As a Senior Software Engineer, you will partner with engineers, scientists, product managers, and business teams to identify high-leverage opportunities and build common solutions. You will 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.

Key responsibilities include:

• Leading projects end-to-end and contributing to impactful platform initiatives
• Partnering with engineers, scientists, product managers, and business teams to identify high-leverage opportunities and build common solutions
• Integrating open-source, enterprise, and SaaS technologies into our evolving stack
• Designing and shipping components of a new platform architecture to enable multi-tenancy, fine-grained data governance, workload isolation, and scaling
• Contributing to the growth of our Data Lakehouse platforms, enabling well-governed data products for analytical and operational use cases
• Continuously improving the Research Platform to meet our Science's evolving needs for experimentation, ML Ops, data processing, and analysis
• Helping shape how we approach data modeling, context engineering, and emerging semantic layers to make data easier to discover and use
• Advocating for a product mindset within Platform and Data engineering at Freenome, focusing on developer effectiveness and platform usability
• Exploring and piloting AI-assisted or agentic workflows to enhance individual and team productivity, sharing learnings with the broader organization
• Collaborating through system design, code reviews, and pairing, promoting a strong team culture of accountability, learning, and psychological safety
• Supporting platform users to troubleshoot issues and unblock critical work

Requirements include:

• 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 have includes 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.

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