At a Glance
- Tasks: Build product features using React, Next.js, and Python while managing Kubernetes workloads on GCP.
- Company: ScienceMachine is a London-based tech company focused on agentic AI for bioanalysis workflows.
- Benefits: High ownership across the entire stack with direct impact on scientific research.
- Other info: The role is based in London, UK.
- Why this job: Join a fast-moving technical team influencing engineering practices and product vision.
- Qualifications: Extensive experience in React, TypeScript, and Python with cloud infrastructure management skills.
The predicted salary is between 60000 - 80000 £ per year.
ScienceMachine is a London-based technology company building agentic AI software to automate complex bioanalysis workflows for scientists. Their platform transforms analytical processes into reliable, repeatable, AI-assisted workflows across data ingestion, reporting, and compliance, enabling labs to scale their research through sophisticated software engineering and modern infrastructure.
As a Senior Full Stack Engineer at ScienceMachine, you will take ownership of both product and infrastructure, building the platform powering agentic AI for bioanalysis. You will move seamlessly between React interfaces and Kubernetes workloads on GCP, hardening the system as it scales from pilots into production environments for global scientific teams.
Why this role is remarkable:
- High ownership across the entire stack, from user-facing React features and Next.js interfaces to Terraform-managed infrastructure and Kubernetes orchestration.
- Direct impact on scientific research by building agentic AI systems that automate complex workflows in drug discovery and laboratory analysis.
- Join a fast-moving, technical team where you will influence engineering practices and shape the product vision from the ground up.
What You Will Do:
- Build product features across React, Next.js, and TypeScript while designing and maintaining backend Python services and REST APIs.
- Manage and scale production infrastructure using Terraform, Docker, and Kubernetes on GCP to support high-reliability workloads.
- Collaborate with scientists and customers to translate real-world bioanalysis workflows into robust, automated product capabilities and agentic systems.
The ideal candidate:
- Extensive full-stack experience with modern React/TypeScript and Python backend development, including sophisticated PostgreSQL schema design and data modeling.
- Proven track record managing cloud infrastructure with Terraform and running production containerized workloads on Google Cloud Platform.
- Pragmatic, product-minded engineer who excels in ambiguous environments and prioritises building secure, reliable systems that solve real user problems.
Senior Full Stack Engineer at ScienceMachine employer: Jack & Jill
ScienceMachine, located in London, develops AI software to automate bioanalysis workflows. Employees enjoy high ownership of projects and the opportunity to directly impact scientific research through innovative technology.
