Site Reliability Engineer, Edge Services, Infrastructure 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 of repetitive tasks.
• Integrate reliability measures directly into the CI/CD pipeline in partnership with development teams.
• Debug protocol-level issues and optimize traffic flow for HTTP/2, HTTP/3 (QUIC), and HTTPS/TLS.
• Manage and scale containerized workloads using Kubernetes and Infrastructure as Code tools like Terraform or Ansible.
• Lead blameless post-mortems to identify system weaknesses and harden infrastructure against future failures.
• Integrate Generative AI tools into SRE workflows for alert design, query construction, and automated debugging.
• Consult with product teams on service design to improve long-term maintainability and reliability.

What we're looking for

• A B.S. in Computer Science, Computer Engineering, or a related technical field is required, or equivalent professional experience.
• Candidates must have an 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 is required.
• Experience configuring and managing modern monitoring suites like Prometheus, Grafana, and ClickHouse is required.
• A grasp of Data Structures and Algorithms is required to write efficient code and troubleshoot system bottlenecks.
• Practical knowledge of SLIs, SLOs, Error Budgets, Release Management, and Incident Management is required.
• Preferred experience includes managing cloud environments using Terraform, Ansible, or Pulumi.
• Preferred experience includes scaling and securing containerized workloads via Kubernetes.