The posting, in Capco's own words
archived Oct 30, 2026Senior DevSecOps Engineer Location : London | Practice Area: Technology & Engineering | Type: Permanent Build the platforms that power secure, intelligent and scalable enterprise engineering.
The Role
At Capco, we're looking for a Senior DevSecOps Engineer to help design, build and modernise enterprise software delivery capabilities for leading financial services organisations. You'll play a key role in developing a modern enterprise Software Development Lifecycle (SDLC) platform, with a focus on CI/CD automation, policy-as-code, security controls and cloud-native engineering. This is a hands-on engineering opportunity where you'll translate architecture into production-ready capabilities, integrate complex enterprise technologies and support engineering teams in adopting scalable, secure delivery practices. You'll also explore approved AI-enabled engineering tools and workflows to improve development productivity, automation and delivery quality, while maintaining appropriate human oversight, security controls and responsible AI practices.
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What You’ll Do
Build modern CI/CD platforms: Design, develop and implement enterprise GitLab SaaS CI/CD pipelines, reusable engineering patterns and automated workflows, leveraging approved AI-assisted engineering capabilities where appropriate to improve efficiency and quality. Embed security and governance: Implement policy-as-code, automated security and quality gates, change controls, SAST, DAST, secrets management and vulnerability management throughout the SDLC. Engineer cloud-native solutions: Build and integrate services across Azure, Kubernetes and Azure API Management, supporting application, cloud and data workloads, including Snowflake and Salesforce. Modernise enterprise engineering environments: Support migrations from legacy Jenkins, GitLab, SonarQube, Artifactory/Nexus and AWS environments, integrating observability capabilities using Grafana and Prometheus. Enable engineering teams: Translate target architecture into working production capabilities, develop reusable platform services and onboard engineering teams, promoting responsible AI-enabled workflows with appropriate review, auditability and human decision-making.