AI Devops Engineer
Summary
Build and secure CI/CD pipelines, integrate GenAI tools for code review and automation, and enforce DevSecOps practices across cloud and hybrid environments.
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