4 of 4 Release Automation Jobs in Yorkshire

queue time, lead time, change fail rate, MTTR) to drive reliability. Automate IaC workflows (Terraform/Terragrunt) and integrate testing, artifact/versioning, and release orchestration. Partner with teams to onboard to golden paths; provide enablement, examples, and reference implementations. Participate in an on‐call rotation, ensuring platform stability … platform engineering, DevOps, or related infrastructure roles. Application development experience (backend or frontend). Practical experience in cloud‐native environments (Azure preferred), infrastructure automation, and container orchestration (e.g., Kubernetes or Service Fabric). Proficiency in Infrastructure as Code systems (Terraform, Azure Resource Manager, CloudFormation). Proven ability to implement ...

Cloud Platform (GCP) or another major cloud provider, including managed services and database integrations. Strong knowledge of CI/CD pipelines, source control, and release automation practices. Experience implementing automated testing (unit, integration, and end-to-end). Strong understanding of SQL and NoSQL databases, data modelling ...

enable practical AI adoption across our cllient's product and service portfolio, creating customer facing offerings and internal capabilities that improve service quality, automation, productivity and operational efficiency. A key focus of the role will be to embed AI into existing products, services, operational capabilities and delivery practices, while … also developing specific AI product offerings, internal tooling, process automation, knowledge enablement and engineering accelerators. Suitable candidates will have experience of the folloiwng: Delivering repeatable AI architectures, delivery patterns and implementation frameworks. Defining and maturing specific AI product offerings with clear service, commercial and operational models. Embedding AI into ...

shape and enable practical AI adoption across its product and service portfolio, creating customer facing offerings and internal capabilities that improve service quality, automation, productivity and operational efficiency. A key focus of the role will be to build an AI practice responsible for governing and controlling … Defining and maturing specific AI product offerings with clear service, commercial and operational models. Embedding AI into existing services and internal operating capabilities. Improving automation, documentation, knowledge management, engineering productivity and operational efficiency. Supporting secure, governed and supportable AI adoption through modern delivery and assurance practices. Designing and delivering ...