Staff Security Engineer, Detection & Response
at Mavenclinic
New York, NY; Remote, US (Hub cities), hybrid, staff, full time, USD 2,21,000–2,99,000 / year, 6+ years
posted 25 Sept 2026
- Threat modeling
- Container security
- LLM security
- Detection Engineering
- Incident Detection and Response
- SDLC
- Image security
- OSCP
- GCFA
- SIEM
- GCDA
- CISSP
- AI security
- GCIH
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, you pull the logs, build the narrative of what happened, and advise business and engineering leaders on next steps.
- Read production code when needed to understand what's actually happening.
Proactive Hunting & SDLC Hardening
- When you're not investigating, 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 the resolution with the right teams, whether that's a specific code fix, a broader process or control change.
- Partner with our Product Security Engineer on golden paths when a weakness points to a systemic gap.
Detection Engineering
- Own and tune the detection logic running through 7AI, validating its investigations and escalations and setting the criteria for what triggers an alert.
- Close gaps in logging and visibility so the tooling has the right data to work with.
Managing AI Risk
- Help us understand and manage the security risks that come with our growing use of LLMs and AI tooling, both in what we build and what we adopt internally.
What they are looking for
Required
- 6+ years of security experience combining hands-on software or AppSec depth with detection and SIEM engineering ownership.
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