Replit

Replit

Engineering Manager, Site Reliability Engineering

Foster City, CA ยท Full-time

Sponsorship not specifiedDetected 26 days ago
Distributed SystemsKubernetesSite Reliability EngineeringLoad TestingLeadershipCollaborationMentoringArgo CD

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

18 transfer filings in the last year, covering 18 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • You'll help teams ship safely, understand production behavior, and remove performance bottlenecks through concrete engineering improvements.

Responsibilities

  • Observability. Build and operate metrics, logs, traces, and alerting capabilities. Help teams establish meaningful SLOs and use production telemetry to diagnose problems and verify improvements.
  • Incident Management. Own incident tooling and practices, coordinate cross-team response, and turn incident reviews into engineering improvements that reduce recovery time and repeat failures.
  • Load Testing. Build and maintain load/failure testing capabilities. Validate critical paths under expected demand, quantify headroom, and test recovery and production readiness with service owners.
  • Performance Engineering. Lead deep engagements with internal teams on SLOs and end-to-end performance. Use profiling, telemetry, and load tests to identify bottlenecks and deliver improvements with service owners-not just recommendations.
  • Stay technically engaged. Review designs and production changes, debug difficult failure modes, and use AI coding tools-including Replit-to prototype and automate. Apply rigorous review and verification to AI-generated changes.
  • Build and operate metrics, logs, traces, and alerting capabilities.
  • Build and grow a high-ownership engineering team.
  • Coach engineers, develop technical leaders, manage performance, and hire against agreed needs.
  • Agree success measures and continuing ownership with partner teams.

Requirements

  • 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.
  • You have built and operated distributed systems or reliability platforms and can reason across deployment behavior, Kubernetes, telemetry, service dependencies, and recovery mechanisms.
  • You have led consequential migrations or incidents and used measurement to diagnose reliability or performance problems.

Nice to have

  • 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.
  • ๐Ÿ’น 401(k) Program with a 4% match (US Only)
  • ๐Ÿง‘โ€๐Ÿ’ป Autonomous Work Environment
  • ๐Ÿš€ Quarterly Team Gatherings
  • โ˜• In Office Amenities (In-Office Only)

Compensation

  • ๐Ÿ’ฐ Competitive Salary & Equity

Benefits

  • Make distributed collaboration, mentoring, and backup coverage deliberate rather than relying on a few permanent escalation points.
  • Track rollout safety, recovery time, repeat incidents, critical-path latency/throughput, test coverage, and improvements arising from cost/capacity analysis.

This listing is sourced directly from Replit's careers page and normalized into a canonical job model.