AI DevSecOps Engineer

Make an Impact by:Design, build, and maintain CI/CD pipelines using selected toolingImplement security-by-design principles across build, test, release, and deployment stagesIntroduce automation for secrets management, vulnerability scanning, policy enforcement, and compliance validationImplement security baselines and controls for code repositories, infrastructure, and deployment pipelinesImplement and monitor secure artifact and container registriesExplore 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 processesProvide DevSecOps best practices and guidance to platform and engineering teamsContribute to operational readiness, observability, and incident response playbooks related to platform deploymentsSkills for Success:Bachelor’s degree in Computer Science, Information Security, or a related field1-3 years of experience in DevOps, cloud engineering or cybersecurity with at least 1 year focused on DevSecOpsExperience with implementing and operating Atlassian, GitLab and/or Azure DevOps platformsUnderstanding of cloud security practices, networking, and access control in hybrid environmentsKnowledge of integrating GenAI tools into developer workflows (e.g., GitHub CopilotClear communicator who can explain complex technical risks and solutions to non-technical stakeholdersSelf-driven and proactive, comfortable working in a fast-paced environment