Design, build, and maintain software and automation that improves our detection and response program, including alert enrichment, triage workflows, and investigation tooling.

Implement and enhance internal AI agents and security bots that assist with monitoring, investigations, reporting, and other security operation tasks.

Develop and operate systems and workflows that support the bug bounty and vulnerability disclosure program, including intake, triage, prioritization, and remediation tracking.

Partner with product and engineering teams to threat model new features and systems, propose mitigations, and add guardrails into designs and implementations.

Contribute to secure-by-default libraries, services, and patterns that make it easy for teams to build secure features.

Integrate security signals from cloud, endpoints, SaaS, and applications into cohesive pipelines and data models that support detection and analysis.

Build automation to reduce manual work in incident response, containment, and remediation.

Collaborate with security engineers and other software engineers to review designs and code, and to continuously improve our security tooling and platforms.

4+ years of experience as a software engineer with significant time spent building security-related tools, platforms, or automations, or in a security engineering role with strong software development responsibilities.

Proficiency in at least one major programming language (such as Python, Go, or TypeScript) and experience building production services, CLIs, or internal tools.

Experience integrating with security-relevant systems such as logging pipelines, SIEMs, EDR, cloud APIs, or identity platforms.

Practical experience with threat modeling, secure design, or application security reviews for services or features.

Experience operating or contributing to bug bounty or vulnerability management programs is a plus.

Familiarity with cloud infrastructure (AWS preferred) and modern SaaS environments.

Ability to work closely with cross-functional teams, own projects end-to-end, and ship pragmatic, high-impact improvements.

Bonus: Experience designing or improving AI-powered agents or automation used for security operations.

Design, build, and maintain software and automation that improves our detection and response program, including alert enrichment, triage workflows, and investigation tooling.

Implement and enhance internal AI agents and security bots that assist with monitoring, investigations, reporting, and other security operation tasks.

Develop and operate systems and workflows that support the bug bounty and vulnerability disclosure program, including intake, triage, prioritization, and remediation tracking.

Partner with product and engineering teams to threat model new features and systems, propose mitigations, and add guardrails into designs and implementations.

Contribute to secure-by-default libraries, services, and patterns that make it easy for teams to build secure features.

Integrate security signals from cloud, endpoints, SaaS, and applications into cohesive pipelines and data models that support detection and analysis.

Build automation to reduce manual work in incident response, containment, and remediation.

Collaborate with security engineers and other software engineers to review designs and code, and to continuously improve our security tooling and platforms.

4+ years of experience as a software engineer with significant time spent building security-related tools, platforms, or automations, or in a security engineering role with strong software development responsibilities.

Proficiency in at least one major programming language (such as Python, Go, or TypeScript) and experience building production services, CLIs, or internal tools.

Experience integrating with security-relevant systems such as logging pipelines, SIEMs, EDR, cloud APIs, or identity platforms.

Practical experience with threat modeling, secure design, or application security reviews for services or features.

Experience operating or contributing to bug bounty or vulnerability management programs is a plus.

Familiarity with cloud infrastructure (AWS preferred) and modern SaaS environments.

Ability to work closely with cross-functional teams, own projects end-to-end, and ship pragmatic, high-impact improvements.

Bonus: Experience designing or improving AI-powered agents or automation used for security operations.