{"id":794999,"url":"https://alion.io/job/phylo-member-of-technical-staff-system-engineering","title":"Member of Technical Staff - System Engineering","company":{"id":451625,"name":"Phylo","domain":"phylo.bio","url":"https://alion.io/company/phylo-2","size_band":null,"is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-24T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["South San Francisco, United States","Toronto, Canada"],"countries":["US","CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Kubernetes","optional":false},{"name":"Pulumi","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"Terraform","optional":false},{"name":"HPC","optional":true}],"status":"live","first_seen_at":"2026-04-05T22:15:30Z","employer_posted_date":"2026-04-05","last_verified_at":"2026-09-24T08:10:02Z","board_verified":true,"closed_at":null,"days_open":171,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":171},"description":"About Phylo\nPhylo is an applied research lab building agentic intelligence to accelerate discovery for every biomedical scientist. We believe AI agents will fundamentally transform how biomedical research is done. Our fast-growing team brings together researchers and engineers across AI and biology, commercializing the Biomni platform.\nOur growing team brings together world class researchers and engineers across AI and biology. Backed by a $13.5M seed round led by a16z, Menlo Ventures and Anthropic, and advised by Nobel Prize laureate and pioneering biologists, Phylo is building the next generation of AI systems for the life sciences.\nAbout the Role\nWe’re looking for an engineer to build and operate the core systems that power Phylo’s agentic AI platform in production. You’ll design and implement the distributed systems, compute environments, and service architecture that allow our AI agents to run reliably at scale - across cloud-native deployments and enterprise environments.\nWe are an AI-native engineering team: we use coding agents heavily, move fast, and hold a very high bar for engineering excellence.\nWhat you’ll do as a Member of Technical Staff - System Engineering at Phylo:\nDesign and build production systems that orchestrate agent execution and power AI-driven scientific workloads.\n\nBuild and operate scalable, reliable infrastructure across cloud, hybrid, and on-prem enterprise environments.\n\nDevelop systems for sandboxed execution, secure task isolation, and controlled compute environments. Design and implement security, access control, and compliance foundations suitable for enterprise deployments.\n\nDesign and operate the storage and data systems behind large-scale scientific workloads, including distributed file systems, object storage, and databases.\n\nPartner closely with ML and science teams to translate computational workflows into robust, production-grade distributed systems.\n\nWhat We're Looking For:\n3+ years of industry experience in backend, infrastructure, or distributed systems engineering.\n\nStrong proficiency in at least one programming language (e.g., Python, Go, Rust, or similar).\n\nExperience designing and operating distributed systems in production.\n\nDeep hands-on experience with containerization and Kubernetes.\n\nExperience with infrastructure-as-code tooling (e.g., Terraform, Pulumi, or equivalent).\n\nExperience operating systems on at least one major cloud provider (AWS, GCP, or Azure).\n\nHands-on experience building or operating large-scale distributed file systems, storage platforms, or databases in production.\n\nComfort owning systems end-to-end in fast-moving, high-autonomy environments.\n\nNice to Haves:\nExperience in building R&D infrastructure at Pharma/Biotech.\n\nExperience supporting data-intensive scientific computing, bioinformatics, HPC, or ML workloads.\n\nExperience with job orchestration, task scheduling, or workflow engines.\n\nExperience with sandboxed or isolated execution frameworks (e.g., gVisor, Kata Containers, Firecracker).\n\nFamiliarity with distributed storage, observability systems, or high-performance compute environments.\n\nWhy Join Us?\nCompetitive salary and equity share in building the future of biomedical discovery\n\nFull medical, dental, and vision coverage, including free therapy sessions and eyewear stipend\n\n401(k) to help you build long-term financial security (US only)\n\nUnlimited PTO to recharge when you need it (US only)\n\nLunch and snacks when you're in the office\n\nRegular team offsites and company events\n\nA culture of excellence and speed - we move fast, think big, and support each other every step of the way\n\nYour work will directly impact our mission to 100X biomedical discoveries through AI","description_format":"text","description_chars":3712,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Company events","Equity","Unlimited PTO"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","AI Agents","Biomedical Engineering"],"lifecycle":[{"event":"open","at":"2026-09-12T04:56:25Z"}],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.375,"p_room":0.28,"age_days":171,"expected_fill_days":31,"reasons":["conf:10","win:tail","crowd:"],"computed_at":"2026-09-24T05:45:00Z"},"pay":{"stated_usd_annual":300000,"is_top_pay":true},"html_url":"https://alion.io/job/phylo-member-of-technical-staff-system-engineering","json_url":"https://alion.io/job/phylo-member-of-technical-staff-system-engineering.json","meta":{"generated_at":"2026-09-24T17:17:27Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}