Systems Engineer

About the role

Refractal is seeking a Systems Engineer to own the services and infrastructure that keep their AI security platform secure and reliable in production. You will work across enforcement runtimes, data integrity, tenant isolation, and cloud infrastructure to build systems that detect AI-enabled threats. This role involves building low-latency pipelines and ensuring robust observability and security across all agent and model services.

Responsibilities

• Build and operate a low-latency runtime enforcement pipeline with predictable failure behaviour.
• Own observability and tracing across agent actions, tool calls, model calls, and enforcement decisions.
• Build tamper-evident evidence storage and enforce multi-tenant isolation throughout every data path.
• Create reliable event and streaming services with safe handling for load, retries, backpressure, and disconnections.
• Build infrastructure for red-team jobs, evaluation workloads, and model-serving services.
• Own cloud infrastructure, continuous delivery, secrets, artefact verification, and production trust boundaries.

Required skills

• Backend systems
• Distributed systems
• Infrastructure systems
• Observability
• Distributed tracing
• Postgres
• Row-Level Security
• Containers
• Continuous delivery
• Operational security

Nice to have

• Python
• OpenTelemetry

Benefits

• Competitive salary
• Equity
• Performance-linked bonus
• Visa sponsorship

About the Company

Refractal is an AI security company building the infrastructure organisations need to defend against autonomous AI threats. Founded on cybersecurity and AI expertise from MIT, Microsoft, NASA and the U.S. Navy, the company combines proven cybersecurity methods with frontier AI security research.