Senior DevSecOps Engineer

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.

• Discretionary bonus
• competitive pension
• health insurance
• life insurance
• critical illness cover
• Mental Health resources

• 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

• 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