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 and analysis
Help shape how we approach data modeling, context engineering and emerging semantic layers to make data easier to discover and to use
Advocate for a product mindset within Platform and Data engineering at Freenome, focusing on developer effectiveness and platform usability
Explore and pilot AI-assisted or agentic workflows to enhance individual and team productivity, sharing learnings with the broader organization
Collaborate through system design, code reviews and pairing, promoting a strong team culture of accountability, learning, and psychological safety
Support platform users to troubleshoot issues and unblock critical work
Model Freenome’s values and principles in your work and interactions

6+ years of experience building and operating highly reliable production software systems, preferably in platform engineering teams or similar
Proficiency with Python and experience with one or more other high-level programming languages
Strong knowledge of Linux fundamentals including networking and containerization
Hands-on experience operating cloud services, storage and compute using IaC with at least one major cloud provider, preferably Azure or GCP
Operational experience managing and optimizing large Kubernetes clusters, preferably in single or multi-cluster environments with thousands of nodes
A pragmatic approach to reliability, observability, performance tuning, and operational excellence
Excellent communication and documentation skills
Comfort with cross-functional collaboration and navigating tradeoffs
BS or higher in computer science or a related technical field, or comparable experience

Senior Software Engineer

Key skills