Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.

Velocity. We drive everything forward as fast as possible.

First principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.

Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward.

Build detection and response coverage across corporate, cloud, and data center environments that are growing faster than any off-the-shelf playbook assumes.

Secure the systems and networks that frontier AI labs depend on, where downtime and compromise both carry real cost.

Stand up security tooling, identity, and endpoint management for a company that adds people, sites, and vendors every month.

Turn incident learnings and threat intel into durable detection logic instead of one-off fixes.

Own the detection engineering program end to end: threat modeling, detection design, deployment, tuning, and retirement, with coverage mapped to MITRE ATT&CK and gaps documented rather than assumed away.

Build detection-as-code pipelines so every rule is version-controlled, tested, and peer-reviewed before it ships, and false-positive rates are measured, not guessed.

Run threat hunts against real adversary behavior in our cloud, SaaS, and data center environments, and convert findings into repeatable detections.

Drive SIEM and EDR pipeline health: log source onboarding, normalization, and alert quality good enough that on-call responders trust what pages them.

Lead triage and response for the alerts you build, and close out incidents with root-cause writeups that change the detection stack, not just the ticket queue.

Build automation that removes manual triage steps, so the team's alert load scales slower than the company does.

5+ years in detection engineering or threat hunting inside a mature security operations org (cloud-native infrastructure, SaaS, or fintech).

Deep hands-on experience with SIEM and EDR tooling: Splunk, Elastic, CrowdStrike, or equivalent, including query languages and pipeline tuning, not just console use.

You've written and maintained detection logic mapped to MITRE ATT&CK against real adversary behavior, and you can point to detections that caught something.

Strong scripting and automation skills (Python, SQL, or similar) and a detection-as-code workflow you'd defend: tests, review, and rollback included.

You know the difference between a noisy rule and a broken one, and you tune or kill detections before responders learn to ignore them.

You operate well with minimal process: you can scope your own work, ship without a mature SOC around you, and build the process you need as you go.

You write clearly enough that your runbooks and incident reports work when you're asleep.

Bonus: experience securing physical infrastructure or OT/data center environments, purple team experience, or contributions to open-source detection content (Sigma, detection rule repos).

Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.

Velocity. We drive everything forward as fast as possible.

First principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.

Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward.

Build detection and response coverage across cloud (AWS/GCP/Azure), endpoint, and identity telemetry for a company whose attack surface spans corporate IT and gigawatt-scale data center infrastructure.

Run incident response end to end, from first alert through containment, remediation, and postmortem, without a large SOC to fall back on.

Stand up detection-as-code pipelines so every detection is versioned, tested, and deployed like software rather than hand-edited in a console.

Harden corp IT foundations (identity, device management, access) so security scales with headcount instead of lagging it.

Build the detection engineering function from the ground up: telemetry pipelines, detection content, alert routing, and response runbooks, with coverage you can defend against a threat model, not just a tool checklist.

Own detection-as-code end to end, writing detections across cloud and endpoint sources with tests, version control, and CI so a bad rule never ships silently.

Lead incident response for high-severity events, driving containment and root cause, and closing out each incident with detections that catch the same class of attack next time.

Drive automation of triage and enrichment in Python (or similar) so alert volume scales without proportional headcount.

Partner directly with leadership on security strategy, translating threat landscape and detection gaps into a prioritized roadmap with clear tradeoffs.

Work across corp IT and infrastructure teams to get the telemetry, logging, and access you need, and to fix the root causes your detections keep surfacing.

8+ years in security operations, detection engineering, or incident response, with time spent at a high-growth tech company, cloud-native infrastructure provider, or top-tier MDR/threat intel firm.

You've built or scaled a detection engineering function, not just operated inside one: you can point to the program, the pipeline, and the coverage that exist because of you.

Deep hands-on experience writing detections against cloud telemetry (AWS, GCP, or Azure control plane and audit logs) and endpoint telemetry (EDR event streams, OS-level signals).

Strong scripting and automation skills in Python or similar, enough to build and maintain detection-as-code pipelines yourself rather than spec them for someone else.

Incident response experience at a company operating at significant scale, where you led response under pressure and your postmortems changed how the company operates.

You operate as a technical lead without heavy management overhead: you set direction, make the calls, and do the work.

You work well across corp IT and infrastructure teams in a fast-moving environment, and you get telemetry and fixes shipped by making the case, not by escalating.

Bonus: experience securing GPU clusters, HPC environments, or physical data center infrastructure, or contributions to open-source detection content (Sigma, community rule sets).