126 to 150 of 1,270 Docker Jobs in London

in Java, Python, or Scala • Solid understanding of event-driven architecture and data streaming patterns • Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure • Familiarity with Docker, Kubernetes, and CI/CD pipelines • Excellent problem-solving and communication abilities Preferred: Candidates with experience in Confluent Kafka and its ecosystem will be given preference: • Experience with Kafka Connect More ❯

engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). Familiarity with data engineering concepts such More ❯

engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). Familiarity with data engineering concepts such More ❯

engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). Familiarity with data engineering concepts such More ❯

engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). Familiarity with data engineering concepts such More ❯

processes to ensure optimum efficiency. Technical Insight: • Experience working with DevOps tooling • Infrastructure as Code – HashiStack (Terraform, Vault, Consul etc..) • Continuous Integration practices and Continuous Deployment/Delivery • Containers – Docker, Kubernetes etc. • Configuration Management – Ansible, Chef, Puppet etc. • Cloud – AWS preferred; multi clould experience ie with Azure, GCP etc. highly desirable • Monitoring – ELK, Prometheus, Splunk, Grafana, etc. • Experience in one More ❯

processes to ensure optimum efficiency. Technical Insight: • Experience working with DevOps tooling • Infrastructure as Code – HashiStack (Terraform, Vault, Consul etc..) • Continuous Integration practices and Continuous Deployment/Delivery • Containers – Docker, Kubernetes etc. • Configuration Management – Ansible, Chef, Puppet etc. • Cloud – AWS preferred; multi clould experience ie with Azure, GCP etc. highly desirable • Monitoring – ELK, Prometheus, Splunk, Grafana, etc. • Experience in one More ❯

processes to ensure optimum efficiency. Technical Insight: • Experience working with DevOps tooling • Infrastructure as Code – HashiStack (Terraform, Vault, Consul etc..) • Continuous Integration practices and Continuous Deployment/Delivery • Containers – Docker, Kubernetes etc. • Configuration Management – Ansible, Chef, Puppet etc. • Cloud – AWS preferred; multi clould experience ie with Azure, GCP etc. highly desirable • Monitoring – ELK, Prometheus, Splunk, Grafana, etc. • Experience in one More ❯

processes to ensure optimum efficiency. Technical Insight: • Experience working with DevOps tooling • Infrastructure as Code – HashiStack (Terraform, Vault, Consul etc..) • Continuous Integration practices and Continuous Deployment/Delivery • Containers – Docker, Kubernetes etc. • Configuration Management – Ansible, Chef, Puppet etc. • Cloud – AWS preferred; multi clould experience ie with Azure, GCP etc. highly desirable • Monitoring – ELK, Prometheus, Splunk, Grafana, etc. • Experience in one More ❯

the ability to work independently or within a team. Preferred Qualifications Advanced Degrees: Master’s in Data Science or Software Engineering. Cloud & DevOps: Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools (Jira, Confluence, Bitbucket). AI/ML: Exposure to AI/ML projects or More ❯

the ability to work independently or within a team. Preferred Qualifications Advanced Degrees: Master’s in Data Science or Software Engineering. Cloud & DevOps: Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools (Jira, Confluence, Bitbucket). AI/ML: Exposure to AI/ML projects or More ❯

the ability to work independently or within a team. Preferred Qualifications Advanced Degrees: Master’s in Data Science or Software Engineering. Cloud & DevOps: Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools (Jira, Confluence, Bitbucket). AI/ML: Exposure to AI/ML projects or More ❯

the ability to work independently or within a team. Preferred Qualifications Advanced Degrees: Master’s in Data Science or Software Engineering. Cloud & DevOps: Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools (Jira, Confluence, Bitbucket). AI/ML: Exposure to AI/ML projects or More ❯

