201 to 225 of 4,772 Azure Jobs in the UK

us: Technical Expertise Proven experience and evidence of success in a similar role. Experience of development, deployment, and operation of cloud solutions especially in Azure. Experience/Knowledge of Azure components such as web apps, API management, SQL/NoSQL databases, security components etc would be advantageous. Full stack individuals are highly desirable with proficiency in .NET Core, React … SQL. Either front-end (React) or backend (.NET Core) individuals will also be considered. Experience/Awareness of CI/CD particularly Azure DevOps. Experience/Familiarity with agile/scrum delivery. Any skills in spatial data/GIS would be advantageous. Experience of building data/charting heavy dashboards will be advantageous. Self-motivated individual with good organisation More ❯

influence technical discussions. Proven experience as a Technical Architect or similar role. In-depth knowledge of system design, software architecture, and development methodologies. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Expertise in architectural design, data pipelines, cloud platforms, and API development. Knowledge of microservices and containerisation (Docker, Kubernetes). Experience with security best practices and compliance More ❯

patterns such as microservices, RESTful APIs, event-driven systems, and clean architecture Experience leading teams in agile delivery environments, ensuring a balance between speed and quality Familiarity with AWS, Azure, and OpenShift, and strong Infrastructure-as-Code skills Excellent stakeholder management, facilitation, and communication skills in secure delivery contexts Clearance Requirement This role requires current and active eDV clearance More ❯

patterns such as microservices, RESTful APIs, event-driven systems, and clean architecture Experience leading teams in agile delivery environments, ensuring a balance between speed and quality Familiarity with AWS, Azure, and OpenShift, and strong Infrastructure-as-Code skills Excellent stakeholder management, facilitation, and communication skills in secure delivery contexts Clearance Requirement This role requires current and active eDV clearance More ❯

patterns such as microservices, RESTful APIs, event-driven systems, and clean architecture Experience leading teams in agile delivery environments, ensuring a balance between speed and quality Familiarity with AWS, Azure, and OpenShift, and strong Infrastructure-as-Code skills Excellent stakeholder management, facilitation, and communication skills in secure delivery contexts Clearance Requirement This role requires current and active eDV clearance More ❯

patterns such as microservices, RESTful APIs, event-driven systems, and clean architecture Experience leading teams in agile delivery environments, ensuring a balance between speed and quality Familiarity with AWS, Azure, and OpenShift, and strong Infrastructure-as-Code skills Excellent stakeholder management, facilitation, and communication skills in secure delivery contexts Clearance Requirement This role requires current and active eDV clearance More ❯

patterns such as microservices, RESTful APIs, event-driven systems, and clean architecture Experience leading teams in agile delivery environments, ensuring a balance between speed and quality Familiarity with AWS, Azure, and OpenShift, and strong Infrastructure-as-Code skills Excellent stakeholder management, facilitation, and communication skills in secure delivery contexts Clearance Requirement This role requires current and active eDV clearance More ❯

DevOps practices across varied projects and technology stacks Expertise with automation and configuration tools (e.g. Terraform, Ansible, Jenkins, GitLab CI/CD) Proven experience with major cloud platforms (AWS, Azure, or GCP) Solid understanding of containerisation and orchestration (Docker, Kubernetes) Proficiency in scripting languages such as Bash, Python, or PowerShell Excellent problem-solving and collaboration skills Experience in leading More ❯

SQL/NoSQL) and data transformation techniques Comfortable collaborating in cross-functional technical teams Desirable: Background in Data Analysis or Full Stack Engineering Exposure to cloud platforms (AWS/Azure/GCP) Experience with CI/CD, DevOps, or containerisation (Docker/Kubernetes) Why Join Flexible working hours to suit your lifestyle Collaborative, innovative, and mission-driven culture Opportunity More ❯

