{"id":2660777,"url":"https://alion.io/job/zyphra-machine-learning-systems-administrator-devops-engineer-training-clusters-inference-cloud","title":"Machine Learning Systems Administrator / DevOps Engineer: Training Clusters & Inference Cloud","company":{"id":8989,"name":"Zyphra","domain":"zyphra.com","url":"https://alion.io/company/zyphra","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"D","score":48,"open_postings":16,"ghost_share":0.875,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-16T05:45:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":127000,"max_usd":283000,"period":"year","method":"role_country_seniority_unknown","sample_n":3941},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Gmail","optional":false},{"name":"Grafana","optional":false},{"name":"InfiniBand","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Ray","optional":false},{"name":"ROCm","optional":false},{"name":"SGLang","optional":false},{"name":"Slack","optional":false},{"name":"SLURM","optional":false},{"name":"Telegraf","optional":false},{"name":"Terraform","optional":false},{"name":"TPU","optional":false},{"name":"vLLM","optional":false}],"status":"live","first_seen_at":"2026-10-15T22:55:27Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-16T17:53:10Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":0},"description":"The Role:\nAs a Machine Learning Systems Administrator / DevOps Engineer, you will maintain and build the core infrastructure behind both our model training and our inference cloud. You’ll split your time between our large-scale training clusters and the deployments and services that run our models in production on heterogeneous compute, which spans multiple accelerator types and vendors. You’ll work closely with our training, inference, and product teams to keep these systems reliable, secure, and fast. You’ll also lay the groundwork for workflows that can scale with us.\nYou’ll Work Across:\nTraining clusters\nAdministration and automation of our Linux-based cluster environments\n\nUser onboarding/offboarding, access control, and security auditing\n\nMonitoring system resources, job scheduling, and cluster health\n\nBring-up and validation of new hardware (compute, networking, storage)\n\nSupporting and improving developer workflows (e.g., VSCode remote development, Docker)\n\nEnabling and supporting large-scale training jobs\n\nInference cloud\nDeploying, operating, and scaling inference services across heterogeneous accelerators\n\nManaging container orchestration, CI/CD, and rollout pipelines for model deployments\n\nBuilding observability for production services, including metrics, logging, alerting, and dashboards\n\nOwning service reliability: uptime, incident response, and postmortems\n\nCapacity planning, autoscaling, and utilization/cost tracking across hardware types\n\nSecuring production systems through secrets management, network policy, and tenant isolation\n\nYou’ll own critical systems end to end. Your work will directly affect developer productivity, training throughput, and the performance and reliability of our inference platform.\nWhat We’re Looking For / Requirements:\nExperience with Linux system administration, user and access management, and automation\n\nDemonstrated expertise in scripting languages for system tooling and automation (bash, Python, etc.)\n\nExperience with containers (Docker) and scheduling/orchestration systems (Slurm, Kubernetes)\n\nExperience running production services, including monitoring and alerting (e.g., Prometheus, Grafana), deployment pipelines, and incident response\n\nExperience building tooling for cluster validation and reliability (accelerator, networking, and storage health checks)\n\nExperience setting up and managing developer tools and third-party services (e.g., cloud storage providers, Docker Hub, Slack, Gmail, Telegraf, experiment trackers)\n\nExcellent debugging and troubleshooting skills across compute, storage, and networking\n\nStrong communication skills and ability to collaborate across technical and non-technical teams\n\nQualifications / Additional Skills:\nExperience with infrastructure as code (e.g., Ansible, Terraform)\n\nPrior work supporting ML/AI infrastructure, including GPU management and workload optimization\n\nExperience deploying and operating LLM serving stacks (e.g., vLLM, SGLang, Ray)\n\nExperience with multiple accelerator platforms (e.g., NVIDIA CUDA, AMD ROCm, TPUs)\n\nExperience with high-performance networking (InfiniBand, RoCE) and distributed storage\n\nExperience working with cloud platforms such as AWS, Azure, or GCP\n\nFamiliarity with Apptainer and with integrating containers into Slurm and Kubernetes\n\nWhy Work at Zyphra:\nOur research methodology is grounded in methodical, step-by-step approaches to ambitious goals. Both deep research and engineering excellence are equally valued\n\nWe strongly value new and crazy ideas and are very willing to bet big on new ideas\n\nWe move as quickly as we can; we aim to minimize the bar to impact as low as possible\n\nWe all enjoy what we do and love discussing AI\n\nBenefits and Perks:\nComprehensive medical, dental, vision, and FSA plans\n\nCompetitive compensation and 401(k) plan\n\nRelocation and immigration support on a case-by-case basis\n\nIn-office snacks and meals provided\n\nUnlimited PTO and company holidays\n\nIn-person team in San Francisco with a collaborative, high-energy environment","description_format":"text","description_chars":4030,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Unlimited PTO"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Foundation Models","AI Research Labs"],"lifecycle":[{"event":"open","at":"2026-10-16T00:43:13Z"}],"visa":[],"liveness":{"score":60,"band":"ok","label":"Likely open","p_open":1,"p_active":0.602,"p_room":1,"age_days":0,"expected_fill_days":26,"reasons":["conf:1","stale_co","win:early"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/zyphra-machine-learning-systems-administrator-devops-engineer-training-clusters-inference-cloud","json_url":"https://alion.io/job/zyphra-machine-learning-systems-administrator-devops-engineer-training-clusters-inference-cloud.json","meta":{"generated_at":"2026-10-16T20:50:43Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1552,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":8989},"rest":"https://alion.io/mcp/rest/get_company?id=8989"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fzyphra-machine-learning-systems-administrator-devops-engineer-training-clusters-inference-cloud"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fzyphra-machine-learning-systems-administrator-devops-engineer-training-clusters-inference-cloud"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fzyphra-machine-learning-systems-administrator-devops-engineer-training-clusters-inference-cloud"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/zyphra-machine-learning-systems-administrator-devops-engineer-training-clusters-inference-cloud\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fzyphra-machine-learning-systems-administrator-devops-engineer-training-clusters-inference-cloud"}]}