6 months ago
Base Salary
$162k - $227k/yr
Responsibilities
- Lead projects end to end and contribute to platform initiatives supporting R&D, operational excellence, and business intelligence.
- Partner with engineers, scientists, product managers, and business teams to identify opportunities and build common solutions.
- Integrate open-source, enterprise, and SaaS technologies into the platform stack.
- Design and ship platform architecture supporting multi-tenancy, fine-grained data governance, workload isolation, and scaling.
- Grow data lakehouse platforms and enable governed data products for analytical and operational use cases.
- Improve the Research Platform for experimentation, ML Ops, data processing, and analysis.
- Shape data modeling, context engineering, and emerging semantic-layer practices.
- Promote a product mindset focused on developer effectiveness and platform usability.
- Explore AI-assisted and agentic workflows and share learnings across the organization.
- Participate in system design, code reviews, and pairing while supporting platform users and troubleshooting critical issues.
Requirements
- 6+ years of experience building and operating highly reliable production software systems, preferably in platform engineering or a similar environment.
- Proficiency with Python and experience with at least one other high-level programming language.
- Strong knowledge of Linux fundamentals, including networking and containerization.
- Hands-on experience operating cloud services, storage, and compute with infrastructure as code using at least one major cloud provider, preferably Azure or GCP.
- Operational experience managing and optimizing large Kubernetes clusters, including single- or multi-cluster environments with thousands of nodes.
- Experience with reliability, observability, performance tuning, and operational excellence.
- Excellent communication and documentation skills, cross-functional collaboration, and tradeoff navigation.
- BS or higher in computer science or a related technical field, or comparable experience.
- Preferred experience includes columnar data processing, open lakehouse technologies and table formats, supporting researchers or AI/ML teams, Flyte or other workflow orchestrators, infrastructure and policies as code, Microsoft Azure production systems, and open-source contribution and maintenance.
Benefits
- Remote role.
- US base salary range of $161,925-$227,325, plus eligibility for equity, cash bonuses, and medical, financial, and other benefits.
- Equal-opportunity employer with legally protected applicant rights and protections.
Categories
Data EngineeringDevOps
About Freenome
Freenome develops blood-based cancer screening tests for healthcare providers, using a multiomics platform and machine learning to detect disease at early stages. The company’s initial product targets early colorectal cancer and advanced adenomas, with supporting software and data platforms used across its commercial, laboratory, and R&D operations. Founded in 2014 and headquartered in Brisbane, California, Freenome is privately held.