)

Join Replit, a platform that enables people to build software with AI. As an Engineering Manager for Site Reliability Engineering, you will lead a team focused on observability, incident management, load testing, performance engineering, cloud cost and capacity, and rollout infrastructure. This role requires a strong background in software-oriented production systems, engineering management, and experience with cloud cost attribution and capacity planning. Enjoy a remote-first work environment with flexible hours and a comprehensive benefits package.

Responsibilities

• Lead and grow a team responsible for building and operating production platforms, focusing on observability, incident management, load testing, performance engineering, and rollout infrastructure.
• Drive engineering improvements by helping teams ship safely, understand production behavior, and remove performance bottlenecks through concrete engineering improvements.
• Build and operate metrics, logs, traces, and alerting capabilities, and own incident tooling and practices to turn incident reviews into engineering improvements.
• Platform-product and cross-team judgment. You can build capabilities other teams adopt, lead hands-on engagements without absorbing every service's operations, and make clear tradeoffs among reliability, performance, engineering effort, and cost
• Safe-change and performance judgment. You have led consequential migrations or incidents and used measurement to diagnose reliability or performance problems. You can distinguish symptoms from causes and validate fixes under realistic conditions

Requirements

• Demonstrated engineering management. You have led and developed engineers, made prioritization and performance decisions, hired thoughtfully, and delivered through a team—not only acted as its strongest individual contributor
• Software-oriented production systems depth. You have built and operated distributed systems or reliability platforms and can reason across deployment behavior, Kubernetes, telemetry, service dependencies, and recovery mechanisms
• Experience with GitOps or progressive-delivery platforms such as Harness, ArgoCD, or Kargo
• Experience with observability, profiling, load-testing, and failure-testing systems, including OpenTelemetry or comparable tooling
• Experience with cloud cost attribution, capacity planning, and provider coordination, particularly on GCP
• Experience growing distributed teams and using AI tools to increase engineering output while preserving production safeguards

Pay

USD 250,000 - 325,000