Own the reliability of a large-scale cloud service (Linux/BSD, bare metal, Kubernetes, custom load balancing, SD-WAN) by partnering with Engineering and Network teams to define requirements early, conduct operability reviews, and contribute code/design docs for platform resilience
Develop and operate end-to-end observability (metrics/logs/traces, dashboards, alerting) and incident tooling to manage SLOs/error budgets, reduce noise, and improve system detection and diagnosis
Participate in an on-call rotation to lead full-cycle incident response; perform deep cross-stack troubleshooting (OS, networking, distributed systems, packet captures, core dumps) to drive permanent software fixes and codify learnings into runbooks and tests
Build and maintain everything-as-code for fleet and service lifecycle, driving provisioning, configuration, release automation, canary deployments, and complex rollout/rollback workflows
Continuously improve platform hygiene through consistent OS/app upgrades, dependency/vulnerability patching, capacity and performance tuning, and strict CI/CD validation prior to production rollouts
Requirements
US Citizenship is required (due to the nature of assigned customers) and 5+ years industry experience in software engineering, infrastructure software, and/or platform engineering
Proficiency in at least one programming language (such as Python, Bash, or Go) with demonstrated ability to write production-quality code (testing, code reviews, CI, maintainable design, scripting for diagnostics)
Strong Linux/Unix systems fundamentals (process/memory, filesystems, networking stack basics, debugging/perf troubleshooting) and solid understanding of networking protocols and components (e.g., HTTP, DNS, TCP/IP, ICMP, OSI model, subnetting, and load balancing/traffic concepts)
Proven experience operating production services (including incident response, troubleshooting, reducing toil) and ability to participate in on-call rotations and support occasional after-hours or weekend deployments
Managing BSD in production, with a focus on driving systemic fixes through platform engineering