Job Description
Architect and maintain AI-enhanced CI/CD pipelines with advanced SAST/DAST
Secure end-to-end AI workflows, including data ingestion and model protection
Build AI-driven automation for security triage and remediation
Implement and enforce enterprise security policies using Policy as Code
Lead threat modeling and red team exercises for cloud-native and AI systems
Develop secure “Golden Paths” and self-service tooling for engineering teams
Partner with DevOps, Security, and Leadership to balance speed and security
Continuously innovate in AI-for-Security and Security-for-AI initiatives
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
10+ years in IT with 5+ years in DevSecOps leadership roles
Expert-level Kubernetes and Infrastructure as Code (Terraform or Pulumi)
Strong experience with at least one major cloud provider (AWS, Azure, or GCP)
Deep hands-on integration of SAST, DAST, SCA, and Secret Scanning into CI/CD (GitHub Actions, GitLab CI, or Jenkins)
Proven experience securing MLOps pipelines and AI-integrated APIs
Strong programming skills in Python, Go, and/or Bash
Advanced threat modeling experience, including AI-specific threats (model inversion, data poisoning)
Experience implementing Policy as Code (OPA) across multi-cloud environments
Nice to Have Skills & Experience
AI-driven SOAR and automated remediation experience
Experience with LLM guardrails and AI-native application security
Deep observability experience with eBPF, Prometheus, Datadog, or Dynatrace
Proven executive-level communication and stakeholder influence
Degree in a relevant technical field (or equivalent experience)
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.