Senior Full Stack Engineer, Product & Infrastructure
2 days ago
Greater London
About the role Science Machine is building agentic AI software for automating bioanalysis workflows. Our platform helps scientists and bioanalysis teams turn complex analytical processes into reliable, repeatable, AI-assisted workflows across data ingestion, analysis, reporting, review, and compliance. We are looking for a Senior Full Stack Engineer to take ownership of both product and infrastructure development. This is a broad, hands-on engineering role for someone who is comfortable moving between user-facing product work, backend API design, database modelling, cloud infrastructure, Kubernetes workloads, and deployment pipelines. You will work close to the core product: building interfaces scientists use every day, designing the systems that run agentic workflows, and hardening the platform as it moves from pilots into production customer environments. What you'll do • Build product features across React, Next.js, and TypeScript., • Design, build, and maintain backend Python backend services and APIs., • Own PostgreSQL database design, data modelling, schema migrations, and query performance., • Build and maintain infrastructure using Terraform, Docker and Kubernetes, on GCP., • Improve the reliability, scalability, and maintainability of production systems., • Take part in on-call support to investigate and fix production issues when they arise., • Listen to user feedback, identify product opportunities, design practical solutions, test them with users, and ship improvements quickly., • Work with scientists, customers, and the wider team to turn real bioanalysis workflows into robust product capabilities., • Help shape engineering practices in a small, fast-moving technical team., • Make pragmatic technical decisions across the full stack, balancing product speed with long-term system quality. Essential experience • Strong full stack engineering experience with modern React, Next.js, TypeScript, and backend REST APIs., • Strong Python backend/API development experience., • Strong PostgreSQL experience, including schema design, migrations, indexing, and data modelling., • Experience managing cloud infrastructure with Terraform., • Experience running production workloads on GCP and Kubernetes., • Strong CI/CD and Git workflow experience., • Experience owning systems end to end, from design and implementation through deployment, monitoring, and debugging., • Experience supporting and maintaining production services, including complex system migrations with minimal downtime., • Comfort working in ambiguous, fast-moving environments where product and technical requirements evolve quickly. Nice to have • Experience with security, access control, RLS, authorisation, or compliance-conscious product development., • Experience with observability, incident response, production debugging, tracing, or reliability engineering., • Experience building agentic AI systems, and sandboxed execution environments for running untrusted code., • Experience with scientific, bioinformatics, cheminformatics, mass spectrometry, LC-MS, ADME, or regulated laboratory workflows., • Experience with Stripe billing, subscriptions, and team account management. Essential qualities • High ownership: you notice what needs doing and carry it through., • Product-minded: you care about whether scientists can actually use what you build., • Systems-minded: you can reason across frontend, backend, database, infrastructure, and deployment boundaries., • Pragmatic: you choose simple, robust solutions and avoid unnecessary abstraction., • Reliable under ambiguity: you can make progress when requirements are incomplete., • Security-conscious: you understand the importance of permissions, auditability, and data boundaries., • Clear communicator: you can explain technical decisions to engineers, scientists, and founders., • Curious about science: you do not need to be a bioanalysis expert, but you should want to learn the domain.