System Infrastructure / Platform Engineer

LTD GlobalBerkeley, CA
$85 - $90

About The Position

We are seeking a talented and versatile Software / API Engineer to join a dynamic team building software systems that integrate scientific workflows and large-scale supercomputing environments. This is a unique opportunity to work at the intersection of cutting-edge science and technology, contributing to some of the most impactful computing infrastructure in the world.

Requirements

  • 8+ years of related experience with a Bachelor's degree; 6+ years with a Master's degree; or equivalent
  • 2+ years of experience with API and web services software development on Linux systems in an HPC, cloud, or hyper-scale environment
  • Familiarity with designing and building API interfaces to compute, storage, or other backend systems
  • Experience with C, Shell, and Python programming languages
  • Experience with Git, runners, and complex CI/CD pipelines
  • Experience with AI or machine learning tools and services
  • Experience with database administration (MongoDB, MySQL, or PostgreSQL)
  • Experience with container technology (Docker or Kubernetes)
  • Strong understanding of software engineering best practices for performance and security
  • Excellent communication skills and a collaborative, creative work style
  • 12+ years of related experience with a Bachelor's degree; 8+ years with a Master's degree (for Level 4)
  • Experience with OpenAPI and other API frameworks (for Level 4)
  • Experience managing Linux systems and deploying/managing virtualization or container technologies (for Level 4)
  • Ability to lead and coordinate projects and exercise independent judgment (for Level 4)
  • Experience analyzing and resolving complex, unique technical issues (for Level 4)

Responsibilities

  • Develop and maintain a broad portfolio of software projects
  • Build, refine, and support API endpoints and integrations to backend systems to enable automation for complex workflows
  • Troubleshoot and resolve complex technical problems in collaboration with team members
  • Develop and refactor scripts and other code
  • Coordinate small project teams or initiatives such as new service rollouts or major system upgrades
  • Work with vendors to prioritize efforts and enhance technologies to meet user needs
  • Deploy services using container cloud platforms based on Kubernetes
  • Collaborate across teams to develop APIs and services integrated into high-performance computing and data center environments
  • Present developments to staff and the broader HPC community at conferences and industry meetings
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