Senior Software Engineer II

Freenome is seeking a Senior Software Engineer II to join their innovative Engineering team. The ideal candidate will play a crucial role in designing, building, and maintaining backend services that support the mission to detect cancer early.

Responsibilities:

• Design, develop, and deploy reliable, maintainable, scalable, and fault-tolerant backend services that power both our internal and external systems
• Collaborate with interdisciplinary teams, including scientists, product managers, and other engineers, to solve complex problems and deliver high-quality software solutions
• Mentor and guide junior engineers, fostering their growth and enhancing the team's technical expertise
• Lead code and design reviews, champion engineering best practices and promote a culture of quality and collaboration
• Contribute to the development of data infrastructure for machine learning applications, ensuring efficient data processing and integration
• Drive the implementation of engineering hygiene practices, ensuring the reliability and maintainability of our systems
• Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality

Requirements:

• Bachelor of Science in Computer Science, Engineering, or related field or equivalent training, fellowship, and/or work experience
• At least 8 years of experience as part of a software development team successfully shipping software products, including leading projects from end-to-end and mentoring others
• Proficiency in Python and experience with backend development in a team production environment
• Strong experience with containerization and orchestration technologies such as Docker and Kubernetes
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud Platform
• Proven experience in designing and implementing scalable backend systems, with a focus on reliability and performance
• Excellent written and verbal communication skills, with a mindful and transparent approach to collaboration
• Understanding of statistical and machine learning methods, with practical experience in applying them to real-world problems
• Expertise in developing ETL or data pipelines that run at scale, utilizing common workflow management systems like Flyte, Airflow, or similar
• Domain-specific experience in computational biology, genomics, bioinformatics, or a related field
• Experience working in an FDA regulated environment, with a strong understanding of compliance requirements and best practices