Senior Software Engineer II

closed
Freenome Logo

Freenome

πŸ’΅ $161k-$247k
πŸ“Remote - Worldwide

Summary

Join Freenome, a high-growth biotech company developing cancer detection tests, as a Senior Software Engineer II. You will design, build, and maintain scalable backend services, collaborating with interdisciplinary teams. This remote US-based role requires extensive backend development experience, proficiency in Python, and expertise in containerization and orchestration. You will mentor junior engineers and champion best practices. Freenome offers a competitive salary, pre-IPO equity, cash bonuses, and a full range of benefits.

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

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, championing engineering best practices and promoting 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

Preferred Qualifications

  • 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, or a related field
  • Experience working in an FDA regulated environment, with a strong understanding of compliance requirements and best practices

Benefits

  • The US target range of our base salary for new hires is $161,925 - $247,000
  • Pre-IPO equity
  • Cash bonuses
  • A full range of medical, financial, and other benefits
This job is filled or no longer available