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Infrastructure Engineer, Agent Systems

Job in Honolulu, Honolulu County, Hawaii, 96814, USA
Listing for: Hawksbill
Full Time position
Listed on 2026-06-18
Job specializations:
  • Security
    Cybersecurity
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Hawksbill is committed to leveraging Artificial Intelligence to create a more cybersecure and ethically responsible future. Our mission is rooted in putting people first as we address global cybersecurity challenges. With a focus on innovation, we strive to develop reliable and forward-thinking solutions that prioritize ethical practices and user protection. Join us in shaping the future of technology with purpose and integrity.

What

you’ll do
  • Design and operate sandboxed execution environments that host adversarial code safely and at scale
  • Build the orchestration layer for parallel agent rollouts, scheduling, isolation, resource management, retries, checkpointing
  • Own the tool/MCP integration surface so new capabilities ship without breaking the loop
  • Build eval and replay infrastructure so every run becomes training signal and debugging artifact
  • Stand up RL infrastructure (rollout collection, reward computation, async actor‑learner setups) when the model work calls for it
Qualifications
  • 4+ years of infrastructure or platform engineering, with experience on systems that run untrusted code, orchestrate distributed workloads, or operate at meaningful scale
  • Experience at a company running serious agent or distributed‑systems infrastructure (AI labs, robotics/autonomy, quantitative trading, large‑scale CI or sandbox platforms)
  • Deep comfort with sandboxing primitives, containers, lightweight VMs and the failure modes of each
  • Experience building systems that orchestrate untrusted or semi‑trusted code execution
  • Strong instincts for observability and debugging in async, non‑deterministic systems
  • You ship. You don’t over‑engineer. You write the ugly version first and clean it up when the shape is clear.
Bonus
  • Built RL training infrastructure (rollout/training separation, async pipelines, reward modeling)
  • Security background: red team experience, CTF history, published CVEs, or prior work on offensive tooling
  • Hands‑on with MCP, tool‑use frameworks, or custom agent harnesses
  • Strong understanding of Network Security to safeguard systems and prevent potential vulnerabilities.
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