101 to 125 of 743 Docker Jobs in the UK excluding London

a key role in designing and building modern applications that touch millions of lives. You'll: Design, develop, test, and deploy backend services. Build and deploy containerized applications with Docker and Kubernetes. Apply Domain-Driven Design (DDD) and Test-Driven Development (TDD) principles. Collaborate closely with Product Owners, Architects, and Quality Engineers. Integrate with internal systems and third-party APIs More ❯

frameworks. • Comfortable writing efficient SQL and debugging on cloud warehouses like Databricks SQL or Snowflake. • Experience with cloud infrastructure like AWS or Azure. • Experience with Linux and containerisation (e.g Docker, shell scripting). • Understanding Data modelling and Data Cataloguing principles. • Understanding of Data Management principles (security and data privacy) and how they can be applied to Data Engineering processes/ More ❯

direction, and deliver outcomes with autonomy. Desirable Skills Experience with Vue.js or similar modern JavaScript frameworks. Familiarity with Bootstrap , Tailwind , or responsive UI principles. Knowledge of automated testing, containerisation (Docker), or cloud hosting environments. Interest in infrastructure management, DevOps, or continuous improvement initiatives. Project Better Energy commitment: We are committed to fostering a workplace where diversity is celebrated, equity is More ❯

Familiarity with leading AI/ML platforms and libraries Experience building and scheduling ETL workflows. Knowledge of spatial data management and geospatial queries. Experience with containerised application development (e.g. Docker). Experience in a consultancy environment, with the ability to embed within multidisciplinary teams, engage stakeholders, and deliver workflow optimisation Experience designing mobile friendly React applications and deploying them through More ❯

building, and code version control. Skilled in data pipeline creation and working with both structured and unstructured data. Familiar with cloud platforms (AWS, Azure, GCP) and containerization technologies like Docker and Kubernetes. Excellent problem-solving skills, combined with the ability to communicate complex technical concepts clearly to non-technical stakeholders. Ability to mentor and lead a team of data scientists More ❯

including the OWASP Top 10. Proven and demonstrable understanding of testing methodologies and frameworks. Commercial experience with AWS and IaC (Terraform/CDK/CloudFormation) Commercial experience with Linux, Docker, Docker Compose, Git and DynamoDB. About Us We offer a rewarding working environment within a collaborative, supportive and inclusive team, where your contribution is valued, and where you feel empowered More ❯

technical leadership, mentor engineers, and ensure delivery excellence across projects. Key Skills & Experience Essential: Strong background with Windows and Linux operating systems Virtualisation (VMware, Hyper-V) and containerisation (Kubernetes, Docker) Solid understanding of networking (TCP/IP, DNS, DHCP, firewalls) Automation & Scripting (PowerShell, Bash, Python, Ansible, Terraform) Knowledge of cyber security controls and accreditation frameworks Experience across the systems engineering 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 ❯

and Azure Pipelines Manage and optimise Azure environments for security, cost, and performance Refine CI/CD pipelines to enable fast, reliable releases Implement cloud-native deployments with Kubernetes , Docker , and Helm Collaborate with developers to remove delivery bottlenecks Enhance monitoring, logging, and observability Support cloud security & ISO compliance best practices Key skills: Proven experience in DevOps engineering with automated More ❯

and agile delivery practices Strong problem-solving and communication skills Nice-to-Have Knowledge of HL7/FHIR or other healthcare data standards Experience with serverless architectures or containerisation (Docker, AKS, etc.) Familiarity with Terraform or other IaC tooling Interest in improving public sector tech capability Apply now or email More ❯

and ArgoCD for CI/CD pipelines, Debug and troubleshoot containerised deployments. Experience with GraphQL for data query and manipulation for APIs. Infrastructure-as-code : Experience with in Terraform, Docker for config and debugging. Cloud Platforms : Proficiency in AWS for deploying, debugging and monitoring web services. Experience with AWS RDS (mySql) for storing configuration information for core calculation logic. Financial More ❯

solutions Familiarity with CI/CD pipelines , unit testing, and automated deployments A collaborative, problem-solving mindset and willingness to help build a new team Desirable Experience with containerisation (Docker, Kubernetes) Knowledge of front-end frameworks (React, Angular, or Blazor) Agile experience and familiarity with Scrum/Kanban methodologies What's on offer Competitive salary/daily rate depending on More ❯

