Staff Engineer at fast-growing biotech AI startup

Jack & Jill/External ATS

2d

About The Position

You will lead the technical evolution of a proprietary inference platform, moving it from internal research tool to production-ready product. As a high-impact generalist, you will architect cloud infrastructure, design greenfield database systems for biochemical data, and build robust APIs. This role directly enables groundbreaking research by bridging the gap between ML models and scientific discovery.

Requirements

• At least 5 years of software engineering experience with a proven ability to own complex distributed systems and data pipelines end-to-end.
• Strong proficiency in Python and hands-on experience with cloud platforms, Docker containerization, and infrastructure-as-code tools like Terraform.
• Pragmatic, high-agency mindset with experience building tools for scientific computing or research teams and a willingness to work across the full stack.

Responsibilities

• Design and implement a greenfield database architecture to unify structured biochemistry data with unstructured experimental results for ML training.
• Transition internal inference models into production-ready external services, including API development, security hardening, and observability.
• Manage and automate cloud infrastructure across multi-account environments using Terraform, migrating legacy systems to modern AWS configurations.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed