AI DevSecOps Engineer

We are looking for an experienced AI Dev Sec Ops  Engineer to integrate AI-driven capabilities into Dev Sec Ops  practices, strengthen application and infrastructure security, and automate CI/CD pipelines. The ideal candidate will have strong hands-on experience in Dev Sec Ops , cloud security, Infrastructure as Code (IaC), and AI/ML-enabled security automation.

The candidate should be capable of leveraging AI tools to identify vulnerabilities, automate security testing, improve threat detection, and embed security controls throughout the software development lifecycle.

• Design, implement, and maintain secure CI/CD pipelines with integrated security checks and automated compliance controls.
• Integrate AI/ML-based tools and capabilities into Dev Sec Ops  workflows to improve vulnerability detection, threat analysis, and security automation.
• Implement automated security testing, including SAST, DAST, SCA, container security, and API security testing.
• Secure cloud environments across AWS, Azure, or GCP, including identity and access management, network security, and workload protection.
• Implement Infrastructure as Code (IaC) security using tools such as Terraform, Checkov, or equivalent solutions.
• Leverage AI-assisted code analysis and security tools to identify potential vulnerabilities, misconfigurations, and security risks.
• Develop automation scripts and workflows using Python, Bash, or Power Shell.
• Implement secrets management, encryption, access controls, and security policy enforcement across development and deployment environments.
• Monitor security events, analyze threats, and support incident response and remediation activities.
• Work closely with development, platform engineering, cloud, and cybersecurity teams to embed security best practices into the SDLC.
• Establish security metrics, dashboards, and reporting to track vulnerabilities, remediation progress, and compliance.
• Evaluate emerging AI security tools and practices, including risks associated with AI-generated code, LLM integrations, and AI-enabled applications.

• 5+ years of experience in Dev Ops, Dev Sec Ops , cloud engineering, or cybersecurity, with relevant hands‑on security automation experience.
• Strong experience designing and managing CI/CD pipelines using Jenkins, Git Lab CI/CD, Git Hub Actions, Azure Dev Ops, or similar tools.
• Hands‑on experience with security testing tools such as Sonar Qube, Snyk, Checkmarx, Veracode, OWASP ZAP, Trivy, or equivalent platforms.
• Experience with Docker, Kubernetes, container security, and cloud‑native application security.
• Strong understanding of cloud security across AWS, Azure, or GCP.
• Experience with Infrastructure as Code tools such as Terraform, Ansible, or Cloud Formation and related security scanning practices.
• Proficiency in Python, Bash, or similar scripting languages for automation.
• Practical experience using AI‑powered security tools, AI‑assisted code analysis, or ML‑based security automation.
• Understanding of OWASP Top 10, secure SDLC, vulnerability management, threat modeling, and security compliance standards.
• Knowledge of secrets management, IAM, encryption, security policies, and audit logging.
• Strong troubleshooting, analytical, and problem‑solving skills.