2 of 2 Public Cloud Jobs in Salford

Private Cloud Infrastructure Lead page is loaded Private Cloud Infrastructure Lead Apply locations Manchester Leeds Wellington Place time type Full time posted on Posted 7 Days Ago time left to apply End Date: August 14, 2025 (7 days left to apply) job requisition id 138172 End Date Wednesday 13 August 2025 Salary Range £90,440 - £106,400 We … support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working, Job Share Job Description Summary . Job Description JOB TITLE: Private Cloud Infrastructure Lead SALARY: £90,440 - £106,400 LOCATION(S): Leeds or Manchester HOURS: Full time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per … week, or 40% of our time, at our locations noted above. About this Opportunity: We are modernising with cloud, a platform that is quick, secure and resilient for customers and easy, modern and green for developers. We're looking for Infrastructure Specialists to join our Private Cloud Platform. You'll have a unique opportunity to be part of More ❯

goals. Code Quality and Standard Methodologies: Develop modular, testable code and ensure consistency to standard methodologies in source code management using Git. Integration and Deployment: Utilise integration tools and cloud infrastructure to implement seamless solutions, ensuring smooth deployment processes. Agile Methodologies: Champion agile development practices, including continuous integration and test automation (TDD, BDD, Playwright). What you'll need … systems. Java with SpringBoot or python. Kubernetes and container management. Building RESTful services and Web UI. Exposure to continuous integration/continuous deployment pipelines and test automation. Exposure to public cloud infrastructure, data streaming and Spanner DB. Experience coaching and mentoring teams to adopt the best practices. Experience of working as part of an agile team using agile … tackle complex challenges. Some experience of curating and running production-scale ML pipelines. Up to date with the latest developments in machine learning (LLMs). Experience with AWS, Google Cloud, or Azure for deploying machine learning models. About working for us Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and More ❯