176 to 200 of 682 Docker Jobs in England

Python/PowerShell). Client-facing experience, able to translate business needs into technical solutions. SC-level UK Government clearance (or ability to obtain). Nice-to-haves: Containerisation (Docker/Kubernetes), cloud cost optimisation (FinOps), cloud security frameworks, and Cloudflare developer platform experience. Certifications: Cloudflare Certified, Microsoft Azure (AZ-104/AZ-305), AWS Solutions Architect. Why this role More ❯

network engineering (routing, switching, firewalls, VPNs). Experience with cloud platforms (AWS/Azure) in secure environments. Proficiency in DevOps tools (Terraform, Ansible, Jenkins, GitLab CI/CD, Kubernetes, Docker). Scripting knowledge (e.g. Python, Bash, PowerShell). Previous experience in defence, government, or secure environments. Desirable Skills Industry-recognised network certifications (e.g. CCNA, CCNP, JNCIP, CompTIA Network+). Exposure More ❯

release pipelines. Cloud experience, particularly Microsoft Azure . Agile delivery (Scrum, Kanban). Strong knowledge of software design principles and patterns. Familiarity with deployment and automation tools (e.g., Jenkins, Docker, Git). Solid grounding in Computer Science fundamentals (data structures, algorithms, system design) If you are interested and keen to find out more, please apply now with your updated CV More ❯

in JavaScript development (Node.js, React/NextJS). Expertise in cloud computing (Google Cloud Platform preferred). Nice-to-Haves Knowledge of event-driven microservices , CI/CD pipelines, Docker, and Kubernetes (Google GKE preferred). Familiarity with GitOps principles . Experience with Infrastructure-as-Code tools , particularly Terraform. A background in project management is a bonus. With new offices More ❯

through CI/CD, Infrastructure as Code, and cloud cost management. Key Skills & Experience: - Strong AWS background with cloud security expertise (IAM, VPC, encryption, etc.) - Deep knowledge of Kubernetes, Docker, Kafka, and Java backend systems. - Experience with CI/CD, Terraform/CloudFormation, and automated deployments. - Familiarity with industry standards such as GDPR, HIPAA, and ISO 27001 is a plus. More ❯

/C++ or C# (ASP.Net Core). Writing Python-based asynchronous microservices, web APIs, and working with image recognition. Implementing C++ algorithms and firmware Using MQTT Containerising services with Docker Contributing to project delivery via Azure DevOps and CI/CD. The Candidate We are looking for a Software Engineer with: Proven programming experience in one or more of the More ❯

the full Spring ecosystem (Spring Boot, Spring Cloud, Spring Data, Spring Cloud Stream) Kafka, MongoDB, ElasticSearch, and Redis AWS cloud services including Lambda, Step Functions, and general serverless architecture Docker and Kubernetes in modern DevOps environments Test-driven development (TDD) and clean architecture principles (DDD) You'll also contribute to architecture discussions, peer reviews, and technical presentations within the team. More ❯

the full Spring ecosystem (Spring Boot, Spring Cloud, Spring Data, Spring Cloud Stream) Kafka, MongoDB, ElasticSearch, and Redis AWS cloud services including Lambda, Step Functions, and general serverless architecture Docker and Kubernetes in modern DevOps environments Test-driven development (TDD) and clean architecture principles (DDD) You'll also contribute to architecture discussions, peer reviews, and technical presentations within the team. More ❯

and REST APIs that form the core platform e.g. payments. You'll be using C# .Net core through to TypeScript and Vue.js within an AWS cloud based environment with Docker, Terraform (IaC), TeamCity, SQL and Redis; you'll gain exposure to a wide range of technology and will be able to input into technical discussions within a collaborative Agile team. More ❯

Pub/Sub). Proficiency in relational databases (RDBMS), particularly with Postgres. Familiarity with NoSQL databases (document store/key-value store) is a plus. Experience with containerization technologies (Docker, Kubernetes). Hands-on experience with Google Cloud Platform (GCP) and configuration management (ideally using Terraform). Familiarity with Google Cloud Build for CI/CD actions, deployments, and builds. More ❯

Continuous Integration/Continuous Delivery REST API development and/or consumption. Desirable skills/experience you may have Experience with Cloud Platforms such as AWS, GCP or Azure Docker, Kubernetes Jenkins, Gitlab CI. Additional Information: The application form consists of an online assessment, CV upload, followed by application questions. Please visit - jlpjobs.com/how-to-apply/journey/ More ❯

will have a deep technical foundation in the Microsoft stack, including the .NET framework (versions 4.8 and 8), SQL Server, and service-oriented architectures. Familiarity with microservices, REST APIs, Docker, Redis, and cloud platforms (such as AWS or Azure) is essential. You'll also be comfortable working in a DevOps-driven culture, using CI/CD tools like Jenkins or More ❯

science * Strong Python development skills * Practical experience with machine learning or deep learning in scientific/engineering contexts * Familiarity with MLOps tools and practices (Airflow, MLflow) and containerisation (e.g., Docker) * Passion for working with real-world datasets and data visualisation * Interest in material discovery, computer vision, big data, and optimisation techniques * Excellent communication and collaboration skills * Problem-solving mindset and More ❯

