Site Reliability Engineer, Edge Services

What you'll do

• Design and implement a next-generation observability and alerting strategy using high-cardinality data.
• Build self-healing systems and reduce operational toil through aggressive automation using Python or Go.
• Integrate reliability standards and automated checks directly into the CI/CD pipeline.
• Manage and scale containerized workloads using Kubernetes and Infrastructure as Code tools like Terraform.
• Debug protocol-level issues and optimize traffic flow for HTTP/2, HTTP/3, and TLS.
• Define and monitor SLIs, SLOs, and error budgets to drive engineering priorities.
• Lead blameless post-mortems to identify root causes and harden systems against future failures.
• Implement Generative AI tools to accelerate observability queries and build AI-assisted debugging workflows.

What we're looking for

• B.S. in Computer Science, Computer Engineering, or a related technical field, or equivalent professional work experience.
• Understanding of Linux internals and deep networking expertise, including HTTP/2, HTTP/3 (QUIC), and HTTPS/TLS.
• Proven ability to automate repetitive tasks and complex workflows using Python or Go.
• Experience configuring and managing modern monitoring suites like Prometheus, Grafana, and ClickHouse.
• Grasp of Data Structures and Algorithms to write efficient code and troubleshoot system bottlenecks.
• Practical knowledge of SLIs, SLOs, Error Budgets, Release Management, and Incident Management.
• Experience managing cloud environments using Terraform, Ansible, or Pulumi (preferred).
• Hands-on experience scaling and securing containerized workloads via Kubernetes (preferred).