Lully

Infrastructure Engineer

Lully

full-time

Posted on:

Location Type: Hybrid

Location: San FranciscoCaliforniaUnited States

Visit company website

Explore more

AI Apply
Apply

Salary

💰 $200,000 - $240,000 per year

About the role

  • Own the stability, observability, and debugging workflows that keep our systems running smoothly
  • Untangle complex failures in real time
  • Design tools that turn chaos into clarity
  • Help shift from reactive to proactive operations
  • Reduce incident load, build internal tooling, and improve developer focus and system uptime

Requirements

  • 3+ years of hands-on experience debugging production systems (logs, traces, incidents, etc.)
  • Strong problem-solving skills and ability to dive into unfamiliar backend codebases
  • Strong Go and Kubernetes experience.
  • Familiarity with observability and monitoring tools (e.g., Datadog, Prometheus, Sentry)
  • Clear, calm communication under pressure — especially during live incidents
Benefits
  • Opportunity to work at a high-growth AI startup
  • Top-Tier Compensation - Competitive salary + equity in a high-growth startup
  • Ownership & Autonomy - Take full ownership of projects and ship fast
  • Work With the Best - Join a world-class team of engineers and builders
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
debuggingGoKubernetesobservabilitymonitoringbackend codebasesincident managementinternal toolingsystem uptime
Soft Skills
problem-solvingcommunication under pressure