251 to 275 of 3,301 Azure Jobs in the North West

and microservices design. Confidence working with REST APIs, agile methods (Scrum, Kanban), and TDD. Skilled in CI/CD pipelines using Jenkins, AWS CodeBuild, Azure DevOps, or Atlassian tools. Package highlights: Competitive salary + bonus package. 25 days holiday + public holidays, contributory pension, life assurance. Flexible benefits covering More ❯

ensure smooth client operations Embrace new technologies and contribute to innovation within the team Participate in agile development cycles and version control processes (Git, Azure DevOps) Ensure all deliverables meet quality standards and business objectives Build lasting relationships with clients through technical insight and consistency Why Join Be part More ❯

code (IaC) solutions such as Terraform, CloudFormation, or ARM templates. Hands-on experience with CI/CD pipelines using tools like Jenkins, AWS CodeBuild, Azure DevOps, or Atlassian toolsets. Previous exposure to delivering projects within GOV.UK or NHS frameworks is highly desirable. More ❯

issues, debug code, and support end-users. Document the software development process, including technical specifications and user manuals. Automate build and deployment processes using Azure DevOps Pipelines. Ensure the quality and reliability of the software applications they develop. This includes conducting thorough testing, performing code reviews, and implementing best More ❯

issues, debug code, and support end-users. Document the software development process, including technical specifications and user manuals. Automate build and deployment processes using Azure DevOps Pipelines. Ensure the quality and reliability of the software applications they develop. This includes conducting thorough testing, performing code reviews, and implementing best More ❯

issues, debug code, and support end-users. Document the software development process, including technical specifications and user manuals. Automate build and deployment processes using Azure DevOps Pipelines. Ensure the quality and reliability of the software applications they develop. This includes conducting thorough testing, performing code reviews, and implementing best More ❯

issues, debug code, and support end-users. Document the software development process, including technical specifications and user manuals. Automate build and deployment processes using Azure DevOps Pipelines. Ensure the quality and reliability of the software applications they develop. This includes conducting thorough testing, performing code reviews, and implementing best More ❯

panel (either as hiring team lead or participating as a technical expert) Qualifications A degree in Computer Science is desirable but not essential. AWS, Azure or GCP certification is desirable but not essential. More ❯

panel (either as hiring team lead or participating as a technical expert) Qualifications A degree in Computer Science is desirable but not essential. AWS, Azure or GCP certification is desirable but not essential. More ❯

panel (either as hiring team lead or participating as a technical expert) Qualifications A degree in Computer Science is desirable but not essential. AWS, Azure or GCP certification is desirable but not essential. More ❯

panel (either as hiring team lead or participating as a technical expert) Qualifications A degree in Computer Science is desirable but not essential. AWS, Azure or GCP certification is desirable but not essential. More ❯

TypeScript . Solid experience working in Agile/Scrum environments, ideally with globally distributed teams . Hands-on experience deploying applications on AWS, GCP, Azure , or Kubernetes (K8s) . Familiarity with prompt engineering , LLM APIs , AI agents , and related tooling. Proficient in unit testing , integration testing , and Test-Driven More ❯

TypeScript . Solid experience working in Agile/Scrum environments, ideally with globally distributed teams . Hands-on experience deploying applications on AWS, GCP, Azure , or Kubernetes (K8s) . Familiarity with prompt engineering , LLM APIs , AI agents , and related tooling. Proficient in unit testing , integration testing , and Test-Driven More ❯

TypeScript . Solid experience working in Agile/Scrum environments, ideally with globally distributed teams . Hands-on experience deploying applications on AWS, GCP, Azure , or Kubernetes (K8s) . Familiarity with prompt engineering , LLM APIs , AI agents , and related tooling. Proficient in unit testing , integration testing , and Test-Driven More ❯

TypeScript . Solid experience working in Agile/Scrum environments, ideally with globally distributed teams . Hands-on experience deploying applications on AWS, GCP, Azure , or Kubernetes (K8s) . Familiarity with prompt engineering , LLM APIs , AI agents , and related tooling. Proficient in unit testing , integration testing , and Test-Driven More ❯

TypeScript . Solid experience working in Agile/Scrum environments, ideally with globally distributed teams . Hands-on experience deploying applications on AWS, GCP, Azure , or Kubernetes (K8s) . Familiarity with prompt engineering , LLM APIs , AI agents , and related tooling. Proficient in unit testing , integration testing , and Test-Driven More ❯

TypeScript . Solid experience working in Agile/Scrum environments, ideally with globally distributed teams . Hands-on experience deploying applications on AWS, GCP, Azure , or Kubernetes (K8s) . Familiarity with prompt engineering , LLM APIs , AI agents , and related tooling. Proficient in unit testing , integration testing , and Test-Driven More ❯

TypeScript . Solid experience working in Agile/Scrum environments, ideally with globally distributed teams . Hands-on experience deploying applications on AWS, GCP, Azure , or Kubernetes (K8s) . Familiarity with prompt engineering , LLM APIs , AI agents , and related tooling. Proficient in unit testing , integration testing , and Test-Driven More ❯

SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform). Technology deployment– proven experience usinPg technologies such as Docker, Kubernetes, CI/CD platforms (e.g. More ❯

SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform). Technology deployment– proven experience usinPg technologies such as Docker, Kubernetes, CI/CD platforms (e.g. More ❯

SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform). Technology deployment– proven experience usinPg technologies such as Docker, Kubernetes, CI/CD platforms (e.g. More ❯

SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform). Technology deployment– proven experience usinPg technologies such as Docker, Kubernetes, CI/CD platforms (e.g. More ❯

SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform). Technology deployment– proven experience usinPg technologies such as Docker, Kubernetes, CI/CD platforms (e.g. More ❯

SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform). Technology deployment– proven experience usinPg technologies such as Docker, Kubernetes, CI/CD platforms (e.g. More ❯

SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform). Technology deployment– proven experience usinPg technologies such as Docker, Kubernetes, CI/CD platforms (e.g. More ❯