Description
We are seeking a Senior Software Engineer to join our Platform team. This role will involve leading projects end-to-end and contributing to impactful platform initiatives that power R&D, operational excellence, and business intelligence analytics.
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.