26 to 50 of 130 Kubernetes Jobs in the East Midlands

services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs, and microservice integrations supporting AI features. Excellent problem-solving, communication, and cross-team collaboration skills. Proven ability ...

services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs, and microservice integrations supporting AI features. Excellent problem-solving, communication, and cross-team collaboration skills. Proven ability ...

deployments. Expertise with version control systems (GitHub, GitLab, Azure Repos) and CI/CD tools and practices. Advanced knowledge of containerization and orchestration (Docker, Kubernetes, AKS) with production experience. Expert-level understanding of infrastructure as code (IaC) principles and tools (Terraform, Azure Resource Manager). Strong expertise in cloud security ...

deployments. Expertise with version control systems (GitHub, GitLab, Azure Repos) and CI/CD tools and practices. Advanced knowledge of containerization and orchestration (Docker, Kubernetes, AKS) with production experience. Expert-level understanding of infrastructure as code (IaC) principles and tools (Terraform, Azure Resource Manager). Strong expertise in cloud security ...

deployments. Expertise with version control systems (GitHub, GitLab, Azure Repos) and CI/CD tools and practices. Advanced knowledge of containerization and orchestration (Docker, Kubernetes, AKS) with production experience. Expert-level understanding of infrastructure as code (IaC) principles and tools (Terraform, Azure Resource Manager). Strong expertise in cloud security ...

deployments. Expertise with version control systems (GitHub, GitLab, Azure Repos) and CI/CD tools and practices. Advanced knowledge of containerization and orchestration (Docker, Kubernetes, AKS) with production experience. Expert-level understanding of infrastructure as code (IaC) principles and tools (Terraform, Azure Resource Manager). Strong expertise in cloud security ...

deployments. Expertise with version control systems (GitHub, GitLab, Azure Repos) and CI/CD tools and practices. Advanced knowledge of containerization and orchestration (Docker, Kubernetes, AKS) with production experience. Expert-level understanding of infrastructure as code (IaC) principles and tools (Terraform, Azure Resource Manager). Strong expertise in cloud security ...

deployments. Expertise with version control systems (GitHub, GitLab, Azure Repos) and CI/CD tools and practices. Advanced knowledge of containerization and orchestration (Docker, Kubernetes, AKS) with production experience. Expert-level understanding of infrastructure as code (IaC) principles and tools (Terraform, Azure Resource Manager). Strong expertise in cloud security ...

Angular or React Mobile app development (iOS/Android) Cloud hosting experience (AWS or Azure) API/Microservices architecture NoSQL databases (MongoDB, MongoDB Atlas) Kubernetes and Docker containerisation Agile development methodology Personal Attributes Eager to learn and adopt new technologies Strong team player with the ability to work independently Excellent ...

Angular or React Mobile app development (iOS/Android) Cloud hosting experience (AWS or Azure) API/Microservices architecture NoSQL databases (MongoDB, MongoDB Atlas) Kubernetes and Docker containerisation Agile development methodology Personal Attributes Eager to learn and adopt new technologies Strong team player with the ability to work independently Excellent ...

Stack You'll Work With (Core technologies referenced from the JD) Azure Cloud , Azure DevOps (Boards, Repos, Artifacts, CI/CD) Terraform (IaC) Docker, Kubernetes, Helm, Docker Compose Git, PowerShell, Bash .NET Framework/.NET Core, C#, Node.js, React SQL Server/NoSQL Windows & Linux servers Microservices, DevSecOps tooling (SonarCloud ...

Stack You’ll Work With (Core technologies referenced from the JD) Azure Cloud , Azure DevOps (Boards, Repos, Artifacts, CI/CD) Terraform (IaC) Docker, Kubernetes, Helm, Docker Compose Git, PowerShell, Bash .NET Framework/.NET Core, C#, Node.js, React SQL Server/NoSQL Windows & Linux servers Microservices, DevSecOps tooling (SonarCloud ...

time detection (packet/flow analytics). Background in resilience engineering, chaos testing, disaster recovery, and capacity planning at hyperscale. Containerization/orchestration (e.g., Kubernetes) and secure service-to-service communication (mTLS, policy enforcement). Familiarity with zero trust, segmentation, and modern security architectures; exposure to compliance frameworks and audit ...

time detection (packet/flow analytics). Background in resilience engineering, chaos testing, disaster recovery, and capacity planning at hyperscale. Containerization/orchestration (e.g., Kubernetes) and secure service-to-service communication (mTLS, policy enforcement). Familiarity with zero trust, segmentation, and modern security architectures; exposure to compliance frameworks and audit ...

time detection (packet/flow analytics). Background in resilience engineering, chaos testing, disaster recovery, and capacity planning at hyperscale. Containerization/orchestration (e.g., Kubernetes) and secure service-to-service communication (mTLS, policy enforcement). Familiarity with zero trust, segmentation, and modern security architectures; exposure to compliance frameworks and audit ...

time detection (packet/flow analytics). Background in resilience engineering, chaos testing, disaster recovery, and capacity planning at hyperscale. Containerization/orchestration (e.g., Kubernetes) and secure service-to-service communication (mTLS, policy enforcement). Familiarity with zero trust, segmentation, and modern security architectures; exposure to compliance frameworks and audit ...

time detection (packet/flow analytics). Background in resilience engineering, chaos testing, disaster recovery, and capacity planning at hyperscale. Containerization/orchestration (e.g., Kubernetes) and secure service-to-service communication (mTLS, policy enforcement). Familiarity with zero trust, segmentation, and modern security architectures; exposure to compliance frameworks and audit ...

leader. Professional technical experience; familiarity with Agile methodology. Strong knowledge of cloud services, CI/CD pipelines, and secure coding practices. Experience with AWS, Kubernetes, Docker, GitLab, and security scanning tools. Python, Shell, or Bash scripting skills. If you don't have all the above criteria don't worry ...

leader. Professional technical experience; familiarity with Agile methodology. Strong knowledge of cloud services, CI/CD pipelines, and secure coding practices. Experience with AWS, Kubernetes, Docker, GitLab, and security scanning tools. Python, Shell, or Bash scripting skills. If you don't have all the above criteria don't worry ...

leader. Professional technical experience; familiarity with Agile methodology. Strong knowledge of cloud services, CI/CD pipelines, and secure coding practices. Experience with AWS, Kubernetes, Docker, GitLab, and security scanning tools. Python, Shell, or Bash scripting skills. If you don’t have all the above criteria don’t worry ...

monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists, Product Managers, Software Engineers, and Analysts. ...

monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists, Product Managers, Software Engineers, and Analysts. ...

monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists, Product Managers, Software Engineers, and Analysts. ...

monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists, Product Managers, Software Engineers, and Analysts. ...

monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists, Product Managers, Software Engineers, and Analysts. ...