Staff Security Engineer, Detection & Response

About the Role

You'll own our Incident Detection and Response program, including threat modeling our systems and codebase and directing the investigation when something does happen. You'll join a team that includes an AppSec-focused engineer and an infrastructure-focused engineer, and you'll guide technical direction and judgment calls. You'll spend most of your time finding bugs in our code and gaps in our SDLC before they become incidents, then building and implementing or project managing the fixes yourself. AI is a growing part of that surface, and as our reliance on LLMs, AI-generated code, and agents expands, you'll be responsible for understanding and managing the risk that comes with it.

What You'll Own

Investigation & Technical Direction

• Lead investigations hands-on. When an incident or suspicious finding comes up, pull logs, build the narrative, and advise business and engineering leaders on next steps.
• Read production code when needed to understand what's actually happening.

Proactive Hunting & SDLC Hardening

• Hunt for bugs in our codebase and weaknesses in our SDLC where problems can slip past existing controls.
• Propose and implement fixes yourself, or manage resolution with the right teams.
• Partner with our Product Security Engineer on golden paths when a weakness points to a systemic gap.

Detection Engineering

• Own and tune detection logic, validating investigations and escalations, and setting alert triggers.
• Close gaps in logging and visibility so tooling has the right data.

Managing AI Risk

• Help understand and manage security risks associated with our growing use of LLMs and AI tooling.

What We're Looking For

Required

• 6+ years of security experience combining hands-on software or AppSec depth with detection and SIEM engineering ownership.
• Comfortable reading production code across multiple languages and stacks to judge exploitability.
• Experience building threat models of codebases, reasoning about attack surface, trust boundaries, and data flow.
• Track record of finding and fixing systemic weaknesses.
• Strong communication skills to direct investigations and influence peers informally.

Strongly Preferred

• Hands-on experience with AI-assisted security operations tooling (e.g., AI SOC platforms, LLM-based triage, agentic escalation systems).
• Interest or experience in securing AI and LLM-powered systems (e.g., prompt injection, model misuse, agentic tool abuse).
• Prior exposure to golden-path or secure-by-default infrastructure initiatives.
• Experience with container or image security and the patching lifecycle.
• Relevant certification such as GCIH, GCFA, GCDA, OSCP, or CISSP.