Platform Engineer (Biotech)

Location: Cambridge, UK, with flexible work schedules and purposeful in-person collaboration

Company

hirify.global is a global biopharmaceutical company developing therapies for serious and rare diseases.

What you will do

• Design and develop a flexible bioinformatics web ecosystem for wet-lab scientists and data scientists.
• Engineer, optimize, and validate scalable, configurable internal data and scientific pipelines.
• Develop, deploy, and maintain cloud-based applications and data workflows.
• Build and deploy containerized workloads on a managed Kubernetes platform.
• Manage CI/CD pipelines, builds, Docker images, and cloud deployment automation using GitHub and GCP.
• Support machine-learning model deployment, training, and inference while collaborating with scientific, IT, security, and cloud teams.

Requirements

• Degree or equivalent experience in computer science, engineering, bioinformatics, biology, machine learning, statistics, or a related field.
• Full-stack development experience with strong Python skills.
• Experience with life-sciences applications and workflows in drug development, cheminformatics, or bioinformatics.
• Strong JavaScript skills; Svelte is preferred.
• Experience with SQL databases, preferably PostgreSQL, and cloud environments, especially GCP.
• Experience with Docker, Git, CI/CD pipelines, and collaborative software development.

Nice to have

• Kubernetes cluster setup, deployment, and management experience.
• Machine-learning model deployment and GPU-based deep-learning optimization.
• Experience with Pydantic, SQLAlchemy, Nextflow, ArgoCD, Argo Workflows, Terraform, event queues, or external cloud-service integrations.
• UI/UX experience or experience developing tools for drug discovery.

Culture & Benefits

• Flexible work schedules with purposeful in-person collaboration.
• Competitive retirement benefits, global equity awards, and participation in the Employee Stock Purchase Plan.
• Career development through internal learning programs, external training, LinkedIn Learning, and role-specific education.
• AI-powered and on-demand learning tools with hybrid-friendly technology and IT support.
• Global recognition programs and Employee Resource Groups.