451 to 475 of 807 Docker Jobs in the UK excluding London

Engineer candidate will have deep experience in cloud platforms (Azure and/or AWS), infrastructure-as-code (Terraform/ARM), CI/CD pipelines, and containerisation tools such as Docker and Kubernetes. You'll also have a keen eye for automation, performance monitoring, and system reliability in a 24/7 environment. Experience in the online betting, gaming or high More ❯

Infrastructure Engineering Familiarity with IaC tools like Terraform Solid understanding of modern SDLC practices and secure coding Highly Advantageous: Experience with Generative AI tools (e.g., GitHub Copilot) Knowledge of Docker, Kubernetes, and cloud platforms like AWS or Azure Security best practices in a DevOps/cloud context Please click here to find out more about our Key Information Documents. Please More ❯

a strong understanding of SaaS and cloud deployment You have a good knowledge of IaC, they use Pulumi but terraform experience is fine You have experience with Kubernetes and Docker at scale and have a good understanding of modern microservices You have experience of leading technical projects and promoting best practices You have excellent written and verbal communication skills What More ❯

has experience in one or more of the following technologies but who is also open minded about learning new languages and tools: Java, Python, JavaScript, TypeScript Angular, React, Vue Docker, Kubernetes AWS, Azure MERN, Elasticsearch, Neo4J A competitive salary with an exciting array of projects to work on. Company Benefits that we offer from your first day are: 25 days More ❯

stack development skills (JavaScript, HTML, CSS/SCSS) Exposure to SQL , REST APIs , and Git workflows Strong communication skills and eagerness to learn Bonus if you've worked with Docker, CI/CD, or cloud platforms What You Will Get: Not just working on the same thing and an exciting opportunity to drive things forward Great culture of fostering and More ❯

dashboards, compare control vs. treatment, plan next experiment. Tech stack Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow)SQL (Redshift, Snowflake or similar)AWS SageMaker Azure ML migration, with Docker, Git, Terraform, Airflow/ADFOptional extras: Spark, Databricks, Kubernetes. What you'll bring 3-5+ years building optimisation or recommendation systems at scale. Strong grasp of mathematical optimisation (e.g. More ❯

learning (e.g., Vertex AI) Familiarity with data processing tools like Apache Beam/Dataflow Strong understanding of monitoring and maintaining models in production environments Experience with containerization tools (e.g., Docker) Problem-solving skills with the ability to troubleshoot model and pipeline issues Strong communication skills for cross-team collaboration Requirements Bachelor's degree in Computer Science, Data Science, or a More ❯

and EC2 Strong hands-on skills in Infrastructure-as-Code, especially with Terraform. Experience with Ansible for configuration management. Solid understanding of Linux systems - specifically Ubuntu Knowledge of containerisation (Docker, ECS, or EKS). Either some experience of, or an interest in, Python for automation, scripting and infrastructure tooling. So What's Next? If you are an experienced Cloud Infrastructure More ❯

You will be joining a culture that values autonomy, collaboration, and continuous learning! The Role Designing and evolving secure, scalable infrastructure primarily on AWS Managing EKS (Kubernetes) clusters and Docker container environments Building and maintaining CI/CD pipelines using Jenkins, GitHub Actions, and scripting in Groovy and Bash Supporting the development platform and automating workflows to accelerate engineering delivery More ❯

and EC2 Strong hands-on skills in Infrastructure-as-Code, especially with Terraform. Experience with Ansible for configuration management. Solid understanding of Linux systems - specifically Ubuntu Knowledge of containerisation (Docker, ECS, or EKS). Either some experience of, or an interest in, Python for automation, scripting and infrastructure tooling. So What's Next? If you are an experienced Cloud Infrastructure More ❯

learning, whether through past projects, research, or APIs. A passion for exploring and applying AI in practical business contexts. Familiarity with DevOps practices, cloud environments (especially Azure), and containerization (Docker). Solid understanding of version control, CI/CD, and web hosting environments. Nice to Have: Hands-on experience with ML frameworks (e.g., Hugging Face). Some expereince of C# More ❯

learning, whether through past projects, research, or APIs. A passion for exploring and applying AI in practical business contexts. Familiarity with DevOps practices, cloud environments (especially Azure), and containerization (Docker). Solid understanding of version control, CI/CD, and web hosting environments. Nice to Have: Hands-on experience with ML frameworks (e.g., Hugging Face). Exposure to graph databases More ❯

ability to mentor and uplift teammates technically Excellent problem-solving skills and the ability to work independently Bonus Experience Knowledge of AWS services (e.g., EC2, RDS, S3) Familiar with Docker/containerisation and orchestration Experience with test automation (PHPUnit, Pest) Understanding of microservices or event-driven architectures The Perks Flexible working: remote-first with optional hybrid collaboration 20 days holiday More ❯

and management Exposure to designing or building distributed systems, preferably in a cloud environment Company Tech Stack PHP, Laravel, ReactJS, TypeScript, Inertia, WordPress MySQL, Redis, ElasticSearch, DataDog, AWS, Terraform, Docker Benefits Hybrid working 1-2 days per week in the London office. Collaborate directly with the founding team and take ownership of product features. Be part of an international expansion More ❯

