Qualification

Strong LinuxClear communicationExperience supporting AI inferenceExperience deployingExperience with resource schedulingEstablished practical SLOs

Bachelor's degree or equivalent experience in computer science, engineering, systems, infrastructure, or similar.
Hands-on experience building or operating production distributed systems, cloud infrastructure, or services where reliability has meaningful user or business impact.
Strong programming or scripting ability in Python, Go, Bash, or similar, with experience building tools and automation that solve operational problems.
Experience responding to significant production incidents, including mitigation, root cause analysis, escalation, and following corrective actions through to completion.
Practical understanding of service-level objectives (SLOs), service-level indicators (SLIs), error budgets, and alerting that distinguishes user-impacting failures from noise.
Strong Linux, networking, and systems debugging fundamentals, with the ability to investigate failures across application and infrastructure boundaries.
Clear communication, sound judgment under pressure, and the ability to work with engineering teams to identify failure modes and make systems simpler to operate.

Experience supporting AI inference, model serving, ML infrastructure, GPU workloads, or other latency-sensitive, high-throughput services.
Experience deploying, operating, and debugging Kubernetes-based services, with familiarity with Docker, Terraform, or comparable infrastructure tooling.
Experience building observability with metrics, logs, traces, dashboards, and actionable alerts across distributed systems.
Experience improving deployment safety and recovery through automation, testing, release gates, and rollback procedures.
Experience with resource scheduling, capacity planning, or workload isolation in multi-tenant cloud or GPU environments.
Owned reliability for an inference service or other mission-critical platform through a period of significant growth.
Built automation that measurably reduced operational toil, improved recovery time, or prevented repeat incidents.
Established practical SLOs, post-mortem processes, or production-readiness reviews that helped engineering teams ship with greater confidence.

Member of Technical Staff, Production Site Reliability Engineer at Inferact · LumiJobs

Member of Technical Staff, Production Site Reliability Engineer