DevOps Engineering Lead - ML Infrastructure

Symbolica is an AI research lab pioneering the application of category theory to enable logical reasoning in machines. We're a well-resourced, nimble team of experts on a mission to bridge the gap between theoretical mathematics and cutting-edge technologies, creating symbolic reasoning models that think like humans – precise, logical, and interpretable.

Requirements

• 5+ years of experience in DevOps, or infrastructure roles, with at least 2 years in machine learning infrastructure or MLOps
• Proficient in cloud-native architectures, with the ability to make the right tradeoffs where necessary
• Experienced with Linux, containers, GPU management, Nix, Kubernetes and an interest in making sure the infrastructure behind our models is secure by design
• Solid software engineering skills in Rust, Golang or Python

Benefits

• Competitive salary
• Early-stage equity package
• High-trust, execution-first culture with minimal bureaucracy
• Direct ownership of meaningful projects with real business impact