Profluent is looking to build and lead a high-performing software team to develop a data platform that houses all data from protein engineering campaigns, enabling rapid machine learning and biological discovery.
Requirements
- Experience with backend and frontend frameworks, cloud platforms (GCP preferred), and databases (PostgreSQL, BigQuery)
- Strong proficiency in Python and modern development workflows (git, agile, CI/CD)
- Experience building or integrating scientific data systems (e.g., Benchling)
- Experience developing scientific or research-focused software
- Background working in cross-disciplinary teams (e.g., scientists, ML engineers, data engineers)
- Experience with high-throughput data pipelines or large-scale experimental datasets
Responsibilities
- Lead, mentor, and grow a software engineering team
- Define the product and own technical roadmap for the data platform
- Architect and deliver scalable cloud-native solutions for data integration, analysis, and user-facing applications
- Collaborate with leadership and facilitate cross-team alignment to ensure technical priorities support business goals
- Champion agile practices, peer reviews, and continuous delivery
Other
- BS, MS, or PhD in Computer Science or related field
- 7+ years of software engineering experience, including 2+ years in a leadership role
- Candidates must have ongoing work authorization in the United States that does not require employer sponsorship
- Generous PTO policy and commitment to work-life balance
- Professional development opportunities in a cutting-edge field at the intersection of AI and biology
