Member of Technical Staff - Infrastructure
Phylo - Toronto (hybrid), Toronto, Ontario, Canada
Posted May 5, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
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- Salary
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
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- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Member of Technical Staff - Infrastructure Toronto (hybrid), Toronto, Ontario, Canada 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, enabling faster and more systematic scientific progress. 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 Work On - 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,
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