P
San Francisco, California, United States· Full-time
$220K – $405K/yr
PythonPostgreSQLRedisAWS
I
Active1mo ago
Member of Technical Staff, Production Site Reliability Engineer
Role overview
Job description
Overview Inferact's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster. Founded by the creators and core maintainers of vLLM, we sit at the intersection of models and hardware, a position that took years to build. About the Role We're looking for a Site Reliability Engineer to make Inferact's vLLM-powered inference services dependable in production. You'll work alongside the engineers building the platform, bringing a reliability perspective to how systems are designed, shipped, and operated. This is a hands-on engineering role for someone who thinks about failure before launch, simplifies operations, and writes software that makes reliable inference possible at scale. You'll help own reliability across the production lifecycle, from release safety and observability to incident response and recovery. You'll define
…About this listing
- Source: Inferact's official careers site (via Ashby) · last confirmed on the source 31 Oct 2026
- Posted 22 Sept 2026
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Role market pulse
How Member of Technical Staff demand looks in United States
Live jobs
77
Posted 30d
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30d movement
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Remote share
14.3%
Salary listed
81.8%
Salary trend 1Y
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What they are looking for
Skills & requirements
Qualification
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. Preferred
Department · Research & Engineering
Hiring company
Inferact
Transportation & Logistics
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