What You’ll Do
Design and implement scalable, developer-friendly security solutions that seamlessly integrate into CI/CD pipelines and IDE workflows.
Collaborate with the security and broader engineering teams to build AI- and MCP-powered tooling that enhances developer productivity and security awareness.
Lead secure coding workshops, hands-on labs, and threat modeling sessions across engineering teams.
Create internal toolkits, guidance, and learning experiences that help developers make secure decisions quickly and confidently.
Partner cross-functionally with Engineering, Product, and Security to identify friction points and deliver practical, high-impact improvements to secure development workflows.
Must Have:
Strong Experience in Application or Product Security, with a focus on secure software development and engineering enablement.
Deep understanding of SDLC security practices - including threat modeling, code review, and CI/CD pipeline security.
Hands-on experience building, integrating, or maintaining security tools that improve developer productivity.
Experience with modern cloud environments (AWS, GCP) and security controls for microservices and APIs.
Proven ability to translate complex security principles into simple, developer-friendly workflows.
Excellent collaboration skills, with the ability to partner effectively across Security, Engineering, and Product teams.
Demonstrated success in balancing engineering velocity with scalable security best practices.
Some coding experience and a strong build-vs-buy mindset, with the ability to make pragmatic tooling decisions.
Nice to Have:
Hands-on experience creating agentic AI systems that collaborate or work together as a team.
Background in tool building and automation, especially for developer enablement or security use cases.
FaceApp
Bumble
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