Devsecops AI Engineer

DevSecOps Engineer – AI & Automation (Mid–Senior)\

Location:Sydney Overview\

We are seeking a DevSecOps Engineer to join a high-performing engineering team, with a focus on building secure, scalable, and intelligent CI/CD pipelines in Azure DevOps. This role sits at the intersection of security, automation, and AI, giving you the opportunity to embed security across the SDLC while leveraging machine learning and AI tooling to enhance pipeline efficiency, threat detection, and remediation. You’ll play a key role in shaping a security-first engineering culture, working across distributed teams to deliver modern, cloud-native solutions.

Design and implement AI-powered security scanning within CI/CD pipelines Apply LLMs and ML tools to automate code review, detect anomalies, and generate security insights Build intelligent remediation workflows that prioritise and surface fixes directly to developers Leverage AI tools such as Copilot to accelerate infrastructure-as-code and pipeline development Contribute to evolving AI-driven DevSecOps practices across the organisation Key Responsibilities

Platform & Architecture

Design, build, and maintain a scalable DevSecOps platform in Azure DevOps Establish pipeline standards, templates, and governance frameworks Implement infrastructure-as-code (Terraform/Ansible) to ensure consistency across environments Security Integration & Automation

Integrate security tooling into CI/CD pipelines (SAST, DAST, SCA, secrets and container scanning) Embed automated security controls and quality gates throughout the SDLC Use AI-driven techniques to prioritise vulnerabilities and reduce alert fatigue Pipeline & Tooling

Develop and maintain CI/CD pipelines covering build, test, security, and deployment stages Automate provisioning, configuration, and environment lifecycle management Build custom tooling and scripts (Python, PowerShell) to extend platform capabilities Implement AI-assisted diagnostics to improve pipeline performance and reliability Cloud & Container Security

Design and secure cloud environments across Azure and AWS Manage containerised environments using Kubernetes and Docker Apply best practices across IAM, secrets management, and cloud security services Collaboration & Enablement

Partner with engineering and security teams to promote DevSecOps best practices Provide guidance on secure coding, pipeline usage, and AI tooling Contribute to threat modelling, security reviews, and documentation Skills & Experience

Required

5years in DevOps or DevSecOps engineering Strong experience with Azure DevOps (pipelines, repos, agents) Hands-on integration of security tools (SAST, DAST, SCA) Infrastructure-as-code expertise (Terraform and/or Ansible) Cloud experience in Azure and/or AWS Container technologies (Docker, Kubernetes) Scripting skills (Python, PowerShell) Solid understanding of application security (OWASP, shift-left principles) Familiarity with AI/ML concepts in engineering or security contexts Desirable

Experience with GitHub Advanced Security, GitLab Ultimate, or similar platforms Exposure to generative AI tools (Copilot, Azure OpenAI, etc.) Relevant certifications (AZ-400, AWS DevOps, DevSecOps) Experience in regulated industries (e.g. financial services, SOC2, ISO 27001) Knowledge of software supply chain security (e.g. SBOM)