176 to 200 of 2,339 Docker Jobs in England

troubleshoot complex issues in AI/ML systems. Technical Insight Skills with MLOps concepts and principles. Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes). Proficiency in programming languages such as Python, experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), and experience with MLOps frameworks/tools (e.g. Sagemaker pipelines, Azure ML More ❯

Ansible, Terraform, CloudFormation, or ARM to provision and manage environments. • Solid experience with Linux and Windows Operating Systems, including scripting (e.g. Powershell, Bash). • Proficiency in Container Technologies like Docker and Kubernetes. • Knowledge of setting up and configuring CI/CD Pipelines and tools (e.g. Jenkins, Bitbucket, SonarQube). • Familiarity with Log Collection Technologies and Monitoring Platforms (e.g. ELK Stack More ❯

Design (DDD) . Extensive experience with AWS cloud ecosystem – services like EC2, S3, Lambda, SNS/SQS, API Gateway, RDS/DynamoDB, CloudFormation, etc. Familiarity with containerization and orchestration (Docker, Kubernetes, ECS/EKS). Strong system design and problem-solving skills. Proficiency in CI/CD tools and DevOps practices. Strong communication and stakeholder management skills. Experience in leading More ❯

Design (DDD) . Extensive experience with AWS cloud ecosystem – services like EC2, S3, Lambda, SNS/SQS, API Gateway, RDS/DynamoDB, CloudFormation, etc. Familiarity with containerization and orchestration (Docker, Kubernetes, ECS/EKS). Strong system design and problem-solving skills. Proficiency in CI/CD tools and DevOps practices. Strong communication and stakeholder management skills. Experience in leading More ❯

Design (DDD) . Extensive experience with AWS cloud ecosystem – services like EC2, S3, Lambda, SNS/SQS, API Gateway, RDS/DynamoDB, CloudFormation, etc. Familiarity with containerization and orchestration (Docker, Kubernetes, ECS/EKS). Strong system design and problem-solving skills. Proficiency in CI/CD tools and DevOps practices. Strong communication and stakeholder management skills. Experience in leading More ❯

Services: In-depth knowledge of advanced Azure services such as Azure Virtual Networks, Azure App Services, and Azure SQL Database. Containerization and Orchestration: Advanced knowledge of containerization technologies like Docker and orchestration tools such as Kubernetes. Security Expertise: Familiarity with cloud security best practices and experience in applying them to ensure the integrity of test environments and data. Performance Testing More ❯

security configuration for hundreds of thousands of assets. Hands-on experience in enterprise scale Amazon Web Services. A range of industry leading tooling, such as GitHub, Jfrog Artifactory, Jenkins, Docker, Qualys and Hashicorp Vault. Contributing to solving Enterprise scale problems. Delivering work for multiple stakeholders. Managing security and technology in a regulated environment. What it takes to build and own More ❯

systems UK citizenship or permanent residency required Fluent written and spoken English Desirable Ideally, you'll have some of the following: Experience with React in Javascript Experience working with Docker containers Experience with Geospatial Information Systems (GIS) or web mapping Experience within the telecommunications and/or utilities industries Knowledge of Node.js design and development Enterprise Integration especially web services More ❯

committed to code that is clean, well-tested, well-reviewed, performant, and secure then you'll fit in around here. Tech Stack: Micro-services Container Platforms (OpenShift, Kubernetes, CRC, Docker) NoSQL DBs (Cassandra, MongoDB, HBase, Zookeeper, ArangoDB) Serialization libraries (Thrift, Protocol Buffers) Large scale data processing (Hadoop, Kafka) Dependency injection frameworks (Guice, Spring) Text search engines (Lucene, ElasticSearch) Splunk/ More ❯

Strong ability to independently troubleshoot, reproduce issues and identify possible workarounds in broad, complex, and unique environments with mixed applications and protocols required Experience with containers, orchestrators like Kubernetes, Docker, Linux, Cloud Providers (AWS, Azure, GCP), CI/CD, Terraform, Ansible, Container Registries, Serverless a plus Existing knowledge of, and experience with public cloud platform (XaaS) features, capabilities, and best More ❯

