Site Reliability Engineer

Responsibilities

• Architect, operate, and continuously improve the core infrastructure powering our 25ms cold-start compute engine.
• Build and evolve our observability stack (metrics, traces, logs), ensuring we detect issues before users do.
• Define, monitor, and drive SLOs/SLIs across key system surfaces to maintain world-class reliability.
• Lead incident response with rigor: root cause analysis, post-mortems, and driving systemic fixes.
• Design and implement self-healing, automated operational systems to eliminate toil and scale ops.
• Work across compute, networking, storage, and sandboxed execution layers to tune performance under extreme workloads.
• Build automation and tooling—often with AI agents—to streamline operations, debugging, capacity planning, and failure prediction.
• Stress-test and push our systems to the edge: load testing, chaos engineering, and performance benchmarking.
• Own security best practices at the infrastructure layer, from sandboxed compute to network isolation.
• Partner with platform engineers to ensure reliability is designed into new features from day one.

Requirements

Required skills:

• 3+ years in SRE, DevOps, or infrastructure engineering roles
• Strong proficiency in at least one programming language such as Go, Rust, or Python
• Hands-on experience with a major cloud provider (AWS, GCP)
• Solid knowledge of Linux systems, networking fundamentals, and distributed systems
• Experience with bare-metal servers and datacenter operations (PXE/iPXE provisioning, IPMI/BMC, RAID/NVMe, SR-IOV, high-throughput networking)
• Experience with Kubernetes or similar orchestrators
• Familiarity with observability stacks (Prometheus, Grafana, ELK, Datadog)
• Experience building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins)
• Strong debugging, problem-solving, and incident-management skills

Preferred:

• Experience with infrastructure-as-code tools such as Terraform or Pulumi
• Knowledge of service mesh or API gateway technologies
• Exposure to chaos engineering or resiliency-testing frameworks
• Background in security best practices for cloud environments
• Prior experience in high-growth or high-availability environments

Bonus:

• Experience with serverless compute systems
• Sandboxed execution environments
• Ultra-low-latency runtime engineering
• Distributed key-value stores and databases
• Chaos engineering
• Rust, Go, or systems-level programming
• Deep generative AI infrastructure