Design, build, test, and ship features spanning back-end services and front-end interfaces for our B2B biology products.
Take features from idea to production and own them in operation, balancing speed with quality and maintainability.
Design and maintain robust, scalable services and APIs (REST, gRPC) that compose our packaged models into product capabilities.
Build data workflows and work fluently with our core stack (Python, SQL, and related technologies).
Build product on top of the SDK and model packages produced by our Product Engineers, and feed back what the product layer needs from those interfaces.
Set engineering patterns and standards for the surfaces you own, lead design on ambiguous, cross-cutting problems, and mentor other engineers through code review and pairing.
Use agentic coding tools (e.g., opencode, Claude) to accelerate delivery, and help shape how our team adopts AI-native development workflows.
Work closely with Product Engineers and platform/infra engineers to align what we build with real scientific and customer needs.
Requirements
Advanced Python Proficiency: Several years of experience writing clean, well-tested, maintainable Python in production, with a track record of owning features end to end.
Full-Stack Capability: Strong across back-end services and comfortable with modern front-end development (JavaScript/TypeScript with a modern framework such as React, Vue, or similar).
Data & Storage: Solid working knowledge of SQL and designing sensible data workflows.
Cloud Deployment Expertise: Hands-on experience deploying applications and ML models in the cloud (AWS strongly preferred; GCP/Azure a plus) using containers (Docker, Kubernetes).
Software Engineering Fundamentals: Strong grasp of core computer science principles, data structures, and modern CI/CD workflows.
Communication & Collaboration: Clear Communication: You can explain technical concepts to diverse audiences (from PhD scientists to DevOps engineers) with clarity and empathy.
Education: MSc or equivalent experience in Computer Science or a related technical field.
Languages: Full professional fluency in English is required for this role.
Tech Stack
AWS
Azure
Cloud
Docker
Google Cloud Platform
GRPC
JavaScript
Kubernetes
Python
React
SQL
TypeScript
Vue.js
Benefits
Flexible work arrangements, including remote options
Competitive salary and equity package
Opportunities for professional growth and leadership development
Shape the future of biology and AI by contributing to groundbreaking work.