Refractal
United Kingdom
New
Systems Engineer
- AI
- Cloud
- Continuous Delivery
- Cybersecurity
AI Summary
Own and harden Refractal's production and customer-hosted infrastructure, including delivery pipelines and security controls. Build CI/CD with signed artefacts, package Refractal for customer environments, and automate compliance evidence. Requires 6+ years in DevOps/SRE, deep Terraform and Kubernetes experience, strong GCP or AWS skills, and Python or Go.
Key Highlights
Own production and customer-hosted infrastructure as code
Build CI/CD with signed artefacts and supply-chain verification
Package for customer-hosted, private-cloud and on-premises deployments
Own secrets management, key rotation, isolation and observability
Automate security controls and compliance audit evidence
Key Responsibilities
Run and harden Google Cloud production estate as infrastructure as code
Build CI/CD with signed artefacts, supply-chain verification and fast, safe releases
Package Refractal for customer-hosted and private-cloud deployments, including on-premises installations
Own secrets management, key rotation, environment isolation and on-call observability
Automate security controls and audit evidence behind compliance programme
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Technical Skills Required
Benefits & Perks
Competitive equity
Pension contribution
Private medical and dental cover
Visa and relocation support
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Nice to Have
Experience deploying into on-premises or highly restricted customer environments
Montenegrin, Serbian, Bosnian or Croatian
Job Description
About Refractal
Refractal is an AI security company building the infrastructure organisations need to defend against autonomous AI threats. 2026 has shown that generally capable intelligence is here. The challenge now is modernising security to stop AI-enabled threats, whether they come from internal agents going rogue or from attackers using AI to become more dangerous.
Refractal was founded on cybersecurity and AI expertise from MIT, Microsoft, NASA and the U.S. Navy. Our product lets organisations detect AI-enabled threats at low cost without sacrificing detection quality. We take a practical approach to AI risk, combining proven cybersecurity methods with frontier AI security research.
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