About this role

Lead the evolution of our software delivery lifecycle by embedding security into every stage of the CI/CD pipeline
Leverage Artificial Intelligence to automate threat detection, optimize code reviews, and secure AI-native applications
Build a robust, self-healing DevSecOps ecosystem that balances rapid deployment with uncompromising security standards
Achieve 90% automated security coverage across all production-bound code
Utilize AI to reduce vulnerability remediation time by 40% within the first year
Stay at the forefront of the "AI for Security" and "Security for AI" movements

Bachelor's Degree in Computer Science or related technical discipline, preferred but not required
10+ years in IT, with at least 5 years dedicated to DevSecOps leadership in high-scale environments
Expert-level experience with Kubernetes, Terraform/Pulumi, and cloud platforms (AWS, Azure, or GCP)
Mastery of integrating SAST, DAST, SCA, and Secret Scanning into GitHub Actions, GitLab CI, or Jenkins
Hands-on experience securing MLOps pipelines and implementing security for AI-integrated APIs
Proficiency in Python, Go, or Bash for building custom security automation and AI-driven scripts
Deep knowledge of eBPF, Prometheus, and AI-powered logging/monitoring tools (e.g., Dynatrace or Datadog)

DevSecOps Architect

Key skills