Strong ability to independently troubleshoot, reproduce issues and identify possible workarounds in broad, complex, and unique environments with mixed applications and protocols required Experience with containers, orchestrators like Kubernetes, Docker, Linux, Cloud Providers (AWS, Azure, GCP), CI/CD, Terraform, Ansible, Container Registries, Serverless a plus Existing knowledge of, and experience with public cloud platform (XaaS) features, capabilities, and best More ❯

data engineering, programming languages (python, java etc.). Understanding of orchestration (Composer, DAGs), data processing (DataFlow, dbt), and database capabilities (e.g. BigQuery, CloudSQL, BigTable). Knowledge of container technologies (Docker, Kubernetes), IaaC (Terraform) and experience with cloud platforms such as GCP. Detailed understanding of automated CI/CD pipelines and experience of working with tools such as Jenkins, Spinnaker, Harness More ❯

troubleshoot complex issues in AI/ML systems. Technical Insight • Skills with MLOps concepts and principles. • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes). • Proficiency in programming languages such as Python, experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), and experience with MLOps frameworks/tools (e.g. Sagemaker pipelines, Azure ML More ❯

process of building out security solutions and controls - from architecting and designing, through to development and implementation Designing security solutions with an automated and scalable approach (think webhooks and Docker) Developing and extending OSS security automation tooling. This can range from detection tooling to security process automation, or a fuzzing infrastructure to find bugs Architecting, designing, and implementing End-to More ❯

design patterns, particularly when working with AI-powered features. Asynchronous Systems: Experience with building and maintaining asynchronous systems for automation and bulk use cases. Containerization and Orchestration: Experience with Docker and Kubernetes, especially in deploying AI models or microservices. Cloud Services: Familiarity with cloud platforms like AWS, Azure, or GCP. Experience with services such as AWS SageMaker, Google AI, or More ❯

ll help you with them Machine Learning softwaree.g. Amazon and Azure machine learning, or Google'sTensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible How we will support you Work-life balance is important; you can work around core hours with More ❯

ll help you with them Machine Learning softwaree.g. Amazon and Azure machine learning, or Google'sTensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible How we will support you Work-life balance is important; you can work around core hours with More ❯

you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible How we will support you Work-life balance is important; you can work around core hours with More ❯

within our products. Hands-on experience with cloud platforms such as AWS, Google Cloud, or Azure, including deploying and managing applications in the cloud. Knowledge of containerisation technologies like Docker and orchestration tools like Kubernetes. Familiarity with Agile development methodologies (e.g., Scrum, Kanban) and their practical application. Excellent communication skills , with the ability to effectively communicate technical concepts to both More ❯

teams workflows, as well as automating some time intensive manual tasks. We're looking to bring AI to the forefront of our operational workflows. Infrastructure & DevOps Kubernetes - Container orchestration Docker - Containerisation Terraform - Infrastructure as Code AWS & Google Cloud - Multi-cloud setup Custom Kitt CLI - Development tooling CircleCI - CI/CD pipeline Why Kitt? The world of work has shifted forever. More ❯

or DevOps experience in trading environments, with expertise in large-scale distributed systems; recent work in Java, Go, or Scala is preferred. Hands-on experience with container orchestration (Kubernetes, Docker, etc.) and cloud infrastructure, especially AWS; familiarity with Infrastructure-as-Code tools like Terraform or CloudFormation. Strong CI/CD and deployment pipeline skills, with a security-first mentality and More ❯

skills & experience are required for Data Devops Engineer: Excellent knowledge of Linux operating system administration and implementation Broad understanding of the containerisation domain adjacent technologies/services, such as: Docker, OpenShift, Kubernetes etc. Infrastructure as Code and CI/CD paradigms and systems such as: Ansible, Terraform, Jenkins, Bamboo, Concourse etc. Monitoring utilising products such as: Prometheus, Grafana, ELK, filebeat More ❯

Expertise in taking ownership of a requirement from start to finish, including gathering detailed requirements, designing, and implementing robust, innovative solutions. Experience with containerization technology and orchestration platforms e.g. Docker, Kubernetes Hands-on experience in installing, configuring, operating, and monitoring CI/CD pipeline tools Vast working experience on Gitlab CI or GitHub Actions Experience in monitoring tools as Grafana More ❯

CD. Expertise with monitoring or log aggregation tools. Proficient in one of: Golang, Rust, C, C++, Python, Bash Experience working AWS cloud services Experience with containerization technologies such as Docker/Kubernetes. Expertise in problem solving and analyzing global scale systems and critical production service environments. Capable of technical deep dives into networking, service design, operating systems, and storage. Verbally More ❯

Deep understanding of Linux operating systems, including Ubuntu, Red Hat, and CentOS Extensive knowledge of Java programming language and ecosystem, including Spring, Hibernate, and Maven Familiarity with containerization technologies (Docker, Kubernetes) and continuous integration/continuous delivery (CI/CD) principles Experience working within the public sector is required Excellent communication and leadership skills, with the ability to explain complex More ❯