Forward Deployed Engineer (Security)

We are looking for forward-deployed security engineers who want to build the future of security operations with agents.

Tracecat helps AI-native security teams move at machine speed with agents they own and control. Our users automate security operations across detection and response, cloud, infrastructure, identity, vulnerability management, compliance, and internal workflows.

You’ll work directly with the founders and our customers, architect agents that automate real security work, and turn what you learn in the field into product capabilities that run in mission-critical environments. This is a high ownership role at an AI-native open core company winning deals against competitors 100x their size.

What you’ll do

You won’t just field customer requests. You’ll shape how security teams use agents to run security work.

• Work directly with security teams to design and deploy agentic systems across their security stack

• Build agents that investigate alerts, gather evidence, reason over context, recommend decisions, and trigger approved actions

• Build Python integrations, agent skills, MCP tools, and data pipelines that give agents the context and tools they need

• Design agents for detection and response, cloud findings, identity investigations, vulnerability response, case management, and recurring security operations

• Evaluate agents for accuracy, approvals, auditability, failure modes, and analyst experience

• Work with the founders and product team to turn repeated customer patterns into reusable agents and product capabilities

What you bring

• Security judgment: you understand how teams investigate, prioritize, and respond to risk across cloud, infrastructure, identity, and production environments

• Hands-on experience in security engineering, cloud security, infrastructure security, detection and response, incident response, product security, application security, or a related role

• Strong full-stack development skills and experience building APIs, integrations, data pipelines, internal tools, or production automation

• Product intuition: you can turn one-off customer problems into reusable product primitives

• Customer empathy: you can work with analysts, responders, security engineers, security leaders, and founders without losing the technical thread

• Comfort working in a small team where speed, ownership, and ambiguity are the norm

• Technical craftsmanship: we’re an anti-slop AI-pilled company, and security automation should be auditable, testable, and boring when it matters