Latent Defense
Software Engineer
New York City · Hybrid · Full-time · Posted Apr 13, 2026
About the job
Build and scale an autonomous cybersecurity threat-modeling system that models attack paths, validates them with agents, and remediates confirmed vulnerabilities.
What you'll do
- Build MCP server integrations and agent workflows for threat modeling and orchestration.
- Develop integrations and autonomous remediation triggered by repository, cloud deployment, and ticketing events.
- Package and deploy models, optimize inference pipelines, build observability and telemetry, and harden the product.
What they ask for
- Systems-thinking approach to data flow, failure modes, and architecture.
- Ability to learn by building prototypes with new SDKs, protocols, or deployment targets.
- Comfort working across model inference, container networking, and API design.
- Adversarial security mindset and focus on observability, testing, scaling, and trust.
Tools
TypeScript, Python, PostgreSQL, Docker, Kubernetes, MCP, SSE, STDIO
AI focus
Build an autonomous threat-modeling system using agents to model attack paths, validate them, and remediate vulnerabilities; tune inference pipelines that generate structured training data.
Model-written summary · the original posting is authoritative