Work at the cutting edge of AI agent security and help define what makes an agent an agent
Build the tools to distinguish an AI agent from a standard workload and secure it so it cannot go
Work on the hardest parts of the stack: traffic interception, policy enforcement, and observability
Take ideas from prototype to production quickly

🎯 Requirements

5+ years as a software engineer with a track record of shipping and supporting production code
Strong proficiency in one or more of Go, C/C++, Rust, or Python
Solid working knowledge of Kubernetes and containers, including how workloads are deployed
Understanding of Linux systems and networking outside Kubernetes (hosts, VMs, cloud infrastructure)
Thrives on fast iteration and MVP work, and likes taking on hard, open-ended technical problems
Comfortable owning features end to end in a fast-moving, early-stage product environment

🎁 Benefits

Competitive compensation package
Full health, vision, and dental benefits

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