51 to 75 of 215 Containerisation Jobs in the South West

/or NoSQL databases. Solid understanding of software development principles, design patterns, and agile methodologies. Experience with Python is a significant advantage. Familiarity with containerization technologies (e.g., Docker, Kubernetes). Experience with CI/CD pipelines. Please send me your CV for more information on these roles. Reasonable Adjustments: Respect ...

Automate model training, testing, deployment, and 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 ...

Automate model training, testing, deployment, and 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 ...

Automate model training, testing, deployment, and 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 ...

Automate model training, testing, deployment, and 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 ...

pipelines for near-real-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 ...

pipelines for near-real-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 ...

pipelines for near-real-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 ...

pipelines for near-real-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 ...

pipelines for near-real-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 ...

pipelines for near-real-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 ...

pipelines for near-real-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 ...

pipelines for near-real-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 ...

expertise required: DevSecOps environments - 'Zero Trust' Architecture Deploying & operating infrastructure/applications on AWS CI/CD & IaC - Terraform/Ansible Cloud orchestration & containerisation - Kubernetes/Docker Role Responsibilities: Lead the development and implementation of secure cloud environments. Build automated deployments using configuration management technology. Test, deploy & build cloud-based ...

expertise required: DevSecOps environments - 'Zero Trust' Architecture Deploying & operating infrastructure/applications on AWS CI/CD & IaC - Terraform/Ansible Cloud orchestration & containerisation - Kubernetes/Docker Role Responsibilities: Lead the development and implementation of secure cloud environments. Build automated deployments using configuration management technology. Test, deploy & build cloud-based ...

experience in a DevOps Engineer role using Azure OR AWS, (EC2, RDS, S3, VPC, CloudFormation) Experience with IaC such as Terraform. A background in containerisation and orchestration technologies such as Docker and Kubernetes. Knowledge with CI/CID pipelines and tools. Experience with monitoring and observability tools, including Grafana, Prometheus ...

graphics, user experience, and cross-platform development. Familiarity with tools such as Git and Jira. Exposure to or curiosity about modern DevOps practices (e.g. containerisation, cloud, CI/CD). A passion for software quality and maintainability. A growth mindset – open to learning new languages, platforms, and techniques. Strong communication ...

near-real-time detection (e.g., high-rate packet/flow analytics). Background in resilience engineering, chaos testing, and capacity planning at hyperscale. Containerization/orchestration experience and secure service-to-service communication (mTLS, policy). Familiarity with zero trust principles, segmentation, and modern security architectures. How you'll have ...

near-real-time detection (e.g., high-rate packet/flow analytics). Background in resilience engineering, chaos testing, and capacity planning at hyperscale. Containerization/orchestration experience and secure service-to-service communication (mTLS, policy). Familiarity with zero trust principles, segmentation, and modern security architectures. How you'll have ...

near-real-time detection (e.g., high-rate packet/flow analytics). Background in resilience engineering, chaos testing, and capacity planning at hyperscale. Containerization/orchestration experience and secure service-to-service communication (mTLS, policy). Familiarity with zero trust principles, segmentation, and modern security architectures. How you'll have ...

near-real-time detection (e.g., high-rate packet/flow analytics). Background in resilience engineering, chaos testing, and capacity planning at hyperscale. Containerization/orchestration experience and secure service-to-service communication (mTLS, policy). Familiarity with zero trust principles, segmentation, and modern security architectures. How you'll have ...

near-real-time detection (e.g., high-rate packet/flow analytics). Background in resilience engineering, chaos testing, and capacity planning at hyperscale. Containerization/orchestration experience and secure service-to-service communication (mTLS, policy). Familiarity with zero trust principles, segmentation, and modern security architectures. How you'll have ...

near-real-time detection (e.g., high-rate packet/flow analytics). Background in resilience engineering, chaos testing, and capacity planning at hyperscale. Containerization/orchestration experience and secure service-to-service communication (mTLS, policy). Familiarity with zero trust principles, segmentation, and modern security architectures. How you'll have ...

near-real-time detection (e.g., high-rate packet/flow analytics). Background in resilience engineering, chaos testing, and capacity planning at hyperscale. Containerization/orchestration experience and secure service-to-service communication (mTLS, policy). Familiarity with zero trust principles, segmentation, and modern security architectures. How you'll have ...

Version Control Systems: In-depth knowledge of version control systems like Git, including branching strategies, repository management, and integrating with CI/CD pipelines • Containerization and Orchestration: Experience with containerization tools such as Docker and orchestration platforms like Kubernetes or Docker Swarm. Understanding of containerized environments and their integration into ...