Our client is a global leader in the domain of clearing, offering access to a wide range of listed instruments on markets across the globe. We are a full subsidiary of a Dutch Bank, with offices in Amsterdam, Chicago, Sydney, Singapore, Tokyo Hong Kong, London, Sao Paulo and Frankfurt. IT is in the heart of our organization, where over 300 developers from more than 30 different product teams and 10 different platform teams try to build the best products & services for our clients.
Development Services Team
Development Services is an international/global team. Our vision is to enable development teams to adopt Standardized Platforms, Pipelines and DevX across all teams. As a member of Development Services team, you will be interacting very closely with product development teams, in different regions across the globe.
Your Job:
We are seeking a highly skilled Senior DevSecOps Engineer with AI expertise to help drive secure software delivery, AI-enabled application security, and DevSecOps automation across enterprise engineering platforms. The role will focus on integrating AI-assisted security controls into CI/CD pipelines, improving software supply chain security, implementing AI-powered code scanning capabilities, and enabling secure adoption of AI development platforms such as GitLab Duo Agentic Platform and related AI engineering capabilities
With the following results:
Key Responsibilities
DevSecOps Engineering
Design and maintain secure CI/CD pipelines.
Integrate security, testing, and compliance controls into development workflows.
Promote DevSecOps best practices and secure software delivery.
Ensure alignment with organizational standards, regulations, and audit requirements.
AI-Powered Application Security
Implement AI-assisted code scanning and security review capabilities.
Evaluate and integrate AI security tools into the SDLC.
Support secure coding practices and vulnerability identification.
Define guardrails for AI-enabled software development.
Software Supply Chain Security
Implement SBOM and software composition analysis practices.
Strengthen dependency, package, and artifact security.
Improve vulnerability management and supply chain risk controls.
AI Security & Governance
Establish controls for secure and compliant use of LLMs and AI tools.
Support AI governance, monitoring, auditing, and policy enforcement.
Enable secure AI adoption across engineering teams.
Automation & Platform Engineering
Automate security, compliance, and remediation processes.
Drive platform standardization and engineering efficiency.
Collaborate with Security, Architecture, Risk, and Development teams.
Enablement & Collaboration
Support platform onboarding, migrations, and adoption initiatives.
Deliver training and guidance on GitLab, DevOps, and DevSecOps practices.
Promote knowledge sharing and continuous improvement across teams
Relevant knowledge skills & competences:
Experience
• Strong hands on experience with GitLab CI/CD
• 5+ years of experience in DevOps, Platform Engineering, or DevSecOps.
• Proven experience implementing CI/CD platforms at enterprise scale.
• Hands-on experience with application security and vulnerability management.
• Experience integrating security controls into software delivery pipelines.
Technical Skills:
• GitLab CI/CD
• SAST, DAST, SCA, Vulnerability Management
• Secure Software Development Cycle
• Supply Chain security, SBOM
• GenAI
• AI-assisted coding tools
• LLM security concents
• AI govenrnace & guardrails
• Agentic workflows & automation frameworks