Define and manage on-prem and cloud infrastructure using IaC (Terraform or equivalent).
Stand up and maintain core storage and compute infrastructure, including centralized storage, VMs, and K8s clusters.
Configure secure network boundaries, ACLs, and monitoring systems.
Deploy and manage internal scientific services (e.g., OMERO) and software-facing services (e.g., Dagster).
Establish conventions for reproducible, self-service deployment of pipelines and applications.
Partner with scientists and data engineers to ensure reliable, performant access to data and compute.
Drive continuous improvement of uptime, observability, and deployment velocity.

Requirements

5–10+ years of experience building and operating infrastructure in on-premises environments.
Strong fluency in Terraform (or similar IaC), Ansible (or comparable configuration management tooling), Linux systems, and container orchestration (K8s).
Experience with ZFS, fACLs, and network-level access control.
Deep understanding of CI/CD, observability, and configuration management.
Strong software fundamentals and working understanding of the process of deploying Python code to production.
Proven ability to balance reliability, security, and velocity in a research or data-heavy environment.
Comfort supporting production users and scientific workloads with minimal abstraction layers.
Comfort owning systems end-to-end—from design and implementation to deployment and monitoring.
Interest in enabling science through infrastructure excellence—no prior biology experience required.

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

TerraformAnsibleLinuxKubernetesZFSfACLsCI/CDobservabilityconfiguration managementPython

Soft Skills

reliabilitysecurityvelocitycollaborationproblem-solvingcommunicationcontinuous improvementuser supportownershipadaptability