/ML engineering experience (or equivalent). Python expert with strong software engineering fundamentals. Experience with DevOps/ML Ops practices: CI/CD pipelines (e.g. GitHub Actions), containerisation (Docker), automated testing, and monitoring. Startup mindset: proactive, resourceful, ambitious, driven to innovate, eager to learn, and comfortable wearing multiple hats in a fast-moving environment. Desirable: hands-on experience with More ❯

Azure Terraform provider capabilities and limitations Experience integrating Terraform into CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) Understanding of ARM templates and resource management Containerisation and orchestration (Docker, Kubernetes) Knowledge of core services (Virtual Networks, VMs, Storage, App Services, etc.) Experience with Azure AD, RBAC, Key Vault, and security best practices Proficiency with Git workflows (branching, merging, pull More ❯

and EC2 Strong hands-on skills in Infrastructure-as-Code, especially with Terraform. Experience with Ansible for configuration management. Solid understanding of Linux systems - specifically Ubuntu Knowledge of containerisation (Docker, ECS, or EKS). Either some experience of, or an interest in, Python for automation, scripting andinfrastructure tooling. So What's Next? If you are an experienced Cloud Infrastructure Engineer More ❯

and is renumerated separately. Key areas we would love to see knowledge and understanding to discuss further would be: Virtualization - platforms such as Vmware/Redhat Openshift Kubernetes and Docker Configuration Management Systems Puppet/Ansible Linux Administration redhat family OS, including RHEL, Alma and some legacy CentOS Core internet applications protocols DHCP/DNS Monitoring Systems Icinga2/Elastic More ❯

and is renumerated separately. Key areas we would love to see knowledge and understanding to discuss further would be: Virtualization - platforms such as Vmware/Redhat Openshift Kubernetes and Docker Configuration Management Systems – Puppet/Ansible Linux Administration – redhat family OS, including RHEL, Alma and some legacy CentOS Core internet applications protocols – DHCP/DNS Monitoring Systems – Icinga2/Elastic More ❯

a similar role (SRE, Cloud infrastructure/DevOps) An understanding of the SDLC process Familiarity with configuration management tools (Ansible, Puppet) Infrastructure as Code (Terraform) Experience with container technologies (Docker or Podman) Experience with AWS services (VPC, Security Group, EC2, Route53, IAM, S3, AWS CLI) Familiarity with Continuous Integration Pipelines (GitLab CI, Travis CI, etc.) Proficiency in one or more More ❯

Unix commands, Korn shell scripting, and working with RedHat Linux environments Experience using Bitbucket and GitHub Enterprise for version control and collaboration Preferred to have experience/exposure to Docker/OpenShift based container deployment Familiarity with tools like Teamcity/Tekton & uDeploy/Harness for CI/CD automation Experience with SonarQube for code quality analysis and JUnit for More ❯

Collaborate closely with operations to ensure high availability and performance of applications Core Technologies: Python (Django, FastAPI, Flask), Node.js Relational and non-relational databases (e.g. SQL, MongoDB) Containerisation with Docker, Git, CI/CD pipelines Cloud orchestration tools such as Kubernetes and Terraform We are looking for someone with: Strong experience in production-level Python development A background in building More ❯

technology such as BigQuery Coding experience in any language Experience of line management & coaching junior engineers Familiarity with DevOps practices and tools, including CI/CD pipelines and containerisation (Docker, Kubernetes) Familiarity with data visualisation tools such as Tableau, Power BI, or Looker Relevant certifications in data engineering, cloud platforms, or related areas. About working for us Our focus is More ❯

technology such as BigQuery Coding experience in any language Experience of line management & coaching junior engineers Familiarity with DevOps practices and tools, including CI/CD pipelines and containerisation (Docker, Kubernetes) Familiarity with data visualisation tools such as Tableau, Power BI, or Looker Relevant certifications in data engineering, cloud platforms, or related areas. About working for us Our focus is More ❯

databases (bonus if using Entity Framework Core). Familiarity with Microsoft Dynamics CRM integration or case management systems. Understanding of Azure cloud infrastructure and deployment practices. Working knowledge of Docker and container-based development workflows. Comfortable debugging complex application issues in local and deployed environments. Experience creating and maintaining technical documentation for cross-functional use. Strong understanding of web accessibility More ❯