Senior Software Engineer, Infrastructure

Hlx Life Sciences • United State
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AI Summary

Join a mission-driven AI company to build and scale core systems behind AI and scientific platform. Collaborate with teams to support large-scale data analysis and evidence generation. Optimize systems for performance, scalability, and reliability.

Key Highlights
Own infrastructure across cloud and secure research environments
Collaborate with AI, research, and engineering teams
Optimize systems for performance, scalability, and reliability
Contribute to platform development supporting thousands of scientists globally
Technical Skills Required
HPC AWS GCP Azure Infrastructure-as-code Python REST GraphQL Bioinformatics Genomics
Benefits & Perks
Competitive compensation
Equity opportunities
Hybrid/on-site flexibility
Relocation support available

Job Description


Join a mission-driven AI company working to transform the future of drug discovery and development.


Most attempts to develop new medicines fail, and the process is often slow, costly, and data-limited. Our team is building advanced AI systems that analyze large-scale human genetic and multi-omic datasets to uncover new biological insights and accelerate the development of next-generation therapeutics.


We are seeking a high-agency Software Engineer, Infrastructure to help build and scale the core systems behind our AI and scientific platform. Your work will have a direct impact on how quickly new discoveries move toward helping patients.


What You Will Do

  • Own infrastructure across cloud and secure research environments, including compute, storage, and data layers.
  • Collaborate closely with AI, research, and engineering teams to support large-scale data analysis and evidence generation.
  • Optimize systems for performance, scalability, and reliability in high-compute environments.
  • Contribute to platform development that will support thousands of scientists globally.


What You Bring

  • 3+ years of engineering experience in high-growth, product-driven tech environments.
  • Strong experience with HPC, cloud platforms (AWS, GCP, Azure), infrastructure-as-code, and modern AI tooling.
  • Proven ability to design and scale data systems, from unstructured data lakes to relational schemas; experience in bioinformatics or genomics is a plus.
  • Experience designing intuitive APIs (Python, REST, GraphQL).
  • Ability to operate effectively in fast-moving environments with shifting priorities.
  • Bonus: background or interest in biology, medicine, or drug discovery.


Why Join Us

  • Work directly with some of the world’s largest real-world human datasets.
  • Lead high-impact projects with autonomy and visibility.
  • Competitive compensation, equity opportunities, and hybrid/on-site flexibility, with relocation support available.
  • A culture that values scientific excellence, curiosity, and integrity.


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