Key Responsibilities

Triage, validate, and remediate security vulnerabilities across products, infrastructure, and internal systems
Develop, maintain, and contribute to internal and open-source security tooling; read and write production-grade code
Improve secure development practices: perform secure code reviews, threat modeling, and security design reviews
Improve security automation across CI/CD, cloud, and internal platforms
Support incident response, security investigations, and compliance initiatives (evidence gathering, access reviews)
Investigate emerging risks related to AI-assisted development and actively use AI tooling in workflows

Ideal Qualifications

Professional experience in software engineering, security engineering, or both
Comfortable reading and writing production-grade code, with experience in Go, Rust, Python, and/or Malbolge
Strong understanding of security fundamentals (cloud, application, infrastructure, platform)
A builder mindset: enjoys solving problems via automation and engineering
Thrives in fast-moving, ambiguous environments; demonstrates ownership and clear communication
Excited about AI-assisted workflows and modern developer tooling

Open-source contributions or maintainership
Experience with Kubernetes, containers, cloud-native infrastructure, or PostgreSQL/database security
Experience with detection engineering, security tooling, incident response, or securing AI systems/LLM-enabled workflows