About The Position

Science Vault is currently a working but mostly manual data publishing workflow for research/scientific computing data. It publishes data from ASC/PCluster environments into an S3-backed, read-only storage model with metadata capture, access through sciencevault.amgen.com, and controls tied to Okta, AD groups, and S3 permissions. The immediate need is someone who can own the closing engineering work: stabilize the workflow, reduce manual steps, improve usability, and help make it supportable for broader Research use.

Requirements

  • Strong Python scripting and CLI development
  • AWS S3 experience, including bucket structure, versioning, permissions, and access patterns
  • IAM/security awareness, ideally with Okta, AD groups, or enterprise auth integration
  • Linux/HPC environment familiarity, especially working from shared filesystems or cluster environments
  • Ability to work with metadata capture, validation, and structured data manifests
  • Practical debugging, logging, packaging, and operational hardening experience

Nice To Haves

  • Web app or lightweight portal development for self-service publishing/access
  • Familiarity with data cataloguing, FAIR metadata, MMDS, or scientific data management
  • Experience building supportable internal tools with documentation and handoff materials
  • Comfort working with scientists/research users

Responsibilities

  • Stabilize the workflow
  • Reduce manual steps
  • Improve usability
  • Make it supportable for broader Research use
  • Convert rough workflows into usable products
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