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# Staff Software Engineer

- **Company:** LATENT DEFENSE INC.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Software as a Service, Cyber Security, Python (Programming Language), PostgreSQL, Software Engineering, TypeScript, Multi-Agent Systems, AI Coding Agents, Backend, Kubernetes, Docker
- **Published:** November 8, 2026
- **Apply:** https://www.juju.com/job/28_25197_6224d2b3f9e7d222ec3645f010bd55ff

## About the Role

* 7+ years of hands-on software engineering experience, with real infrastructure/backend depth
 * Fluency with TypeScript, Python, and Postgres
 * Experience deploying and supporting software directly in customer-owned infrastructure, not just centrally-hosted SaaS
 * A track record of redesigning or hardening systems as they scale, not just building new features
 * Comfortable operating with minimal direction in a small, fast-moving team
 * Agent-native - uses AI coding tools fluently, but has the underlying engineering instinct to know when to trust them and when not to
 * Experience at a seed-stage startup; founder experience is a strong plus, * Prior experience at a cybersecurity or security-adjacent company
 * Experience building telemetry, observability, or hardening systems specifically
 * Experience with agent orchestration frameworks or MCP-style protocols
 * Experience deploying in 'bring your own cloud' and on-premises customer environments

## Description

Latent Defense is hiring a Staff Software Engineer to help take its infrastructure from a scrappy MVP to a hardened, GA-ready product. This person will own customer deploys (Kubernetes, Docker), the telemetry platform, and the hardening and scaling work that comes with moving real customers into production. They'll operate with significant autonomy on a team that's still building out its staff-level bench, and will be trusted to redesign systems rather than just add to them., * Own deployment of Latent Defense's product into customer infrastructure, including Kubernetes and Docker-based environments

 * Build and harden the telemetry platform that lets the team measure and improve system-wide reliability and efficacy
 * Redesign infrastructure and backend systems as the company moves from an early MVP to a scaled, GA product
 * Operate with significant autonomy - take on ambiguous infrastructure problems and drive them to resolution without heavy direction
 * Use AI coding agents as a core part of your workflow, while keeping the underlying engineering judgment that agents can't replace
 * Partner with the rest of the engineering team (currently more junior) to raise the technical bar and unblock hard problems
 * Work closely with the Director of Engineering on architecture, technical direction, and delivery rigor as the team scales