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
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
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EarninMountain View, CA
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