Senior Software Engineer II
Freenome - Remote
Posted Feb 23, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Senior Software Engineer II Remote About this opportunity: At Freenome we are seeking a Senior Software Engineer to grow our Platform team. This is an opportunity to join a stellar group of engineers with the mission to enable scientific innovation, cross-functional collaboration and data intelligence as we move from R&D to the commercial launch of our lifesaving multi-cancer detection blood tests. This team builds and operates the multi-tenant platform that provides a governed data lakehouse and query infrastructure, scalable batch and distributed compute, and self-service environments for development and analytics to an interdisciplinary user base across all Freenome. The ideal candidate has experience building internal platforms, enjoys collaborating with other domain experts, and is comfortable operating in a fast-evolving technical and organizational environment. The role reports to our engineering management team. This role will be a Remote role. What you'll do: - Lead projects end to end and contribute to impactful platform initiatives that power R&D, operational excellence and business intelligence analytics. - Partner with engineers, scientists, product managers and business teams to identify high-leverage opportunities and build common solutions. - Integrate open-source, enterprise and SaaS technologies into our evolving stack. - Design and ship components of a new platform architecture to enable multi-tenancy, fine-grained data governance, workload isolation and scaling. - Contribute to the growth of our Data Lakehouse platforms, enabling well governed data products for analytical and operational use cases. - Continuously improve the Research Platform to meet our Science's evolving needs for experimentation, ML Ops, data processing
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