UK Security Clearance and is a strict hiring requirement. Demonstrated ability to troubleshoot and resolve complex issues across varied environments, independently and effectively Experience with cloud-native technologies: Kubernetes, Docker, Linux, AWS, Azure, GCP, CI/CD, Terraform, Ansible, Serverless, and container registries In-depth understanding of public cloud platforms and deployment best practices Strong knowledge of network protocols (TCP More ❯

depending on experience) Fully remote Benefits package Over 4 years experience working with Java, React, Javascript, Python Experience using Cloud-based architecture, AWS or Azure DevOps Automated Tools, Jenkins, Docker, OpenShift or Kubernetes Experience using SQL, MongoDB or Elasticsearch Experience using Testing technologies, Cypress, Selenium or Cucumber I have interview slots immediately available - please contact me chris. More ❯

Kafka) * Experience of Java * Experience of Spring framework or equivalent. * Knowledge of software design patterns and when to apply them * Excellent knowledge of development processes. * Experience of containerisation using Docker or Kubernetes * Experience of Continuous Integration (CI) and Continuous Delivery (CD) * A passion for delivering quality code, by use of TDD and setting high software quality standard Desirable Skills: * Designing 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 ❯

1st or 2:1). 5+ years of full-stack development experience (Python/Django). Strong experience with SQL databases (PostgreSQL/MySQL). Familiarity with DevOps tools (Docker, Kubernetes, AWS/GCP/Azure). Experience with API development and Git. More ❯

the following as possible: Programming & Scripting: Python, Java, JavaScript, C++, Scriban Web Technologies: RESTful APIs, HTTP, JSON, HTML, CSS, Node.js Databases: SQL Server, MySQL, PostgreSQL, MongoDB Tools & Frameworks: Git, Docker, Jenkins, Kubernetes, Agile (Scrum & Kanban), JIRA, Pytest, Powershell Operating Systems: Linux, Windows Additional skills that will set you apart: CI/CD pipelines and debugging expertise BDD frameworks such as More ❯

CI, CircleCI, or Azure DevOps) Solid grasp of version control (Git) and modern software delivery practices Desirable Experience in consulting or working with multiple client projects Familiarity with containerisation (Docker, Kubernetes) Understanding of modern API design and microservice architecture More ❯

CI, CircleCI, or Azure DevOps) Solid grasp of version control (Git) and modern software delivery practices Desirable Experience in consulting or working with multiple client projects Familiarity with containerisation (Docker, Kubernetes) Understanding of modern API design and microservice architecture More ❯

and product teams to drive end to end reliability. Qualifications Experience 6+ years of DevOps/SRE experience in cloud environments (AWS, Azure, or GCP). Expertise in Kubernetes, Docker, Helm, and microservices architectures. Strong scripting skills in Python, Bash, or Typescript. Proven track record of automating build, test, and deployment workflows. Clear communicator with a security first mindset. Join More ❯

Infrastructure-as-Code tools (e.g., Terraform, Ansible). Strong proficiency in AWS cloud tools and architecture, including deploying microservices using ECS, ECR, and Fargate. Experience with Python scripting and Docker for automation and containerization. Proven experience in setting up and managing Azure DevOps CI/CD pipelines. Solid understanding of build and deployment methodologies for distributed systems. Experience with enterprise More ❯

Infrastructure-as-Code tools (e.g., Terraform, Ansible). Strong proficiency in AWS cloud tools and architecture, including deploying microservices using ECS, ECR, and Fargate. Experience with Python scripting and Docker for automation and containerization. Proven experience in setting up and managing Azure DevOps CI/CD pipelines. Solid understanding of build and deployment methodologies for distributed systems. Experience with enterprise More ❯

Infrastructure-as-Code tools (e.g., Terraform, Ansible). Strong proficiency in AWS cloud tools and architecture, including deploying microservices using ECS, ECR, and Fargate. Experience with Python scripting and Docker for automation and containerization. Proven experience in setting up and managing Azure DevOps CI/CD pipelines. Solid understanding of build and deployment methodologies for distributed systems. Experience with enterprise More ❯