Summary
✨ AI‑Generated
An AI agent development role within a cybersecurity engineering team supporting critical secrets-management capabilities. You will build security tooling and automation, contribute to vulnerability analysis and remediation, improve cyber resilience and observability, and collaborate with distributed engineering teams.
Highlights
Opportunity to work on critical cybersecurity controls for a global financial organization. The role combines AI agent development, security tooling, DevOps, automation, testing, and observability within a distributed international engineering squad.
Description
AI Agent Developer (Secrets Management)
Location: Glasgow
Experience: 4+ years
A tier-one global financial institution is growing its Secrets Management engineering function, supporting critical cybersecurity controls across a "build-and-run" squad spread across North America, Europe, and India.
The mission is to design and implement new features, tooling, and automations that strengthen cyber resiliency and improve the reliability of services used across the firm.
You will join as a fungible squad member across feature development, AI agent tooling, DevOps, and testing, working closely with wider technology stakeholders to continuously improve service delivery and observability.
Key Responsibilities:
Build Security Tooling: Design and implement features, tooling, and AI agents supporting vulnerability analysis and cyber resiliencyStrengthen Reliability: Support continuous improvement through remediation of security findings, automation, and observability solutionsUphold Standards: Enforce adherence to architectural principles, product guidelines, and usability standardsIntegrate & Onboard: Develop new integrations and onboard tooling to support business needs across the wider ecosystemShare Knowledge: Contribute to cross-team knowledge sharing, documentation, and presentations across the squad and departmentParticipate in Delivery Ceremonies: Take part in design discussions, code reviews, and Agile ceremonies, including on-call rotation
Required Skills:
Core Technical Stack: 4+ years' backend/full-stack or AI agent development experience in Golang or Python, including REST APIs and microservices conceptsInfrastructure Experience: 2+ years' experience with Kubernetes, including HelmAI Agent Exposure: Experience leveraging MCP, A2A, or Vector DBs in AI agent developmentEngineering Fundamentals: Solid understanding of memory and context managementCommunication: Excellent verbal and written communication skills, with a collaborative approach
Desirable Skills:
Experience with HashiCorp products such as Vault or TerraformFamiliarity with concepts such as retry patterns, circuit breakers, idempotency, service discovery, and API gatewaysExperience with CI/CD pipelines (Jenkins, GitLab, or GitHub Actions)Experience with Infrastructure as Code and Configuration as Code practicesExposure to reliability best practices, such as SLOs, incident response, and observability engineeringCybersecurity practice experience, including encryption at rest and in transit, secret management, CVE remediation, authentication/authorisation, and PKI
The mthree Expert Model This role is offered through the mthree Expert Programme.
As an mthree Consultant, you are directly employed by us with full market-rate compensation, targeted skill development, and dedicated talent management.
You will be deployed exclusively to this single Tier-1 banking client with a structured, transparent path to direct permanent conversion.