Freenome

Senior Software Engineer

Freenome

full-time

Posted on:

Location Type: Remote

Location: United States

Visit company website

Explore more

AI Apply
Apply

Salary

💰 $161,925 - $227,325 per year

Job Level

About the role

  • 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
Benefits
  • You will also be eligible to receive equity
  • cash bonuses
  • a full range of medical
  • financial
  • and other benefits depending on the position offered
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonLinuxcontainerizationcloud servicesIaCKubernetesdata modelingML Opsdata processingdata analysis
Soft Skills
communicationdocumentationcross-functional collaborationaccountabilitylearningpsychological safetyproduct mindsetpragmatic approachtroubleshootingteam culture
Certifications
BS in computer sciencehigher degree in technical field