180K–225K USD / year
AI-Native Detection and Triage Engineer
OtherRemote — worldwide
Published on 2026-11-05
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About this role
Own Fly.io’s security detection and triage pipeline across fleet telemetry and code-scanning signals. Build agentic tools to prioritize and investigate findings, and drive issues through root-cause analysis, remediation, and verification.
About the company
Fly.io is a public cloud that runs customer containers as hardware-isolated microVMs on bare-metal hosts around the world.
The team
Security
Stack
eBPFSIEMLinuxGoRustElixirQEMUKVM
What you'll do
- Own eBPF sensor coverage, lifecycle, and telemetry pipeline across hosts.
- Build and maintain code-review agents, dependency, image, and SBOM scanning, and CI security checks.
- Develop a local platform replica and harnesses for fuzzing and full-stack security testing.
- Unify alerts, scan findings, vulnerabilities, and disclosures in a prioritized triage workflow.
- Build agents to triage, deduplicate, correlate, and enrich findings safely.
- Drive findings across teams through root cause, remediation, and confirmation.
- Run regular hunts and lead detection-side incident response and forensics.
What we're looking for
- Production experience building detection or security-scanning pipelines.
- Ability to interpret Linux authentication, audit, and kernel logs and review Go, Rust, or Elixir code.
- Production experience with eBPF telemetry or equivalent.
- Experience integrating security tooling into CI and working with fuzzers or test harnesses.
- Experience building agent or LLM tooling for operational data, with prompt-injection safeguards.
- Incident response experience, including leading or contributing deeply to investigations.
- Ability to drive remediation across teams without direct authority and communicate clearly in writing.
Nice to have
- Experience with Tracee, Falco, or Tetragon.
- Experience with AFL, libFuzzer, or syzkaller.
Hiring process
- Short written application
- Async work sample (2–3 hours)
- HR screen (15–20 minutes)
- Live Slack incident exercise (2 hours)
- CEO conversation (30 minutes)
