About the roleWe'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, 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.
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 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
