Senior Software Engineer II

Freenome is a company focused on scientific innovation and data intelligence for multi-cancer detection blood tests. They are seeking a Senior Software Engineer to lead impactful platform initiatives and collaborate with cross-functional teams to enhance their platform capabilities.

Responsibilities:

• 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

Requirements:

• 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
• Columnar data processing, open lakehouse technologies and table formats
• Supporting researchers, data scientists, AI/ML teams
• Flyte or other modern workflow orchestrators
• Everything as Code approach to infrastructure, policies, data
• Operating production systems in Microsoft Azure
• Open-Source contribution and maintenance