Senior Software Engineer, Freenome

• Determined, mission-driven, results-oriented and fueled by the opportunity to change the landscape of cancer and make a positive impact on patients’ lives
• The ideal candidate has contributed to building internal platforms and is comfortable working in a dynamic environment, adapting to rapid technological progress and changing research priorities
• 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

Desirable

• At Freenome, we are seeking a Senior Software Engineer to scale the next generation Research Platform that accelerates our mission to develop accessible solutions to combat cancer
• You will closely partner with Product Managers and other infrastructure and product software engineers to drive innovation, contributing to the success of Freenome as a whole
• In this role you will be at the core of a world-class interdisciplinary group including Research engineers, ML Scientists, Bioinformaticists, Computational Biologists, Biostatisticians
• The role reports to our engineering management team
• This role will be a remote position based anywhere in the US
• 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