Software Engineer, Full Stack (Process Execution)

Responsibilities

• Build and maintain core features across the workflow engine, recipes, and assays — full-stack across backend services and frontend product surfaces
• Contribute to the data layer modeling that underpins workflow graph structures and task execution tracking
• Build products on top of the workflow orchestration engine for industry standard processes
• Collaborate cross-functionally with the AI Agents team to expose both the workflow engine and products built on top to enable AI-assisted scientific work
• Write well-documented, well-tested code and participate actively in code review
• Engage with on-call rotation (approximately 1.5 weeks per person per quarter) to support a customer-facing product used continuously by life science teams
• Partner with product management and design to translate complex scientific workflow needs into intuitive, reliable software
• Embrace AI-assisted development practices — this team expects engineers to work alongside and in parallel with agents as a core part of the development workflow

Qualifications

• 3+ years of professional software engineering experience building and maintaining production systems
• Full-stack experience — comfort working across backend (Python or similar) and frontend (React or equivalent)
• Strong product sense with the ability to iterate based on user feedback and evolving requirements
• Collaborative mindset — able to work closely with engineers, PMs, and cross-functional partners across a complex codebase
• Willingness to engage with AI-assisted development tools (Cloud agents, Cursor, Claude Code, or equivalent) as a primary mode of working
• Interest in learning about life sciences — prior biotech knowledge not required, but genuine curiosity is