DevSecOps SME

Salary: $100 - $125 per hour

DevSecOps SME - Automation & AI

We're partnering with a leading financial services organisation seeking an experienced DevSecOps SME to help modernise its software delivery environment.

This is a senior, hands-on role combining DevSecOps engineering, security automation and technical leadership. You'll design end-to-end solutions, improve CI/CD and application security practices, and explore how generative and agentic AI can improve developer productivity and delivery speed.

What you'll be doing

• Design and implement end-to-end DevSecOps and cloud automation solutions.
• Build and enhance CI/CD pipelines using tools such as Azure DevOps, Sonar and Artifactory.
• Embed application security testing and automated quality controls into delivery pipelines.
• Automate testing throughout the software development lifecycle.
• Develop proofs of concept and value to assess new tools, platforms and approaches.
• Use technologies such as GitHub Copilot, generative AI and agentic AI to automate processes and improve engineering productivity.
• Drive continuous improvement across development, testing and delivery practices.
• Ensure solutions meet security, risk, governance and compliance requirements.
• Provide technical leadership and guidance to engineering and delivery teams.
• Work closely with business, technology, security and risk stakeholders.
• Support testing, production releases and incident resolution when required.
• Identify technical and operational risks and communicate these clearly to senior stakeholders.

What we're looking for

• At least five years' experience across DevSecOps, cloud automation or platform engineering.
• Strong hands-on experience designing and building CI/CD solutions.
• Experience with Azure DevOps and related tooling such as Sonar and Artifactory.
• Strong knowledge of application security testing and security automation.
• Experience integrating automated testing and security controls into CI/CD pipelines.
• Practical experience using generative AI tools such as GitHub Copilot.
• Exposure to agentic AI, AI-enabled automation or developer-productivity solutions.
• Sound understanding of SDLC, Agile delivery and engineering governance.
• Strong analytical, troubleshooting and problem-solving abilities.
• Excellent stakeholder-management and technical-leadership skills.
• The ability to balance delivery outcomes with security, operational and regulatory risk.

Highly regarded

• Previous experience within financial services or another highly regulated environment.
• Background in technology consulting.
• Experience leading proofs of concept for emerging technologies.
• Relevant tertiary qualifications or equivalent industry experience.

Why consider this opportunity?

You'll join a large, complex technology environment where DevSecOps, security automation and AI-enabled engineering are genuine strategic priorities. This is an opportunity to influence engineering standards, evaluate emerging technology and deliver solutions that improve security, quality and speed across the software-development lifecycle.

If you're a hands-on DevSecOps specialist who can combine technical depth with strong stakeholder engagement, we'd love to hear from you.