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.
About the job
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
Python, Go, Docker, Kubernetes, Terraform, Pulumi, Prometheus, Grafana, Datadog, AWS, GCP, Azure, Linux
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