6 of 6 Docker Jobs in Merseyside

Have (But Not Required): University or personal project experience with cloud tools or services Exposure to Infrastructure-as-Code tools like Terraform or ARM templates Familiarity with containers (e.g., Docker, Kubernetes) Knowledge of CI/CD principles or version control systems like Git Completion of a cloud-related course or certification (e.g. AWS Academy, Azure Fundamentals) What You’ll Gain More ❯

to 2 days per week in Liverpool. Experience Requirements : Cloud Platforms: Proven experience with AWS and Azure. Infrastructure as Code: Advanced proficiency with Terraform. Containerisation & Orchestration: Deep understanding of Docker and Kubernetes (ECS/EKS). Continuous Integration/Delivery: Skilled in managing CI/CD pipelines using Jenkins and GitHub Actions. Programming: Working knowledge of Go, Python, and JavaScript More ❯

for Full Stack Software Engineer : - 3+ years of full stack development experience Strong Java unit testing (with a side of TDD), Maven, Git and a sense of humor. Kubernetes & Docker Working in a team development environment Thorough understanding of Computer Science fundamentals such as Data Structures, Algorithms and Design Patterns Amazon Web Services, Azure, or Google Cloud Platform Desirable Kafka More ❯

Terraform and ARM templates • Configure and maintain monitoring, logging, and alerting solutions for applications and infrastructure • Automate deployment processes across development, staging, and production environments • Manage containerized applications using Docker and Kubernetes orchestration • Implement security scanning and compliance checks within deployment pipelines • Collaborate with development teams to optimize application performance and reliability • Maintain and improve backup, recovery, and disaster recovery … like from you • Strong experience with CI/CD pipeline design and implementation (Azure DevOps, GitHub Actions) • Proficiency in Infrastructure as Code tools, particularly Terraform • Experience with containerization technologies (Docker) and orchestration platforms (Kubernetes) • Strong knowledge of Azure cloud services and deployment models • Experience with monitoring and logging tools (Azure Monitor, Prometheus, Grafana stack) • Proficiency in scripting languages (PowerShell, Bash More ❯

Terraform and ARM templates • Configure and maintain monitoring, logging, and alerting solutions for applications and infrastructure • Automate deployment processes across development, staging, and production environments • Manage containerized applications using Docker and Kubernetes orchestration • Implement security scanning and compliance checks within deployment pipelines • Collaborate with development teams to optimize application performance and reliability • Maintain and improve backup, recovery, and disaster recovery … like from you • Strong experience with CI/CD pipeline design and implementation (Azure DevOps, GitHub Actions) • Proficiency in Infrastructure as Code tools, particularly Terraform • Experience with containerization technologies (Docker) and orchestration platforms (Kubernetes) • Strong knowledge of Azure cloud services and deployment models • Experience with monitoring and logging tools (Azure Monitor, Prometheus, Grafana stack) • Proficiency in scripting languages (PowerShell, Bash More ❯

improve model performance Model Evaluation : Learn to test models for accuracy, robustness, and fairness using best practices Deployment : Help package and deploy ML models into production using tools like Docker, APIs, or cloud platforms Collaboration : Work closely with software engineers, data scientists, and product teams to integrate ML into real products and services Experimentation : Participate in testing new algorithms, researching … or Azure) Knowledge of software engineering best practices, version control (Git), or CI/CD pipelines Understanding of deep learning, NLP, or computer vision Familiarity with deployment tools like Docker or MLflow What You’ll Gain Hands-on Experience : Work on real ML systems and contribute to production-grade solutions Mentorship & Training : Learn from senior ML engineers and participate in More ❯