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.
• Define and manage SLIs, SLOs, and error budgets to drive engineering priorities.

What we're looking for

• A B.S. in Computer Science, Computer Engineering, or a related technical field is required, or equivalent professional experience.
• Deep networking expertise and understanding of Linux internals are required, 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 for high-signal alerting.
• Proficiency in Data Structures and Algorithms (DSA) to write performant 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 is preferred.
• Hands-on experience scaling and securing containerized workloads via Kubernetes is preferred.