--- title: 'Member of Technical Staff - Infrastructure at Phylo, Inc.' canonical: 'https://feeny.ai/job/member-of-technical-staff-infrastructure-phylo-inc-toronto-q1gkts3r79qs' type: 'job' last_seen: '2026-09-12' --- # Member of Technical Staff - Infrastructure at Phylo, Inc. - **Company:** Phylo, Inc. - **Location:** Toronto, Canada - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-05-05 - **Last confirmed live:** 2026-09-12 - **Apply:** https://jobs.ashbyhq.com/phylo/bd65ddd3-69a5-4eb8-809e-23dbe5a6d945 ## Job description ## About Phylo Phylo 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. Our 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. ## About the Role We’re looking for an Infrastructure Engineer to build, operate, and scale the deployment foundations for Phylo’s enterprise AI platform. This role is focused on the systems that let Phylo run reliably in real-world customer environments: cloud infrastructure, Kubernetes, secure single-tenant deployments, observability, networking, storage, and operational workflows. You’ll help bring Phylo’s agentic AI platform into enterprise pharma, biotech, and research environments where security, reliability, data isolation, and deployment discipline matter deeply. You’ll work closely with engineering, ML, science, and customer-facing teams to make Phylo easy to deploy, monitor, support, and scale across cloud and customer-managed environments. What you’ll do as a Member of Technical Staff - Infrastructure at Phylo: - Design, build, and operate infrastructure for Phylo’s enterprise deployments, including single-tenant and customer-hosted environments. - Build deployment systems for cloud-native and enterprise environments, own Kubernetes-based infrastructure for Phylo services, sandboxed agent execution, compute workloads, storage mounts, networking, and observability. - Support infrastructure for scientific and computational workloads, including HPC-adjacent workflows, bioinformatics tools, batch execution, GPU/CPU compute, and large-scale file/data movement. - Work with customer-facing teams to support enterprise deployment planning, debugging, reliability reviews, and production operations. - Help define the long-term architecture for deploying Phylo into pharma, biotech, academic, and research environments. What We're Looking For: - 2+ years of industry experience in infrastructure engineering, DevOps, SRE, platform engineering, cloud engineering, or a similar role. - Strong hands-on experience with Kubernetes in production. - Experience deploying and operating systems on AWS, GCP or Azure. - Experience with infrastructure-as-code tools such as Terraform, Pulumi, CDK, or similar. - Strong understanding of networking, IAM, VPCs, load balancers, DNS, certificates, secrets management, and cloud security fundamentals. - Experience building CI/CD pipelines, deployment automation, environment provisioning, and operational tooling. Nice to Haves: - Experience deploying enterprise SaaS into single-tenant, customer-hosted, VPC-isolated, or regulated environments. - Experience building or maintaining R&D infrastructure in pharma, biotech, academic research, or life sciences organizations. - Experience with HPC, bioinformatics infrastructure, scientific computing, workflow engines, or batch schedulers. - Experience with tools or systems such as Nextflow, Snakemake, Cromwell, Slurm, AWS Batch, EKS, ECS, FSx, Lustre, S3, or distributed filesystems. - Experience with secure sandboxing or isolated execution environments such as gVisor, Kata Containers, Firecracker, or Kubernetes sandboxing. - Experience supporting GPU-enabled workloads, large-scale data processing, or scientific compute clusters. - Experience with enterprise identity, SSO, audit logging, compliance controls, customer networking, VPNs, private connectivity, or data residency requirements. - Experience working directly with enterprise customers during deployment, onboarding, debugging, or production support. Why Join Us? - Competitive salary and equity share in building the future of biomedical discovery - Full medical, dental, and vision coverage, including free therapy sessions and eyewear stipend - 401(k) to help you build long-term financial security (US only) - Unlimited PTO to recharge when you need it (US only) - Lunch and snacks when you're in the office - Regular team offsites and company events - A culture of excellence and speed - we move fast, think big, and support each other every step of the way - Your work will directly impact our mission to 100X biomedical discoveries through AI ## About Phylo, Inc. ## Company Overview - **One-liner**: An applied research lab building agentic AI for biomedical scientists, creating an Integrated Biology Environment (IBE) that functions as an IDE for biology. - **Entity Type**: Private (Seed stage – $13.5M raised) - **Headquarters**: South San Francisco, California, USA - **Founded**: 2025 - **Founders**: Kexin Huang (CEO) and Yuanhao Qu (President) ## Core Business - **Primary