Senior Software Engineer II - Remote

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 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.

Nice to haves:

• 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.

Benefits and additional information:

The US target range of our base salary for new hires is $161,925 - $227,325. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered. Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education.