DevOps Engineer

Key Responsibilities Service Ownership Lead investigation of deployment failures and environment issues. Troubleshoot across application, middleware, operating system, network and infrastructure layers. Perform deep root-cause analysis and implement permanent corrective actions. Analyse pipeline failures, logs, monitoring data and infrastructure events. Support critical releases and major incidents. Ensure recurring issues are resolved through engineering improvements rather than operational workarounds. Automation & Engineering Design, build and maintain automation using Ansible, Python, Terraform and Jenkins. Systematically identify manual tasks and eliminate them. Build reusable, self-service capability so teams can unblock themselves. Drive Infrastructure as Code adoption across the pre-production and Proving estate. Automation & Continuous Improvement Partner with the existing SME to capture and automate manual processes. Share knowledge and promote automation best practices. Build trust through small, visible wins before large-scale change. Escalate constructively where adoption stalls; do not work around people. Engineering Excellence Improve monitoring, logging and operational visibility. Standardise deployment processes across platforms. Contribute to platform modernisation (OpenShift, containers, cloud). Improve documentation, operational procedures and service standards. Contribute to continuous improvement initiatives across the service. Required Experience & Skills Must Have (non-negotiable — screen out if absent) Requirement 1 Demonstrable deep troubleshooting and root-cause-analysis capability under pressure 2 Strong hands-on Ansible , Terraform and Python scripting 3 Terraform / Infrastructure as Code 4 Git / GitHub / GitLab and branching workflows 5 Jenkins pipeline administration and development 6 Solid Linux administration (Windows awareness acceptable) Should Have Requirement 1 5+ years supporting enterprise applications or platforms 2 Release and deployment management practice 3 Containers — ECS or OpenShift/Kubernetes 4 Cloud — AWS (Azure/GCP acceptable) 5 Enterprise-scale, regulated environment experience 6 Monitoring and observability tooling 7 certificates knowledge (SSL/MTLS) 8 Experience in critical production or pre-production environments 9 Proven record of replacing manual processes with automation 10 Evidence of influencing/upskilling colleagues resistant to change 11 Troubleshoot across application, application tiers, network and infrastructure layers. Nice to Have (differentiators, not screening criteria) # Requirement 1 Financial services / regulated sector background 2 Security and compliance automation 3 DORA metrics implementation Agentic AI (Advantageous) The ideal candidate will have exposure to, or hands-on experience with: Designing and implementing Agentic AI solutions. AI-assisted operational automation. Intelligent workflow orchestration. AI-driven incident management and remediation. AI-enabled deployment validation and control frameworks. Leveraging Generative AI technologies to improve engineering productivity and governanc