industries**: Artificial Intelligence / Biotechnology / Research Services - **Target customers**: Biomedical scientists, research institutions, and biopharma enterprises (B2B) - **Mission**: “Accelerate discoveries for every biomedical scientist” — building a collaborative AI workspace that lets biologists design experiments, analyze data, and reason through the scientific process in one environment. ## Products & Services - **Biomni Lab** (Integrated Biology Environment – IBE) **Type**: AI-native platform (SaaS) A shared workspace where biologists and AI agents collaborate. Covers literature review, experiment design, data analysis, result interpretation, reagent ordering, and integration with external tools and robotic labs. Designed to be rigorous, personalized, and native to how biologists work. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Total funding $13.5M (Seed round, February 2026); estimated annual revenue $264K - **Notable Investors/Partners**: Andreessen Horowitz (lead), Anthology Fund, Menlo Ventures (conflicting reports – Tracxn lists Menlo Ventures, LinkedIn names Anthology Fund) - **Growth Signals**: - 8 full-time employees (LinkedIn) + 6 active job postings - Monthly headcount growth of +33.3% and job posting growth of +500% (LinkedIn) - First of its kind “Integrated Biology Environment” concept generating industry interest ## Competitive Advantages - **Scientific rigor built in**: Agents are designed to challenge their own outputs, flag shaky assumptions, and keep a trail of evidence for reproducibility. - **Native to biology**: Interface and interactions are based on biological concepts and real researcher workflows, not generic AI. - **Personalized and collaborative**: The environment adapts to individual researcher preferences and tools, acting as a true partner. - **Enterprise-grade security**: ISO 27001 certified and SOC 2 Type II compliant, ensuring data protection. ## Strategic Focus - Continue advancing the IBE to close the loop between experiment design and robotic lab execution, reducing discovery cycles from weeks to hours. - Expand integration with biomedical databases, models, and lab hardware. - Scale the platform to serve more research organizations while maintaining scientific rigor and pragmatic usefulness. ## Why Work Here - **Culture**: Small, flat team (≈8 people) at an early stage, offering high ownership and impact. Founders (Kexin Huang, Yuanhao Qu) come from Stanford and have backgrounds in AI and biology. - **Work policy**: Hybrid workspace with offices in South San Francisco (HQ), the Netherlands, and India; remote-friendly options. - **Notable perks**: Cutting-edge applied research at the intersection of AI and biology; access to enterprise-grade infrastructure; chance to shape the next standard biomedical research tool. - **Tech stack**: Kubernetes, Python, React, TypeScript, Nextflow, Slurm, Terraform, Lustre. - **Open roles** (as of mid-2026): Engineering (Product, Systems, Infrastructure), Computational Biology, Enterprise GTM, Customer Success. ## Sources 1. [phylo.bio](https://phylo.bio) 2. [Phylo vision blog](https://phylo.bio/blog/vision) 3. [Built In company profile](https://builtin.com/company/phylo) 4. [LinkedIn company page](https://www.linkedin.com/company/phylo-bio) 5. [Tracxn company profile](https://tracxn.com/d/companies/phylo/__AluRJyaowMkNbsC-e9g_avW8Xbdxb26Epw4168-RJd4) ## Other roles at Phylo, Inc. - [Member of Technical Staff – Product Engineering](https://feeny.ai/job/member-of-technical-staff-product-engineering-phylo-inc-south-san-francisco-9j54arsktha1) — South San Francisco, CA - [Recruiter](https://feeny.ai/job/recruiter-phylo-inc-south-san-francisco-pq8ydahxd8ve) — South San Francisco, CA - [Security & Compliance Manager](https://feeny.ai/job/security-compliance-manager-phylo-inc-toronto-drnaahmvpbe7) — Toronto, Canada - [Opportunistic Role](https://feeny.ai/job/opportunistic-role-phylo-inc-south-san-francisco-fc3evqtgt6bm) — South San Francisco, CA - [Member of Technical Staff - Agent Engineer](https://feeny.ai/job/member-of-technical-staff-agent-engineer-phylo-inc-south-san-francisco-zy1rm4865jh5) — South San Francisco, CA - [Member of Technical Staff - Forward Deployed Scientist](https://feeny.ai/job/member-of-technical-staff-forward-deployed-scientist-phylo-inc-south-san-e46qrrfnczag) — South San Francisco, CA - [Enterprise Account Executive](https://feeny.ai/job/enterprise-account-executive-phylo-inc-toronto-9944387tadgk) — Toronto, Canada / San Francisco Bay Area - [Forward Deployed Strategist](https://feeny.ai/job/forward-deployed-strategist-phylo-inc-toronto-pxa2ayvc7xmf) — Toronto, Canada / San Francisco Bay Area - [Member of Technical Staff - System Engineering](https://feeny.ai/job/member-of-technical-staff-system-engineering-phylo-inc-south-san-francisco-pjm60bthndbx) — South San Francisco, CA - [Member of Technical Staff - Infrastructure](https://feeny.ai/job/member-of-technical-staff-infrastructure-favorited-santa-monica-34z8pfek0hz5) — Santa Monica, CA