Platform Engineer (AWS, Terraform) - Up to £68k

Platform / Cloud Engineer (AWS, Terraform)

🧬 AI Biotech Company

📍 Remote-First in Cambridge, UK (Ideally 1 day per week, but flexible to 4 x a year)

💰 Up to £68,000 + Share Options + Benefits

This AI-driven biotech company is on a mission to help find treatments for rare diseases

Established over 10 years ago, they are a company of 60+ people and have received over $40M in funding to date

The Role:

• This is a multi-faceted platform role that goes beyond traditional infrastructure work.
• You’ll join a small but senior Engineering team, building and operating the infrastructure and data pipelines that support AI-driven drug discovery
• Expect roughly a 60/40 split between cloud infrastructure and data / pipeline engineering, with exposure to emerging technologies including agentic AI workflows

Over the first few months you’ll be:

• Deploying and managing cloud infrastructure for drug discovery pipelines
• Supporting AI and data science teams to deploy new algorithms
• Building and maintaining data pipelines and workflow orchestration
• Helping design infrastructure for agentic AI workflows
• Contributing to the company’s security and platform maturity as it scales
• Gradually taking ownership of AWS infrastructure

Tech Stack 🛠️

The environment includes:

• AWS (primary cloud platform)
• Terraform (Infrastructure as Code)
• Python
• Airflow / Nextflow
• CircleCI
• Data pipelines and ML workflows
• Emerging Agentic AI systems

You’ll report directly to the Head of Engineering, working alongside a small but highly experienced engineering group and close collaboration with Bioinformatics and Data Science teams

This is a high-ownership team, where engineers design, build and operate the systems that power the platform.

Ideal candidates will have:

• 3+ years of commercial engineering experience, ideally in a smaller company
• Experience working with cloud infrastructure (AWS ideally)
• Strong understanding of Terraform / Infrastructure as Code
• Some Python or software engineering experience
• Exposure to data pipelines or workflow orchestration
• Curiosity around AI systems and modern ML infrastructure

This role would suit someone who enjoys working across infrastructure, software and data workflows.

Location 📍

• Ideally 1 day per week in Cambridge office
• Can be flexible for the right candidate to 4 times per year