DevSecOps Engineer (Pipeline Security) - AI

London, United Kingdom | Posted on 20/03/2026

Job Role: DevSecOps Engineer (Pipeline Security) - AI

Contract Duration: 6 months

Location: London / Sheffield (Hybrid - 3 days on site)

Daily Rate: Inside IR35

Job Summary:

We are seeking a skilled DevSecOps Engineer to join our team on a 6-month contract basis. The role focuses on embedding robust security controls into developer workflows that utilize Claude Code, with a particular emphasis on securing AI-generated code. You will be responsible for integrating Static Application Security Testing (SAST), secrets scanning, and designing secure CI/CD pipelines to ensure the integrity and security of AI development processes.

Key Responsibilities:

• Embed security controls within developer workflows leveraging Claude Code for AI development.
• Integrate and maintain SAST tools specifically targeting AI-generated code to identify vulnerabilities early.
• Implement secrets scanning mechanisms to prevent sensitive data exposure in code repositories and pipelines.
• Design, build, and optimize secure CI/CD pipelines that align with best practices in DevSecOps.
• Collaborate closely with development, security, and AI teams to ensure seamless security integration without hindering productivity.
• Conduct security assessments and provide recommendations to improve pipeline security posture.
• Stay current with emerging security threats and AI development trends to proactively enhance security measures.

Required Qualifications and Skills:

• Proven experience in DevSecOps engineering, particularly in pipeline security and automation.
• Strong knowledge of CI/CD tools and platforms (e.g., Jenkins, GitLab CI, Azure DevOps).
• Experience with SAST tools and integrating them into development workflows.
• Familiarity with secrets management and scanning tools (e.g., HashiCorp Vault, GitGuardian).
• Understanding of AI development workflows and challenges related to AI-generated code security.
• Proficiency in scripting and automation (e.g., Python, Bash).
• Good understanding of cloud platforms (AWS, Azure, or GCP) and their security features.
• Strong problem-solving skills and ability to work collaboratively in cross-functional teams.

Preferred Qualifications:

• Experience working with Claude Code or similar AI code generation tools.
• Knowledge of container security and orchestration platforms (e.g., Docker, Kubernetes).
• Familiarity with compliance frameworks relevant to financial services or regulated industries.

Soft Skills:

• Excellent communication skills to articulate security concepts to technical and non-technical stakeholders.
• Proactive mindset with a strong focus on continuous improvement and security innovation.
• Ability to manage priorities effectively in a fast-paced, hybrid working environment.

Additional Information:

• This is a hybrid role requiring 3 days per week onsite in London or Sheffield.
• IR35 regulations apply; the contractor will be engaged under a deemed employment status.
• Opportunity to work on cutting-edge AI security challenges within a leading financial services environment.