Senior DevOps Engineer - Azure - L2

The Senior DevOps Engineer works closely with the DevOps & Cloud Engineer Lead and software engineering teams to design, implement, automate and maintain the cloud infrastructure and DevOps capabilities that underpin the Digital Product portfolio.

The role is hands-on, with a strong focus on Microsoft Azure, Infrastructure as Code, CI/CD, automation and cloud operations. The successful candidate will take ownership of key platform components, drive improvements in infrastructure reliability and deployment processes, establish and maintain technical standards, and provide technical guidance to application teams.

The role requires someone who can independently manage complex technical tasks, troubleshoot challenging infrastructure and deployment issues, and contribute to the continuous improvement of the organisation's cloud and DevOps practices.

• →Design, build, configure and maintain scalable, secure and reliable Azure infrastructure supporting Digital Product applications and services.
• →Develop and maintain Infrastructure as Code using Bicep and Terraform, ensuring consistency, reusability and adherence to established architectural standards.
• →Design, implement and optimise Azure DevOps pipelines across Dev, UAT and Production environments, supporting application onboarding, infrastructure deployment and CI/CD processes.
• →Develop automation solutions for infrastructure provisioning, configuration management and operational processes using PowerShell, Azure CLI, Bash, Python and other appropriate tooling.
• →Support the deployment, configuration and ongoing operation of .NET applications and associated Azure services.
• →Take ownership of complex cloud infrastructure, deployment and pipeline issues, performing root cause analysis and implementing long-term solutions.
• →Monitor and improve cloud infrastructure performance, availability, security and cost efficiency using appropriate monitoring and observability tools.
• →Identify and implement opportunities to improve automation, infrastructure reliability, deployment efficiency and operational processes.
• →Establish, maintain and promote DevOps standards, best practices, technical documentation and reusable tooling.
• →Collaborate with software developers, testers, architects, security teams, enterprise platform teams and project managers to ensure effective application delivery.
• →Provide technical guidance and knowledge sharing to other engineers, supporting the development of DevOps capabilities across the team.
• →Evaluate emerging technologies, tools and practices, including AI-assisted development tools, to identify opportunities for continuous improvement.

• Bachelor's degree in Computer Science, Information Technology or a related field, or equivalent practical experience.
• 5+ years of hands-on experience in DevOps, Cloud Engineering or Infrastructure Engineering roles.
• Strong hands-on experience with Microsoft Azure, including designing, implementing and maintaining cloud infrastructure. Experience with AWS or other cloud platforms is advantageous.
• Strong experience with Azure DevOps, Git and CI/CD concepts, including designing and maintaining deployment pipelines.
• Practical experience with Infrastructure as Code tools such as Bicep and Terraform, with strong Bicep experience highly desirable.
• Strong scripting and automation experience using PowerShell, Bash, Azure CLI, Python or similar languages.
• Good understanding of cloud infrastructure concepts, including networking, identity and access management, security and governance.
• Experience deploying, supporting and troubleshooting applications and services in cloud environments.
• Experience with .NET, SQL Server / Azure SQL, PostgreSQL, Azure API Management (APIM), App Service, Load Balancer and Virtual Machines.
• Good understanding of Azure security controls, including RBAC, managed identities, Key Vault and network security.
• Experience with monitoring and observability tools such as Azure Monitor, Application Insights and Log Analytics.
• Experience with AI-assisted development tools (e.g. GitHub Copilot, Claude) and familiarity with integrating LLM APIs into development or operational workflows.
• Strong understanding of software development practices, including source control, pull requests, branching strategies and code reviews.
• Demonstrated ability to independently manage technical tasks, troubleshoot complex issues and take ownership of solutions through to completion.
• Strong analytical, problem-solving and decision-making skills.
• Good communication and collaboration skills, with the ability to work effectively across technical and non-technical teams.
• Ability to provide technical guidance and support to other engineers.
• Flexibility to occasionally work outside normal business hours, including weekends.

• Cloud Platforms: Microsoft Azure (primary), AWS or equivalent.
• Infrastructure as Code: Bicep, Terraform.
• CI/CD & Source Control: Azure DevOps, Git.
• Scripting & Automation: PowerShell, Bash, Azure CLI, Python.
• Azure Services: App Service, Azure API Management, Azure SQL, Virtual Machines, Load Balancer, Key Vault.
• Security & Identity: Azure RBAC, Managed Identities, Network Security.
• Monitoring & Observability: Azure Monitor, Application Insights, Log Analytics.
• Databases: SQL Server, Azure SQL, PostgreSQL.
• Collaboration & Documentation: Atlassian Jira, Confluence.
• AI-Assisted Development: GitHub Copilot, Claude and LLM API integrations.