[Remote] Senior Software Engineer II
Note: The job is a remote job and is open to candidates in USA. Freenome is seeking a Senior Software Engineer to join their Platform team, which focuses on enabling scientific innovation and data intelligence for multi-cancer detection blood tests. The role involves leading projects, collaborating with cross-functional teams, and enhancing the platform architecture to support R&D and business analytics.
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
Skills
- 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
Benefits
- Equity
- Cash bonuses
- A full range of medical, financial, and other benefits depending on the position offered
Company Overview
Company H1B Sponsorship