{"slug": "member-of-technical-staff-cloud-orchestration-remote-inferact", "title": "Member of Technical Staff, Cloud Orchestration (Remote) — Inferact", "summary": "Inferact, the company founded by the creators and core maintainers of vLLM, is hiring a remote Member of Technical Staff for Cloud Orchestration with a salary of $200k–400k/yr. The role involves building cluster management, deployment automation, and production monitoring systems for vLLM at massive scale, requiring experience with Kubernetes, GPU clusters, and infrastructure-as-code tools.", "body_md": "# Member of Technical Staff, Cloud Orchestration (Remote)\n\n- Salary\n- $200k–400k/yr\n- Location\n- Remote\n- Work type\n- Remote\n- Level\n- Staff\n- Posted\n- today\n\n[Apply on company site (opens in new tab)](https://jobs.ashbyhq.com/inferact/c0f52cce-53fc-478c-894e-1ee601148cc6/application)\n\nInferact'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.\n\nAbout the Role\n\nWe're looking for an cloud orchestration engineer to build the operational backbone that keeps vLLM running reliably at massive scale. You'll design the systems for cluster management, deployment automation, and production monitoring that enable teams worldwide to serve AI models without friction. You'll ensure that vLLM deployments are observable, debuggable, and recoverable, turning operational complexity into infrastructure that just works.\n\nSkills and Qualifications\n\nMinimum qualifications:\n\n- Bachelor's degree or equivalent experience in computer science, engineering, or similar.\n- Strong experience with Kubernetes and container orchestration at scale.\n- Experience designing and implementing custom Kubernetes operators.\n- Proficiency in Python/Rust/Go and infrastructure-as-code tools (Terraform, Helm, etc).\n- Experience managing GPU clusters and debugging hardware issues.\n- Ability to work across cloud platforms (AWS, GCP, Azure) and on-premise infrastructure.\n\nPreferred qualifications:\n\n- Experience with ML-specific orchestration tools (Ray, Slurm).\n- Knowledge of GPU scheduling, multi-tenancy, and resource optimization.\n- Familiarity with vLLM deployment patterns and configuration.\n- Track record of improving operational reliability for ML systems.\n\nBonus points if you have:\n\n- Experience deploying inference systems on large-scale GPU (1,000+) clusters.\n\nLogistics\n\n- Location: Fully remote, worldwide. We're timezone-flexible but expect regular overlap with Pacific Time for critical syncs.\n- Compensation: We offer competitive compensations (salary + equity) compared to the local market conditions.\n- Visa sponsorship: We sponsor visas on a case-by-case basis.\n- Benefits: Inferact offers competitive benefits appropriate to your location, including health coverage where applicable.", "url": "https://wpnews.pro/news/member-of-technical-staff-cloud-orchestration-remote-inferact", "canonical_source": "https://frontierroles.com/jobs/inferact-member-of-technical-staff-cloud-orchestration-remote-e99752/", "published_at": "2026-08-25 05:48:30+00:00", "updated_at": "2026-08-26 03:43:59.333085+00:00", "lang": "en", "topics": ["ai-infrastructure", "ai-products", "developer-tools"], "entities": ["Inferact", "vLLM"], "alternates": {"html": "https://wpnews.pro/news/member-of-technical-staff-cloud-orchestration-remote-inferact", "markdown": "https://wpnews.pro/news/member-of-technical-staff-cloud-orchestration-remote-inferact.md", "text": "https://wpnews.pro/news/member-of-technical-staff-cloud-orchestration-remote-inferact.txt", "jsonld": "https://wpnews.pro/news/member-of-technical-staff-cloud-orchestration-remote-inferact.jsonld"}}