126 to 150 of 3,182 Remote Docker Jobs

side frameworks Familiarity with microservices architecture and distributed systems Experience working with relational databases (e.g., PostgreSQL) Understanding of CI/CD processes and containerization (Docker, Kubernetes) Excellent problem-solving and communication skills; able to work independently and in teams Preferred Qualifications Exposure to automated program analysis, vulnerability research, or reverse More ❯

in infrastructure as code (IaC) using Terraform . Experience with CI/CD pipelines and related tools/frameworks. Containerisation Good knowledge of containers ( Docker, Kubernetes , etc.). Cloud Experience with GCP, AWS, or Azure . Good understanding of cloud storage, networking, and resource provisioning. It would be great if More ❯

suggest improvements Desirable: Dynamics 365 CE and Power Platform/SharePoint/M365 experience. Familiarity with Angular and Vue.js. Knowledge of containerization technologies (e.g., Docker, Kubernetes). Benefits; 25 days annual leave + publicholidays, rising with length of service Employee benefits trust Company bonus scheme Life assurance 4 x Salary More ❯

e.g., Java, Python, C#). Strong understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-native architectures. Experience with APIs, microservices, containerization (Docker, Kubernetes), and modern software development practices. Knowledge of database technologies (SQL, NoSQL) and data management best practices. Familiarity with DevOps practices, CI/CD pipelines More ❯

e.g., Java, Python, C#). Strong understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-native architectures. Experience with APIs, microservices, containerization (Docker, Kubernetes), and modern software development practices. Knowledge of database technologies (SQL, NoSQL) and data management best practices. Familiarity with DevOps practices, CI/CD pipelines More ❯

e.g., Java, Python, C#). Strong understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-native architectures. Experience with APIs, microservices, containerization (Docker, Kubernetes), and modern software development practices. Knowledge of database technologies (SQL, NoSQL) and data management best practices. Familiarity with DevOps practices, CI/CD pipelines More ❯

tools such as Puppet, Chef, or Ansible etc Infrastructure as Code tools like Terraform or Cloud formation Cloud technologies such as AWS or Azure Docker, and container runtime platforms such as Kubernetes, Openshift or Marathon/Mesos etc How we will support you Work-life balance is important; you can More ❯

hooks React Native Server-side rendering Styled Components Testing react apps using testing-library and jest Testing .Net using NUnit, XUnit and utilising Moq Docker and kubernetes AWS and terraform Experience running high-availability distributed systems What We Offer You Generous annual leave policies aimed at promoting work-life balance. More ❯

not we'll help you with them AWS Certification at Associate level eg Solution Architect, Developer or DevOps Expertise in microservices and API design Docker, and container runtime platforms such as Kubernetes, EKS, ECS etc Strong understand of operational concepts on AWS, particularly monitoring and observability, FinOps UtilisingCI/CD More ❯

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 More ❯

hooks React Native Server-side rendering Styled Components Testing react apps using testing-library and jest Testing .Net using NUnit, XUnit and utilising Moq Docker and kubernetes AWS and terraform Experience running high-availability distributed systems What We Offer You Generous annual leave policies aimed at promoting work-life balance. More ❯

features iteratively. Qualifications 5+ years of experience in software development. Strong experience with scalable software architecture: microservices, APIs (e.g.: REST, gRPC), container deployment (e.g.: Docker, Kubernetes, Istio) and messaging architectures (e.g. Kafka). Concrete experience with Kafka and Kafka streams is a plus. Passion for and experience in building resilient More ❯

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 More ❯

not we'll help you with them AWS Certification at Associate level eg Solution Architect, Developer or DevOps Expertise in microservices and API design Docker, and container runtime platforms such as Kubernetes, EKS, ECS etc Strong understand of operational concepts on AWS, particularly monitoring and observability, FinOps UtilisingCI/CD More ❯

in monitoring tools such as Grafana, ELK. Experience in Agile software development systems and JIRA Tools. Experience with containerization technology and orchestration platforms e.g. Docker, Kubernetes. Understanding IT, network services and security. Ability to collaborate effectively with others to drive forward key security objectives. Strong communication skills including presentation and More ❯

experience in a cloud-based environment e.g. Azure/AWS/GCP and related services Experience of cloud engineering within containerization technologies such as Docker and Kubernetes Demonstrates following sound engineering practices, especially utilising automation tools, working knowledge of CI/CD pipeline tools such as Azure DevOps, Octopus Deploy More ❯

to optimize data systems for performance, cost, and scalability. Preferred Skills Experience with Python for data processing and automation tasks. Knowledge of containerisation technologies (Docker, Kubernetes). Experience with IaC (Infrastructure as Code) tools like Terraform. Familiarity with event-driven architectures. Experience implementing data lineage and metadata management solutions. Background More ❯

relevant standards Experience with additional data processing and ETL tools like Apache Kafka, Spark, or Hadoop Familiarity with containerization and orchestration tools such as Docker and Kubernetes Experience with monitoring and alerting tools such as Prometheus, Grafana, or ELK for data infrastructure Understanding of ML algorithms, their development and implementation More ❯

experience in a cloud-based environment e.g. Azure/AWS/GCP and related services Experience of cloud engineering within containerization technologies such as Docker and Kubernetes Demonstrates following sound engineering practices, especially utilising automation tools, working knowledge of CI/CD pipeline tools such as Azure DevOps, Octopus Deploy More ❯

experience in a cloud-based environment e.g. Azure/AWS/GCP and related services Experience of cloud engineering within containerization technologies such as Docker and Kubernetes Demonstrates following sound engineering practices, especially utilising automation tools, working knowledge of CI/CD pipeline tools such as Azure DevOps, Octopus Deploy More ❯

similar Strong knowledge of CI/CD tooling (e.g. GitHub Actions, TeamCity, Jenkins, Azure DevOps) Understanding of REST APIs, SQL, mocking tools, and containerisation (Docker/Kubernetes) Comfortable managing test environments and advocating for test data strategy Strong communication, mentoring, and influencing skills Bonus Points For: ISTQB or Certified Agile More ❯

AWS CDK or CloudFormation. Experience implementing and scaling MLOps workflows with tools such as MLflow, SageMaker Pipelines. Proven experience building, containerising, and deploying using Docker and Kubernetes. Hands-on experience with CI/CD tools (GitHub Actions, CodePipeline, Jenkins) and version control using Git/GitHub. Strong understanding of DevOps More ❯

AWS CDK or CloudFormation. Experience implementing and scaling MLOps workflows with tools such as MLflow, SageMaker Pipelines. Proven experience building, containerising, and deploying using Docker and Kubernetes. Hands-on experience with CI/CD tools (GitHub Actions, CodePipeline, Jenkins) and version control using Git/GitHub. Strong understanding of DevOps More ❯

AWS CDK or CloudFormation. Experience implementing and scaling MLOps workflows with tools such as MLflow, SageMaker Pipelines. Proven experience building, containerising, and deploying using Docker and Kubernetes. Hands-on experience with CI/CD tools (GitHub Actions, CodePipeline, Jenkins) and version control using Git/GitHub. Strong understanding of DevOps More ❯

AWS CDK or CloudFormation. Experience implementing and scaling MLOps workflows with tools such as MLflow, SageMaker Pipelines. Proven experience building, containerising, and deploying using Docker and Kubernetes. Hands-on experience with CI/CD tools (GitHub Actions, CodePipeline, Jenkins) and version control using Git/GitHub. Strong understanding of DevOps More ❯