Senior Security Engineer

Responsibilities

• Own the detection lifecycle by translating threat models, incidents, and attacker behavior into telemetry requirements and detections-as-code.
• Validate detection coverage, measure signal quality, tune false positives, and continuously test defenses.
• Design end-to-end security telemetry pipelines across GCP, AWS, Kubernetes, and the LangSmith/LangGraph control plane.
• Instrument services and define reliable, useful security signals.
• Build investigation and threat-hunting tools and workflows for proactive hunting, evidence collection, incident scoping, and containment.
• Turn investigation findings into detections and lasting improvements.
• Build reliable internal AI agents and automation to triage alerts, enrich findings, gather evidence, scope incidents, and accelerate security work.
• Design human-in-the-loop controls and evaluations for safe, observable, trustworthy automation.
• Triage, scope, contain, and remediate security incidents; participate in an incident on-call rotation.
• Lead postmortems that produce durable engineering changes.
• Partner with Product Security to turn threat models and vulnerability findings into production monitoring.

Requirements

• 5+ years of security engineering experience, including meaningful detection engineering, security operations, or incident response experience.
• Strong software engineering skills in Python or Go; TypeScript is a plus.
• Experience with GCP or AWS logging, Kubernetes audit and runtime telemetry, workload identity, and actionable detections.
• Ability to model attacker behavior, conduct threat hunting, test detection coverage, and distinguish meaningful signals from noise.
• Hands-on incident response experience, including on-call participation, incident leadership, and postmortems.
• Experience building reliable automation or developer-facing systems, including APIs, workflows, instrumentation, quality evaluation, and production operations.
• Pragmatic product mindset with the ability to identify users and requirements, prioritize high-leverage problems, define success, and ship iteratively.

Nice-to-haves

• Experience building or operating AI agents for security workflows such as alert triage, investigation, evidence collection, or human-in-the-loop response.
• Proficiency using AI tooling to accelerate security investigations and engineering work.
• Understanding of AI threats, adversarial testing, and security boundaries of LLM and agent workloads.
• Exposure to SOC 2 or ISO 27001 monitoring and evidence automation.
• Experience with infrastructure as code such as Terraform or Helm.
• Experience securing SaaS and self-hosted or air-gapped deployments.

Compensation and Benefits

• Annual salary range: $180,000-$240,000 USD.
• Compensation includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
• Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and meals on in-office days in the US.