Scientific Computing Platform Engineer - Remote

[Praveen Jayathi]

Title: Scientific Computing Platform Engineer

Location: Remote

JD:

Science Vault is currently a working but mostly manual data publishing workflow for research/scientific computing data. It publishes data from ASC/Cluster environments into an S3-backed, read-only storage model with metadata capture, access through Client website 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.

Core skills needed:

• 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

Helpful additional skills:

• 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 to convert rough workflows into usable products

Primary Skills: Python, AWS S3, Linux, IAM/Okta integration, HPC and cluster computing environments, metadata management, workflow automation, and scientific computing.

Minimum experience: 5+ Years.