Senior DevSecOps Architect - Banking - £100,000 - £140,000 + Bonus

Job title: Senior DevSecOps Architect Client: Banking Salary: £100,000-£140,000 + Bonus Location: London Skills: DevSecOps, Architecture, Automation, Test Strategies, Test Automation, AI, CI/CD, Security, Azure DevOps The role: My client, an established multinational in the Banking sector, are seeking a DevSecOps Architect (Director level). The role is a broad mixture of technical work and architecture, combined with stakeholder management, and facing off against the business. The organisation would like the individual to stem initially from a Testing background prior to moving into DevSecOps type work, as the first part of the role will be dedicated to unifying the SDLC and Testing strategies across a number of business units. Core responsibilities and duties at a glance:

• Owning architecture throughout the SDLC, Building, Testing, and Release
• Applying AI to accelerate architecture
• Defining CI/CD architecture
• Consideration of legacy pipelines when building and integrating systems
• Establish automation best practices
• Test Automation across the test lifecycle
• Security Integration and Implementation of controls into pipelines
• Defining Security in AI across the SDLC Required experience:
• Strong experience architecting CI/CD and DevSecOps platforms at large scale, enterprise levels, within regulated environments
• Expert in Test Automation strategies, and can provide examples of success in this area
• Practical experience around Security Integration across the pipeline, including ability to apply controls and policies
• Exposure to AI/ML/LLM systems, including how they are selected, implemented and monitored
• CI/CD – Azure DevOps, GitOps, Jenkins, Artefacts
• Testing – Selenium, Cypress, Playwright, JUnit, PyTest, JMeter, Chaos/Resilience tooling
• Security – SonarQube, Snyk, Checkmarx, Veracode, Trivy, Secrets Management, HashiCorp Suite, SBOM, SLSA
• Platform/DevOps – Kubernetes, Containers, Terraform, Service Mesh (Istio), Observability
• AI/ML – MLOps / LLMOps, Models, Vector Stores, Frameworks, Agent Frameworks, AI Patterns Useful:
• Model Risk Management
• Platform Engineering background, Devtooling
• Engineering Metrics Personal:
• Ability to influence technical direction and delivery, working across multiple teams
• Delivery focused with a passion for efficiency and DevEx
• Collaborative leader, able to drive technical change and resulting organisational change