SQL/NoSQL) and data transformation techniques Comfortable collaborating in cross-functional technical teams Desirable: Background in Data Analysis or Full Stack Engineering Exposure to cloud platforms (AWS/Azure/GCP) Experience with CI/CD, DevOps, or containerisation (Docker/Kubernetes) Why Join Flexible working hours to suit your lifestyle Collaborative, innovative, and mission-driven culture Opportunity More ❯

of the following is beneficial: Languages: Python, Java, Golang, JavaScript, C++ Frontend: React, Vue.js, AngularJS Backend: Node.js, Nginx, Uvicorn, RESTful APIs Databases: PostgreSQL, MySQL, MongoDB, Cassandra Cloud & DevOps: AWS, Azure, GCP, Docker, Kubernetes Scripting: Bash, PowerShell Passion for learning new tech and solving complex problems Please note: All applicants must UK Security Clearance at eDV level to be considered More ❯

/CD pipelines and infrastructure automation. Required Skills TypeScript/Node.js REST APIs (Express, Nest.js, or similar frameworks) Unit testing (Jest or equivalent) Cloud computing (GCP preferred; AWS or Azure experience also valuable) Infrastructure as Code (Terraform or similar) Docker and Compose Continuous Integration tools and environments Experience in a Continuous Delivery/Deployment setup Strong communication and collaboration More ❯

practices and supporting software in a production environment Experience with tackling performance and scalability issues on large, high-throughput systems Advantageous: Experience with evolving architectures and cloud-native architecture (Azure, AWS or GCP) Knowledge of GIT usage and pull request etiquette Experience with JavaScript frameworks (e.g., Angular, React, Svelte, Vue, AngularJS, Knockout) Interest in containerisation (Kubernetes/Docker) Experience More ❯

experience leading small technical teams , including mentoring and delivery oversight. Strong communication and stakeholder management skills across technical and non-technical audiences. Desirable Experience with multi-cloud environments (AWS, Azure, hybrid). Familiarity with site reliability engineering (SRE) principles and production systems support. Experience driving innovation, technical transformation, and improvements in ways of working. What's on Offer Competitive More ❯

experience leading small technical teams , including mentoring and delivery oversight. Strong communication and stakeholder management skills across technical and non-technical audiences. Desirable Experience with multi-cloud environments (AWS, Azure, hybrid). Familiarity with site reliability engineering (SRE) principles and production systems support. Experience driving innovation, technical transformation, and improvements in ways of working. What's on Offer Competitive More ❯

experience leading small technical teams , including mentoring and delivery oversight. Strong communication and stakeholder management skills across technical and non-technical audiences. Desirable Experience with multi-cloud environments (AWS, Azure, hybrid). Familiarity with site reliability engineering (SRE) principles and production systems support. Experience driving innovation, technical transformation, and improvements in ways of working. What's on Offer Competitive More ❯

Flask, or FastAPI) PostgreSQL Experience with building and scaling SaaS platforms in production. Strong background in software architecture, microservices, and API design. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Excellent communication skills, capable of motivating and aligning technical teams. Desirable: Experience with AI tools, APIs, ML pipelines, containerisation (Docker/Kubernetes), event-driven architecture (Kafka More ❯

MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem More ❯

MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem More ❯

record of delivering innovative technology solutions. Strong programming skills in Python, C#, or similar languages. Experience with CI/CD pipelines, containerisation (Docker/Kubernetes) Familiarity with cloud platforms (Azure, AWS, or GCP) Understanding of data engineering principles, including ETL, data pipelines, and database management. Working knowledge of ML/AI concepts and technologies, including model deployment and monitoring. More ❯

MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem More ❯

MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem More ❯

MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem More ❯

development. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with cloud platforms (AWS, GCP, or Azure). Experience with containerization tools (Docker, Kubernetes is a plus). Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Bachelor's degree in Computer More ❯

in areas of application platform development, web and mobile development, cloud, integration, security, etc. " Application dev experience with at least one of the cloud providers - Amazon AWS or MS Azure " Understanding of distributed computing paradigm and exposure to building highly scalable systems. " Experience with platform modernization and cloud migration projects " Expertise in Agile development methodologies like TDD, BDD, Performance More ❯