CD pipelines. Strong communication and teamwork skills. A passion for quality, problem-solving, and continuous learning. Desirable: Experience with cloud platforms such as Azure or AWS. Familiarity with containerization (Docker, Kubernetes). Understanding of distributed systems and high-availability architectures. Experience with Agile methodologies (Scrum, Kanban). More ❯

an Agile environment Proficiency with Python, Java or Scala, plus SQL and NoSQL databases Experience with SQL Server/SSRS Cloud experience (AWS, Azure or GCP) and familiarity with Docker/Kubernetes Strong problem-solving skills, attention to detail, and a quality-driven mindset Experience with CI/CD pipelines and writing complex queries Excellent communication and collaboration in fast More ❯

/CD pipelines (GitHub Actions, Azure DevOps) Experience with automated testing tools such as Selenium or Playwright Cloud platforms such as Azure & AWS Familiarity with containerisation technologies such as Docker SaaS Industry Experience Benefits: Competitive Base Salary Hybrid Working Private Healthcare Life Assurance 33 Days Holiday plus bank holidays 37.5 Hour work weeks - flexi-hours This is a great opportunity 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 ❯

dialects, including MySQL, MSSQL, PostgreSQL Familiarity with Redis, ElasticSearch and REST APIs Experience with Windows-based development: services, scheduled tasks, web servers (e.g. IIS) Experience with containers such as Docker or Kubernetes and Cloud platforms: AWS (preferred), Azure, or GCP Prior experience building middleware for data sync, order processing, and internal APIs in a multi-system e-commerce environment would More ❯

Proficiency with PowerShell, Azure CLI, and/or Python scripting. Solid understanding of DevOps principles, tools, and CI/CD pipelines using Azure DevOps, Git, and GitHub. Experience with Docker and Kubernetes containerization and orchestration. Familiarity with monitoring and observability tools: Azure Monitor, Log Analytics, Application Insights. Knowledge of identity, access management, governance, and compliance in Azure. Strong troubleshooting and More ❯

data lake table formats such as Delta Lake, Iceberg, or Hudi. Background in stream processing (Kafka, Flink, or similar ecosystems). Exposure to containerisation and orchestration technologies such as Docker and Kubernetes. More ❯

or in a similar role. Proven experience with Azure cloud platforms and related architecture. Highly skilled in Python for data engineering, scripting, and automation. Strong working knowledge of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience with PostgreSQL and familiarity with lakehouse technologies (e.g. Apache Parquet, Delta Tables More ❯

keep DBT services resilient and reliable. - Mentor junior engineers and contribute to the growth of the SRE function. Technologies you will work with include AWS, Azure, Terraform/CloudFormation, Docker, ECS, ECR, ElasticSearch, Python/Django, PostgreSQL (RDS), Redis, and more. Essential Criteria - Cloud experience with AWS, Azure or Google Cloud. - Ability to build reliable, well-tested infrastructure as code More ❯

software development lifecycle (SDLC) Ability to define comprehensive test plans and strategies Experience in both functional and non-functional testing Development and maintenance of automated test suites Experience with Docker and containerisation Expert in TDD and BDD Strong understanding of microservice architecture and API principles Experience with AWS and Infrastructure-as-Code (desirable: Terraform ) Experience building and maintaining CI/ More ❯

PHP development experience, including strong knowledge of Laravel. Strong understanding of object-oriented programming, design patterns, and application architecture. Proficiency with MySQL and SQL Server. Hands-on experience with Docker and containerised development environments. Proven experience in API development and third-party integrations. Strong understanding of testing practices and CI/CD workflows using Git. Excellent problem-solving, debugging, and More ❯

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 and data visualization tools (e.g., Looker, Tableau, Power More ❯

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 and data visualization tools (e.g., Looker, Tableau, Power More ❯