SGUNITEDJOBS- AI Devops Engineer
Summary
Build and secure CI/CD pipelines, integrate GenAI tools for code review and security linting, and enforce DevSecOps best practices in cloud 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