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RunloopRunloopSan Francisco, CA

Site Reliability Engineer

Site Reliability Engineer responsible for the reliability, observability, performance, and security of a core AI agent platform including code sandboxes. Requires 5+ years software engineering experience (3+ in SRE/DevOps), strong CS fundamentals, expertise in containers, cloud IaC, monitoring, and distributed systems.

Salary not listed
On-site5+ YOEDevOps / SRE

About the role

Responsibilities

  • Design and maintain our production infrastructure on cloud platforms like AWS, GCP, or Azure
  • Monitor and respond to system alerts and incidents using Grafana and Prometheus, ensuring high availability and a secure environment for our users' code
  • Collaborate with developers to ensure new features and services are designed with scalability and reliability in mind
  • Troubleshoot and resolve complex issues related to our infrastructure, networking, and the sandbox environment
  • Participate in an on-call rotation to support our production systems
  • Define and track SLIs/SLOs, manage error budgets, and proactively monitor distributed systems with logging and tracing
  • Automate deployments, scaling, provisioning, and recovery tasks to reduce toil and build self-healing systems
  • Lead incident response, conduct root-cause analysis, and facilitate blameless post-mortems to drive continual improvement
  • Collaborate cross-functionally with product, engineering, and developer relations to ensure reliable releases and an outstanding developer experience
  • Plan for capacity growth, forecast system usage, and contribute to safe release and change management processes

Requirements

  • Strong computer science fundamentals, backed by a degree from a top-tier CS/EE program, or equivalent experience
  • 5+ years of experience in software engineering, with at least 3 years focused explicitly on site reliability, DevOps, or infrastructure operations
  • Strong programming skills in languages like Python or Go
  • Deep expertise in containerization technologies such as Docker and Kubernetes
  • Experience with cloud infrastructure and tools like Terraform and/or Pulumi
  • Familiarity with monitoring and alerting tools like Prometheus, Grafana, or Datadog
  • A solid understanding of networking, security, and Linux systems administration
  • Experience designing, scaling, and maintaining distributed systems (backend platforms, APIs, or front-end infrastructure)
  • Proficiency in implementing observability frameworks (metrics, logging, tracing) and aligning reliability goals with developer velocity
  • Hands-on experience managing incidents, running on-call operations, and producing actionable post-mortems
  • Ability to mentor engineers and influence reliability practices across teams, especially for front-end infrastructure and performance

Nice-to-Haves

  • Experience with chaos engineering techniques, front-end observability tools (e.g., Sentry, RUM, synthetic monitoring), or building CI/CD pipelines for front-end delivery

Benefits

  • Competitive salary and equity
  • Comprehensive health, dental, and vision insurance for employee and dependents
  • Opportunity to work on cutting-edge technology and make a real impact on the future of software engineering
  • Daily catered lunch for all employees and a fridge full of your favorite snacks and drinks
  • Onsite 4 days a week in San Francisco; Optional 1 day a week remote

Skills

PythonGoDockerKubernetesTerraformPulumiPrometheusGrafanaDatadogAWSGCPAzureLinux

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