Strong familiarity with Agile/Scrum methodologies Experience writing automated tests (PHP Unit/PEST) Working knowledge of CI/CD pipelines (GitLab CI, GitHub Actions, etc.) Experience with Docker and containerised development environments Exposure to modern JavaScript frameworks (Vue.js, React, or similar) Benefits: A supportive, close-knit development team with a culture of mentorship and learning Opportunities to lead More ❯

adaptability Leadership experience with strong communication skills Structured approach to quantitative challenges Comfort working in a dynamic startup environment Qualifications Microsoft Azure experience, particularly R integration Application containerization knowledge (Docker, etc.) Familiarity with Python, JavaScript, C++, bash, or other languages Web application development experience (React, .NET) Background in data security and IP protection workflows Knowledge of environmental sustainability concepts (carbon More ❯

on serverless platforms like Google App Engine . Streaming Data: Practical experience building real-time data pipelines. DevOps & MLOps: Knowledge of Infrastructure as Code (Terraform), MLOps principles, and containerization (Docker, Kubernetes). What They Offer Work that impacts elite football performance and club-wide success Access to real-world sports data and performance analytics Flexible working options (hybrid/remote More ❯

adaptability Leadership experience with strong communication skills Structured approach to quantitative challenges Comfort working in a dynamic startup environment Qualifications Microsoft Azure experience, particularly R integration Application containerization knowledge (Docker, etc.) Familiarity with Python, JavaScript, C++, bash, or other languages Web application development experience (React, .NET) Background in data security and IP protection workflows Knowledge of environmental sustainability concepts (carbon More ❯

or above) Strong hands-on experience with AWS/Azure and SaaS platforms Solid Linux & Windows system administration experience Proficiency in Infrastructure as Code : Terraform and Ansible Experience with Docker and Kubernetes A strong focus on automation-first DevOps practices Extremely strong written and verbal skills More ❯

player Experience working with SaaS platforms or automation tools is a plus. Comfortable working in agile environments (Scrum or Kanban). Experience with microservices, event-driven systems, and containerisation (Docker, Kubernetes) - DESIRABLE Background in product management or user-centred design - DESIRABLE Familiarity with performance optimisation and data modelling - DESIRABLE What you'd be doing: Develop backend services and components using More ❯

player Experience working with SaaS platforms or automation tools is a plus. Comfortable working in agile environments (Scrum or Kanban). Experience with microservices, event-driven systems, and containerisation (Docker, Kubernetes) - DESIRABLE Background in product management or user-centred design - DESIRABLE Familiarity with performance optimisation and data modelling - DESIRABLE What you'd be doing: Develop backend services and components using More ❯

player Experience working with SaaS platforms or automation tools is a plus. Comfortable working in agile environments (Scrum or Kanban). Experience with microservices, event-driven systems, and containerisation (Docker, Kubernetes) - DESIRABLE Background in product management or user-centred design - DESIRABLE Familiarity with performance optimisation and data modelling - DESIRABLE What you'd be doing: Develop backend services and components using More ❯

similar ML tools and packages Familiarity with deploying and scaling ML models in the cloud, particularly with AWS and SageMaker Understanding of DevOps processes and tools: CI/CD, Docker, Terraform, and monitoring/observability Bonus: experience with vector databases, semantic search, or event-driven systems like Kafka Additional Information Were a community here that cares as much about your More ❯

sensitive data, ensuring data privacy, encryption, and access control in accordance with regulatory standards. Familiarity with data anonymization and masking techniques for handling sensitive datasets. Proficiency in containerization using Docker for packaging and deploying data applications in local and cloud environments. Experience writing unit tests and integrating data pipelines into CI/CD workflows using AWS CodeBuild, CodePipeline, and GitHub More ❯

sensitive data, ensuring data privacy, encryption, and access control in accordance with regulatory standards. Familiarity with data anonymization and masking techniques for handling sensitive datasets. Proficiency in containerization using Docker for packaging and deploying data applications in local and cloud environments. Experience writing unit tests and integrating data pipelines into CI/CD workflows using AWS CodeBuild, CodePipeline, and GitHub More ❯

sensitive data, ensuring data privacy, encryption, and access control in accordance with regulatory standards. Familiarity with data anonymization and masking techniques for handling sensitive datasets. Proficiency in containerization using Docker for packaging and deploying data applications in local and cloud environments. Experience writing unit tests and integrating data pipelines into CI/CD workflows using AWS CodeBuild, CodePipeline, and GitHub More ❯