Principal Engineer at Aspiron Search

Job description

Location United States Founding Principal Engineer at a pre-seed AI security startup building agent governance and policy enforcement. Harden the core engine, build SDK integrations, and shape engineering culture. Staff / Principal Software Engineer – US Remote We are hiring for a pre-seed AI security startup building a governance and policy enforcement layer that sits between AI agents and their execution, giving enterprises the visibility and control they need to deploy agents safely at scale. This is a founding-team-level engineering hire. You'll own the critical path: hardening the core governance engine, expanding integrations across major agent frameworks, and helping shape the engineering culture as we scale with leadership opportunities that come with it. Working on: • Hardening a real-time policy evaluation engine for enterprise scale — sub-100ms latency, 10k+ agent executions/day, and graceful degradation under load • Building SDKs and integrations across major agent frameworks (LangGraph, Google ADK, Strands, and more) normalising agent execution events into a unified governance layer without requiring framework modifications • Designing observability and telemetry so policy failures are caught and diagnosed before they reach users • Consolidating integration infrastructure so new agent frameworks can be onboarded in weeks, not months • Contributing to hiring, engineering standards, and technical direction as the company scales post-fundraise What I'm looking for: ✔ 10+ years of hands-on engineering — still close to the code ✔ Strong Rust background (or C/C++/Go with the ability to ramp fast) ✔ Deep experience with distributed systems and backend services at scale ✔ Obsessive about observability, telemetry, and diagnosing systems in production ✔ Skilled in GCP ideally (AWS also considered) ✔ Security mindset — you build defensively and understand the cost of poor engineering hygiene ✔ Daily practitioner of AI coding tools inc agentic AI and discerning enough to keep quality high Background fit: The sweet spot is someone who has done both: ● Startup / scale-up / 0-1 experience — you know how to move fast, make pragmatic decisions, and build things that didn't exist before ● Enterprise or larger org experience — you've seen what good looks like at scale: rigorous testing, observability, reliable systems under real load Ideally you'll have a background in cybersecurity, runtime security, agent governance, or policy enforcement — but strong engineers from high-scale infrastructure or data platform backgrounds are equally relevant. Submit CV Back to Vacancies Directory Let’s talk about your next move If you’re exploring your next move in cybersecurity or want a trusted partner to support your career over time, we’d love to connect. Contact Us

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United States
Founding Principal Engineer at a pre-seed AI security startup building agent governance and policy enforcement. Harden the core engine, build SDK integrations, and shape engineering culture.
Staff / Principal Software Engineer – US Remote
Hardening a real-time policy evaluation engine for enterprise scale — sub-100ms latency, 10k+ agent executions/day, and graceful degradation under load
Building SDKs and integrations across major agent frameworks (LangGraph, Google ADK, Strands, and more) normalising agent execution events into a unified governance layer without requiring framework modifications
Designing observability and telemetry so policy failures are caught and diagnosed before they reach users
Consolidating integration infrastructure so new agent frameworks can be onboarded in weeks, not months
Contributing to hiring, engineering standards, and technical direction as the company scales post-fundraise
10+ years of hands-on engineering — still close to the code
Strong Rust background (or C/C++/Go with the ability to ramp fast)
Deep experience with distributed systems and backend services at scale
Obsessive about observability, telemetry, and diagnosing systems in production
Skilled in GCP ideally (AWS also considered)
Security mindset — you build defensively and understand the cost of poor engineering hygiene
Daily practitioner of AI coding tools inc agentic AI and discerning enough to keep quality high
The sweet spot is someone who has done both:
Startup / scale-up / 0-1 experience — you know how to move fast, make pragmatic decisions, and build things that didn't exist before
Enterprise or larger org experience — you've seen what good looks like at scale: rigorous testing, observability, reliable systems under real load
Ideally you'll have a background in cybersecurity, runtime security, agent governance, or policy enforcement — but strong engineers from high-scale infrastructure or data platform backgrounds are equally relevant.
Back to Vacancies Directory
Let’s talk about your
If you’re exploring your next move in cybersecurity or want a trusted partner to support your career over time, we’d love to connect.

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