Staff Software Engineer, Data Infrastructure, Ai Compute Platform

Biohub

Redwood City, CA, USA
Base: $214,000 - $295,000; bonus/equity: discretio...
Hybrid (60% onsite, approximately 3 days a week)
Data lifecycle tooling and infrastructure
Scalable data processing and orchestration
Data management and access
Biohub is seeking a Staff Software Engineer for their Data Infrastructure team to enhance AI-powered solutions for biomedical research. The ideal candidate should have extensive experience in software development, data management, and collaboration within cross-functional teams

Job Summary

  • Develop and maintain tooling and infrastructure for the entire data lifecycle at Biohub, supporting cutting-edge research and AI model training.
  • Design and implement flexible, scalable, and performant systems for mass-scale job processing and orchestration using technologies like Argo Workflows, Slurm, and AWS Parallel Cluster.
  • This hybrid role requires being onsite at least 60% of the working month, with benefits including 401(k) match, paid volunteer time off, and relocation support.

Matching Summary

Match Score: 85

Biohub is seeking a Staff Software Engineer for their Data Infrastructure team to enhance AI-powered solutions for biomedical research. The ideal candidate should have extensive experience in software development, data management, and collaboration within cross-functional teams.

Salary

Base: $214,000 - $295,000; Bonus/Equity: discretionary annual performance bonus program; Benefits: 401(k) match, paid volunteer time off, family-forming benefits, relocation support

Skills & Requirements

Must-have

  • Data lifecycle tooling and infrastructure
  • Scalable data processing and orchestration
  • Data management and access
  • CI/CD pipelines for data infrastructure
  • Observability and monitoring tooling
  • Containerized applications on Kubernetes/Mesos
  • Cloud platforms (AWS, GCP, Azure)

Nice-to-have

  • Hybrid cloud environments
  • Infrastructure as Code
  • Collaboration with cross-functional stakeholders

Key Requirements

  • 8+ years of hands-on coding experience
  • BS, MS, or PhD in Computer Science or equivalent experience
  • Experience with data governance, metadata, and data lineage tooling
  • Experience with data pipelines for Deep Learning model training
  • Extensive experience scaling containerized applications on Kubernetes or Mesos

Work Rights

Not specified

Tailored Resume

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