Phylo
Member of Technical Staff - Infrastructure
Toronto (hybrid) · Staff+
Sponsorship not specifiedDetected 79 days ago
AWSGCPCloud PlatformsKubernetesTerraformCI/CDDevOpsSite Reliability EngineeringPlatform EngineeringMachine LearningAgentic AICybersecurityDNSBioinformaticsResearch
About the role
- 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.
Responsibilities
- Design, build, and operate infrastructure for Phylo's enterprise deployments, including single-tenant and customer-hosted environments.
- Work with customer-facing teams to support enterprise deployment planning, debugging, reliability reviews, and production operations.
Requirements
- 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 deploying enterprise SaaS into single-tenant, customer-hosted, VPC-isolated, or regulated environments.
- 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.
Skills
- Help define the long-term architecture for deploying Phylo into pharma, biotech, academic, and research environments.
Compensation
- Competitive salary and equity share in building the future of biomedical discovery
Company info
- We're looking for an Infrastructure Engineer to build, operate, and scale the deployment foundations for Phylo's enterprise AI platform.
This listing is sourced directly from Phylo's careers page and normalized into a canonical job model.