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. 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.

Microsoft DevOps Engineer

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