Job Description
Job DescriptionAbout the Role
Join a small cybersecurity engineering team building an AI-powered platform that detects account compromise in real time. You will own critical backend and distributed systems infrastructure as the platform scales.
What You'll Do
- Design and build systems for real-time signal ingestion, behavioral analysis, and AI-powered decision-making.
- Architect backend infrastructure to support significant growth in scale.
- Ship machine learning and AI-integrated systems into production.
- Establish engineering patterns and contribute to raising the team's technical standards.
- Partner with company leadership to evolve the core detection platform.
What We're Looking For
- Four to eight years of experience in backend or distributed systems engineering.
- Experience building high-stakes, data-intensive systems end to end, such as real-time ingestion pipelines, databases, or distributed processing systems.
- Hands-on experience with distributed systems architecture and database scaling, ideally in a startup environment with broad ownership.
- Ability to scope, design, and ship projects independently.
- Proficiency in performance-oriented languages such as TypeScript, Node.js, Python, Go, Rust, Java, or C++.
- Strong computer science fundamentals and experience in cybersecurity, high-growth startups, or quantitative and trading environments.
Compensation & Benefits
Base salary: $190,000 to $275,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, United States.