Senior Software Engineer II
Freenome
π΅ $161k-$247k
πRemote - Worldwide
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Job highlights
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
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