Senior Software Engineer II

Freenome is an innovative company dedicated to changing the landscape of cancer detection, and they are seeking a Senior Software Engineer II to join their Engineering team. The role involves designing, building, and maintaining scalable backend services, collaborating with interdisciplinary teams, and mentoring junior engineers to enhance the team's technical expertise.

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