Staff Network Site Reliability Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Define and take ownership of reliability objectives for network services and essential pathways, which include SLIs/SLOs, availability goals, and error budgets.

• Promote reliability enhancements throughout the network, focusing on site readiness, inter-site connections, and operational standards.

• Lead incident response efforts, conduct investigations and postmortems, and convert failures into sustainable solutions.

• Develop and refine observability using actionable metrics, logs, traces, alerting, and expedited debugging processes.

• Create safer network change workflows through automation, CI/CD, testing/staging environments, canary releases, rollbacks, and audit trails.

• Collaborate closely with network engineers and platform teams to integrate operability into designs, ensuring operations remain practical and efficient.

⛳️ Requirements

• Strong foundation in production Linux and a systematic approach to troubleshooting complex systems.

• Comprehensive understanding of networking fundamentals and the common failure modes of real networks, including control plane vs data plane, latency/loss, and failure domains.

• Practical experience in operating high-availability systems and enhancing their performance over time.

• Proficiency in writing and maintaining software/automation; familiarity with Go is common, while Python is also appreciated.

• Experience with contemporary infrastructure tools, including Infrastructure as Code (IaC), CI/CD, and container platforms.

• Experience with high-throughput traffic management is a plus.

• A background in low-level networking performance/debugging is advantageous, including knowledge of eBPF/XDP, DPDK, perf/ftrace, and kernel networking internals.

• Experience in developing network-safe delivery pipelines is an added advantage.

• Familiarity with large-scale network observability/telemetry is a bonus.

• Must possess authorization to work in the country where they apply and provide proof of employment eligibility.

🏝️ Benefits

• Competitive compensation.

• Opportunities for career advancement and learning.

• Flexibility and autonomy in work.

• A collaborative and innovative work culture.

• Chance to engage in impactful AI projects.

• An international work environment with talented teams.