Microsoft DevOps Engineer

The Microsoft DevOps Engineer designs, implements and supports secure, resilient and automated Microsoft Azure platforms. The role owns CI/CD pipelines, Infrastructure as Code, cloud operations, monitoring and continuous improvement, working closely with infrastructure, security, application and project teams to accelerate reliable technology delivery. Key Responsibilities Azure Cloud Engineering Design, deploy and manage Microsoft Azure environments in line with approved architecture and governance standards Support Azure landing zones, networking, compute, storage, backup and disaster recovery services Optimise cloud platform performance, resilience, capacity and cost DevOps & Automation Design and maintain Azure DevOps CI/CD pipelines using reusable YAML templates Automate infrastructure and application deployment using Terraform, Bicep or ARM templates Manage Git repositories, branching controls, pull requests, artefact versioning and release processes Develop PowerShell, Azure CLI and workflow automation to reduce manual operational effort Monitoring & Reliability Implement monitoring and alerting with Azure Monitor, Log Analytics and Application Insights Investigate platform and deployment incidents, complete root cause analysis and drive corrective actions Maintain operational dashboards, service documentation and platform health reporting Security & Compliance Embed DevSecOps controls, secure coding checks, secrets management and vulnerability remediation into delivery pipelines Apply least privilege, RBAC, Entra ID, Conditional Access and Privileged Identity Management controls Support security reviews, audits and compliance requirements, including ISO 27001-aligned practices Collaboration & Improvement Partner with developers, infrastructure, security, data and business teams to translate requirements into robust technical solutions Contribute to Agile planning, technical design reviews and release readiness activities Maintain architecture diagrams, runbooks, standards and knowledge articles Identify and implement opportunities to improve reliability, delivery speed and operational efficiency Requirements Cloud & Infrastructure Microsoft Azure; Azure landing zones; virtual machines; storage; VNETs; NSGs; VPN; ExpressRoute; Azure Backup; Site Recovery; Key Vault; Azure Policy DevOps & CI/CD Azure DevOps Services; Azure Repos; Azure Pipelines; YAML; Git; branching and release strategies; artefact management; continuous integration and deployment Infrastructure as Code Terraform; Bicep; ARM templates; configuration management; reusable modules; environment standardisation Identity & Endpoint Microsoft Entra ID; Conditional Access; RBAC; PIM; MFA; SSO; Microsoft Intune and endpoint management Scripting & Integration PowerShell; Azure CLI; Bash; Python desirable; REST APIs; automation runbooks; workflow integration Containers & Platforms Docker; Kubernetes; Azure Kubernetes Service; Azure Container Registry; cloud-native and microservices concepts Security & DevSecOps Security by design; secure SDLC; secrets management; vulnerability management; policy compliance; threat monitoring; ISO 27001 awareness Observability & Operations Azure Monitor; Log Analytics; Application Insights; incident management; root cause analysis; performance optimisation; SRE principles Ways of Working Agile and Scrum; stakeholder management; technical documentation; problem solving; knowledge sharing; vendor collaboration; continuous improvement Experience & Qualifications Three to five or more years of Azure, cloud engineering or DevOps experience Practical experience building and supporting Azure DevOps pipelines and Infrastructure as Code Strong troubleshooting skills across cloud infrastructure, identity, networking and deployment tooling Experience working within Agile, change-controlled and security-conscious enterprise environments Microsoft Certified: DevOps Engineer Expert, Azure Administrator Associate or Azure Solutions Architect Expert is desirable Terraform Associate and ITIL Foundation certifications are desirable Experience designing and supporting enterprise database structures and data models Strong understanding of relational database design principles, normalization, indexing, and data integrity Experience with Microsoft SQL Server and Azure SQL Database administration Knowledge of data platform architecture including transactional, reporting, and analytical workloads Experience designing data integration solutions between ERP, CRM, HR, and business systems Ability to create and maintain logical and physical data models, entity relationship diagrams (ERDs), and data dictionaries Experience implementing data governance, security, retention, and auditing controls Understanding of modern Microsoft data platforms, including Azure Data Factory, Azure Data Lake, Synapse Analytics, and Microsoft Fabric Experience supporting reporting and analytics solutions using Power BI Personal Attributes Proactive, methodical and accountable, with strong attention to detail Clear communicator able to work effectively with technical and non-technical stakeholders Automation-first mindset with a focus on reliability, security and measurable improvement Able to prioritise competing demands and operate effectively in a fast-paced environment Success Measures Reliable, repeatable and auditable deployment pipelines Reduced manual operational effort through automation and standardisation Improved platform availability, security, resilience and recovery readiness Faster, safer delivery of infrastructure and application changes Accurate documentation, effective knowledge transfer and positive stakeholder feedback