Information Security

Senior DevSecOps Engineer

Capco

London · Greater London · United Kingdom

Overview

In this Senior DevSecOps role, you will design and modernise an enterprise SDLC platform with a focus on CI/CD automation, policy-as-code and security controls. You’ll work across Azure, Kubernetes and cloud-native services to deliver production-ready platform capabilities that enable secure, scalable software delivery for financial services. You’ll explore approved AI-enabled workflows to boost productivity while upholding responsible AI practices. You’ll collaborate with cross-functional teams to translate architecture into reusable services and governance-driven pipelines.

Pay / Benefits
  • Discretionary bonus
  • competitive pension
  • health insurance
  • life insurance
  • critical illness cover
  • Mental Health resources
Responsibilities
  • Design, build and operate enterprise GitLab CI/CD pipelines and reusable patterns
  • Implement policy-as-code, automated security gates, and quality gates across the SDLC
  • Develop cloud-native services across Azure, Kubernetes, and Azure API Management
  • Migrate and modernise legacy tooling (Jenkins, SonarQube, Artifactory/Nexus, AWS) and enhance observability with Grafana/Prometheus
  • Onboard and enable engineering teams, translating target architecture into production capabilities
  • Embed security governance and secure delivery practices throughout delivery pipelines
  • Incorporate AI-enabled tooling to improve development productivity with appropriate review and oversight
  • Support data-intensive workloads with Snowflake and Salesforce integrations
  • Drive scalable, production-ready platform capabilities through architectural implementation and knowledge transfer
  • Promote responsible AI-enabled workflows with human decision-making and auditability
Key requirements
  • Extensive hands-on experience with GitLab CI/CD pipelines and Azure-based engineering solutions
  • Strong Kubernetes and cloud-native engineering experience
  • Experience embedding identity, security controls, automated testing, and compliance in pipelines
  • Proven track record modernising complex engineering environments and delivering scalable platforms
  • Technical leadership and ability to translate designs into production, with knowledge transfer
  • Interest in applying approved AI tools and automation responsibly
  • collaborative
  • communication
  • leadership
  • GitLab CI/CD
  • Azure
  • Kubernetes

Reference: WJ-747_31211777

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