You'll be the first security engineer at a company processing millions of sensitive data points across AI training pipelines, expert payments, and enterprise integrations. This is not a monitoring role. You'll build the systems that keep Mercor secure - writing detection logic, automating response workflows, hardening infrastructure, and shipping security tooling that scales with a company growing faster than most teams can keep up with.
We use AI heavily in our own security work. You should be comfortable building alongside AI code-gen tools, using LLMs to accelerate threat analysis, and automating away the repetitive work that slows security teams down. If you're the kind of engineer who writes a script instead of filing a ticket, you'll fit in here.
We're in-person five days a week at our SF headquarters, with first Fridays remote.
Detection and response pipelines that catch real threats, not checkbox alerts
Security automation that replaces manual processes - if you're doing something twice, automate it
Infrastructure hardening across AWS, Kubernetes, and our production environment
Identity and access controls for a platform serving 300K+ experts and enterprise clients
Application security tooling integrated into CI/CD - shifting security left without slowing down deploys
Incident response runbooks and tooling - when something breaks, you'll own the fix end-to-end
You've built security tooling or automation in a previous role - not just operated existing tools
Strong in Python, Go, or TypeScript - you ship code, not slide decks
Experience hardening cloud infrastructure (AWS preferred) - VPCs, IAM, container security
You understand application security at the code level - can review a PR for auth bugs, not just run a scanner
Comfortable with detection engineering - writing rules, tuning alerts, reducing noise
You've done incident response and know what it means to be on-call when things break
5+ years of professional experience in security engineering, software engineering, or a related builder role
Experience at a high-growth startup or fast-moving engineering org
Familiarity with AI/ML security - model access controls, training data protection, prompt injection
Offensive security skills - pen testing, bug bounty, red team experience
Contributions to open source security tools
You've built something from scratch that a team still uses
Build, don't babysit. We automate the boring stuff. You'll spend your time building systems, not reviewing access requests.
AI-native security. You'll use frontier AI tools daily - for code review, threat analysis, detection writing, and anything that benefits from an AI co-pilot.
Ownership from day one. Small team, massive surface area. You'll own entire security domains, not a single dashboard.
See the future early. Working alongside AI labs means you'll understand frontier model capabilities months before the market.
mercor