• Build and run detection: write, tune, and respond to Python-based rules to catch anomalous activity and improve signal-to-noise.
• Partner with our Infrastructure team to secure GCP + cloud networking and improve Kubernetes security.
• Strengthen application security and help make pragmatic upgrades (e.g., Next.js, dependencies).
• Improve security through code + automation (guardrails, checks, remediation workflows).
• Own vulnerability management end-to-end: identify, prioritize, and drive fixes to closure in coordination with codeowners.
• Help build a strong security culture through clear guidance, training, and partnership with engineers.
• Develop technical and policy frameworks to guide ambitious and safe AI adoption company-wide.
• Collaborate closely with engineering on secure product design and technical implementation.
Requirements
- 5–8 years of experience, with meaningful time focusing on security.
- Strong understanding of cloud security + networking (GCP preferred).
- Comfortable reading code and shipping fixes; Python scripting strongly preferred.
- Experience operating security tooling (endpoint/EDR, MDM, audit logging/alerting, CSPM).
- Familiarity with GitHub, Terraform, and CI/CD security fundamentals.
- Desire to enable innovation and development.
ATS Optimization Keywords
Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. This unique feature helps candidates tailor their applications more effectively — a feature exclusive to JobTailor job listings.
Hard Skills
- Python
- Kubernetes
- Next.js
- vulnerability management
- cloud security
- networking
- security tooling
- GitHub
- Terraform
- CI/CD
Soft Skills
- collaboration
- guidance
- training
- partnership
- innovation