AI Devops Engineer

Job Description & Requirements

Make an Impact by:

• Design, build, and maintain CI/CD pipelines using selected tooling
• Implement security-by-design principles across build, test, release, and deployment stages
• Introduce automation for secrets management, vulnerability scanning, policy enforcement, and compliance validation
• Implement security baselines and controls for code repositories, infrastructure, and deployment pipelines
• Implement and monitor secure artifact and container registries
• Explore and implement use cases for GenAI in secure software development (e.g., AI-assisted code review, automated documentation, security linting)
• Implement guardrails and risk mitigation strategies for GenAI-enabled development processes
• Provide DevSecOps best practices and guidance to platform and engineering teams
• Contribute to operational readiness, observability, and incident response playbooks related to platform deployments

Skills for Success:

• Bachelor’s degree in Computer Science, Information Security, or a related field
• 1-3 years of experience in DevOps, cloud engineering or cybersecurity with at least 1 year focused on DevSecOps
• Experience with implementing and operating Atlassian, GitLab and/or Azure DevOps platforms
• Understanding of cloud security practices, networking, and access control in hybrid environments
• Knowledge of integrating GenAI tools into developer workflows (e.g., GitHub Copilot
• Clear communicator who can explain complex technical risks and solutions to non-technical stakeholders
• Self-driven and proactive, comfortable working in a fast-paced environment