151 to 175 of 3,363 Azure Jobs in the UK excluding London

Build automated test scripts using Ansible, Terraform, Python, or Bash to validate infrastructure deployments. Integrate & Enhance: Embed automated testing within CI/CD pipelines using Jenkins, GitLab CI, or Azure DevOps. Monitor & Diagnose: Analyse logs and telemetry via Prometheus, Grafana, or ELK to detect anomalies and inform continuous improvement. Collaborate & Document: Work with platform engineers and SREs to define … or virtualisation). Strong Linux/Unix skills and proficiency in shell scripting. Hands-on experience with IaC and automation tools (Terraform, Ansible, or Puppet). Familiarity with AWS, Azure, or GCP environments. Exposure to container technologies (Docker, Kubernetes). Understanding of network protocols, firewall configurations, and security best practices. Together, as owners, let's turn meaningful insights into 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 ❯

practices and Agile methodologies. Excellent problem-solving, communication, and team collaboration skills. Nice to Have: Experience with PostgreSQL or other relational databases. Exposure to cloud platforms such as AWS, Azure, or GCP. Background in government or highly regulated sectors is a plus. 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 ❯

Hands-on experience with any DB (preferably Oracle), including ability to read/understand/alter stored procedures. Strong experience in BDD with Cucumber or similar framework. Experience in Azure DevOps, integrating automated testing into a CI/CD pipeline using Jenkins or GitLab runner. Good knowledge in GCP Storage Buckets, BigQuery, Dataflow and Cloud Functions (any Cloud). 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 ❯

Java ● Experience with version control and code review tools such as Git ● Knowledge of latest data pipeline orchestration tools such as Airflow ● Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (e.g., Docker, Terraform, CloudFormation). ● Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo).[3] ● Experience with BI More ❯

Java ● Experience with version control and code review tools such as Git ● Knowledge of latest data pipeline orchestration tools such as Airflow ● Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (e.g., Docker, Terraform, CloudFormation). ● Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo).[3] ● Experience with BI 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 ❯

hours occasionally when required. Desirable Qualifications & Experience: Degree (or equivalent) in software engineering, systems engineering, or related field. Experience designing solutions to meet client requirements. Cloud platform accreditation (AWS, Azure) in DevOps or administration. CREST certification or equivalent security qualification. Chartered IT Professional status or equivalent. Hands-on experience with UI/UX design and implementation. Security Clearance: Due More ❯

MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). More ❯

MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). More ❯

MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). More ❯

Vault, Consul etc..) • Continuous Integration practices and Continuous Deployment/Delivery • Containers – Docker, Kubernetes etc. • Configuration Management – Ansible, Chef, Puppet etc. • Cloud – AWS preferred; multi clould experience ie with Azure, GCP etc. highly desirable • Monitoring – ELK, Prometheus, Splunk, Grafana, etc. • Experience in one of the following scripting language: Java, Bash, Python, Powershell, Golang, etc. • Experience working with Linux and More ❯

very welcome. API & Web Services - REST/RESTFul, SOAP, XML, JSON Cloud Platform proficiency - Knowing how to deploy, manage, and integrate services across cloud platforms is vital in either Azure, AWS, and/or more modern and agile iPaaS solutions such as Workato, Celigo, SnapLogic, Jitterbit or similar). Strong mental agility, problem-solving skills, and the ability to More ❯

very welcome. API & Web Services - REST/RESTFul, SOAP, XML, JSON Cloud Platform proficiency - Knowing how to deploy, manage, and integrate services across cloud platforms is vital in either Azure, AWS, and/or more modern and agile iPaaS solutions such as Workato, Celigo, SnapLogic, Jitterbit or similar). Strong mental agility, problem-solving skills, and the ability to More ❯