
Azure DevOps Engineer
- Alderley Edge, Cheshire
- Permanent
- Full-time
- Modernising our technology is fundamental to realising our ambitions and achieving sustained competitive advantage. It will allow us to develop an innovative and leading proposition, achieve speed to market and ongoing pace of change, and maintain a competitive cost-to-develop and cost-to-serve.
- We are forming new engineering capability in our Alderley Park office to deliver and maintain a new technology solution which will support our financial product offering.
- We have more than 80 vacancies for people to be part of this exciting opportunity.
- Create and Deliver Solutions: Develop technology solutions that meet business requirements, ensuring efficiency, cost-effectiveness, and minimal environmental impact.
- Enhance and Integrate: Modify existing solutions, integrate new ones with current systems, and support the reuse of shared platforms.
- Security and Documentation: Implement security standards, including role-based permissions and access auditing, and ensure thorough documentation of designs and configurations.
- Testing and Quality: Collaborate with Quality Engineering and Infrastructure teams to test solutions for functionality and performance, embedding quality throughout the development process.
- Continuous Improvement and Support: Address issues, drive ongoing improvements, support continuous integration and deployment, and enhance solution resilience to handle disruptions.
- Infrastructure as Code (IaC) Development: Design, implement, and manage Terraform scripts to automate cloud infrastructure on Azure, ensuring efficient and secure resource provisioning.
- CI/CD Pipeline Implementation: Develop and maintain CI/CD pipelines in Azure DevOps, integrating Terraform to automate infrastructure deployments with validation and security checks.
- Environment Management: Manage multiple environments using Terraform Workspaces, ensuring best practices for state file management, versioning, and locking mechanisms.
- Workload Design and Management: Design and manage highly scalable and resilient workload solutions including cloud native serverless and containerised workloads to Kubernetes.
- Event Streaming: Design and maintain business critical event streaming capability with Confluent.
- Collaboration and Optimization: Work with cross-functional teams to define infrastructure requirements, implement monitoring and performance optimization, and ensure security and compliance using Azure tools.