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