- Demonstrated experience in security engineering, infrastructure security, or application security within large-scale distributed systems or cloud environments (GCP, AWS, or Azure).
- Strong systems and software engineering background: Linux, networking, infrastructure-as-code, and proficiency in programming languages like Python, Go, or Rust.
- Deep understanding of the unique security challenges associated with machine learning platforms, distributed training, and protecting high-value model weights/IP.
- Comfort working directly with complex systems, conducting architectural security reviews, and adapting fast to new constraints or customer environments.
- A bias toward real-world impact over elegance: solutions that actually work for the user, under pressure.
- Owns deliverables end-to-end, from requirements through autonomous execution.
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