Senior Software Engineer I

Summary

Join Freenome, a high-growth biotech company, as a Senior Software Engineer to scale the next generation Research Platform. You will collaborate with various teams to develop and support computing and data platforms, build tools for distributed workflows, optimize Kubernetes clusters, and contribute to a modern data architecture. This remote US-based role requires 3-5 years of software engineering experience, proficiency in Python, cloud native service management, and experience with Docker and Kubernetes. The ideal candidate will have experience with Infrastructure as Code and strong communication skills. Freenome offers a competitive salary, pre-IPO equity, cash bonuses, and a full range of benefits.

Requirements

• 3-5 years of experience as a software engineer shipping highly reliable production systems, preferably as member of platform and backend teams
• Proficiency with Python and familiarity with one or more other high-level programming languages
• Experience managing cloud native services, storage and compute infrastructure on one or more public cloud providers, including GCP or Azure
• Experience with Docker and operating container orchestrator frameworks, preferably Kubernetes
• Hands-on experience managing CI/CD pipelines with Infrastructure as Code
• Experience driving performance, efficiency and usability improvements with proactive attitude to monitoring, debugging and relentless optimization
• Strong communication and documentation skills, and high empathy for users
• Ability to thrive in an environment where cross-functional collaboration, communication and compromise are part of your day-to-day work
• BS or higher in computer science or a related technical field, or comparable experience

Responsibilities

• Develop, scale and provide support on the computing and data platforms that power all Freenome’s research
• Understand user needs across a wide range of engineering and scientific disciplines, and create simple solutions to enhance their productivity
• Build tools and abstractions to orchestrate and track distributed workflows, supporting petabyte-scale data pipelines and ML model development
• Optimize our Kubernetes clusters for high-throughput batch processing, e.g. by scouting, deploying and tuning alternative schedulers and policy engines. We use Apache Yunikorn and Kyverno
• Collaborate with team mates through system design, code review and pairing
• Provide technical support and pair as needed with our scientific partners
• Contribute to develop our Data Lakehouse and other platform components of a modern data architecture
• Champion platform engineering best practices and a data as a product culture at Freenome

Preferred Qualifications

• Collaborating with research engineers, scientists, AI teams
• Terraform, Pulumi or other Infrastructure as Code tools
• Profiling and debugging at system level
• Observability and monitoring tools such as Prometheus, Grafana, ELK stack
• Flyte or other modern workflow orchestrators like Metaflow, Argo Workflows
• Distributed computing frameworks and design patterns
• Apache Iceberg or other data lake technologies like DeltaLake, Apache Hudi

Benefits

• Pre-IPO equity
• Cash bonuses
• Full range of medical, financial, and other benefits
• Family & Medical Leave Act (FMLA)