1 to 25 of 579 Docker Jobs in Central London

Linux OS. Bash, Scripting, Automation, Ansible, Networking, Security. Hands-on experience with DevOps Principles and Tools. Hands-on with Terraform, Packer, Git, GitHub, Gitlab, Jira & Confluence. Containerisation/Virtualisation - Docker/Podman. Kubernetes - In-depth experience to Install, configure, monitor cluster. Hands-on with Kubectl cli, Helm, Nginx Ingress, Istio CI/CD - GitHub Actions, Gitlab CI, Jenkins Networking - TCP More ❯

Linux OS. Bash, Scripting, Automation, Ansible, Networking, Security. Hands-on experience with DevOps Principles and Tools. Hands-on with Terraform, Packer, Git, GitHub, Gitlab, Jira & Confluence. Containerisation/Virtualisation - Docker/Podman. Kubernetes - In-depth experience to Install, configure, monitor cluster. Hands-on with Kubectl cli, Helm, Nginx Ingress, Istio CI/CD - GitHub Actions, Gitlab CI, Jenkins Networking - TCP More ❯

the stack. Ensure high code quality through code reviews, CI/CD, test automation, and Git-based workflows. Own deployment pipelines across cloud providers (AWS, GCP, Azure) using containerization (Docker, Kubernetes). Design and implement microservices and APIs for internal tools and external integrations. Work with data at scale (market data ingestion, real-time analytics, historical storage). Required Skills More ❯

the stack. Ensure high code quality through code reviews, CI/CD, test automation, and Git-based workflows. Own deployment pipelines across cloud providers (AWS, GCP, Azure) using containerization (Docker, Kubernetes). Design and implement microservices and APIs for internal tools and external integrations. Work with data at scale (market data ingestion, real-time analytics, historical storage). Required Skills More ❯

engineering strategy. Familiarity with automated testing frameworks and static code analysis (e.g. SonarQube). Desirable Skills (Training Provided Where Needed) Experience deploying to cloud platforms (preferably AWS ). Containerisation (Docker, Kubernetes). Infrastructure as Code (Ansible, Terraform). Exposure to various data storage technologies (SQL/NoSQL/Graph). Clearance: Applicants must be eligible for SC clearance to start More ❯

GitHub Actions, Helm. * Proficiency in Infrastructure as Code – Terraform * Network Fundamentals - Firewalls and ingress/egress Patterns, application layer protocols (TLS/SSL, HTTP(S), DNS, etc) * Experience with Docker/Kubernetes (creating images, deployment) * Experience with GCP based security hardening including IAM, ACL, firewall rules * Experience with DBMS and SQL (Oracle) * Experience in supporting/building Continuous Delivery pipelines More ❯

EC2, S3, IAM, etc.) Infrastructure as Code: Terraform or CloudFormation Configuration management: Ansible Reverse proxy/load balancer experience: Nginx CI/CD tools: Jenkins , GitHub Actions , or similar Docker/container experience Experience working in Agile teams using tools like Git , Jira , and Confluence Eligible for SC and NPPV3 clearance Desirable: Container orchestration with Kubernetes HashiCorp tools: Vault , Consul More ❯

EC2, S3, IAM, etc.) Infrastructure as Code: Terraform or CloudFormation Configuration management: Ansible Reverse proxy/load balancer experience: Nginx CI/CD tools: Jenkins , GitHub Actions , or similar Docker/container experience Experience working in Agile teams using tools like Git , Jira , and Confluence Eligible for SC and NPPV3 clearance Desirable: Container orchestration with Kubernetes HashiCorp tools: Vault , Consul More ❯

TypeScript etc? Experienced working on cloud platform such as AWS, Google Cloud and have a good understanding of cloud infrastructure? Experienced working with Containers and Orchestration tools such as Docker & Kubernetes? Looking to work for a company working along side engineers who love to solve complex, end to end, cloud first transformation challenges for their customers? Enjoy working remotely and … across a range of tooling in the following areas: Programming: with at least one language; Go, Java, Python, Ruby, TypeScript etc Cloud: Either AWS, GCP, Azure Container/Orchestration: Docker, Kubernetes IAC: Terraform, Cloud Formation, CrossPlane, Ansible (Config Mgt) CI/CD: CircleCI, GitHub Actions, Jenkins, etc The Role: Hands-On: The Senior Engineering role is hands-on working across More ❯

TypeScript etc? Experienced working on cloud platform such as AWS, Google Cloud and have a good understanding of cloud infrastructure? Experienced working with Containers and Orchestration tools such as Docker & Kubernetes? Looking to work for a company working along side engineers who love to solve complex, end to end, cloud first transformation challenges for their customers? Enjoy working remotely and … across a range of tooling in the following areas: Programming: with at least one language; Go, Java, Python, Ruby, TypeScript etc Cloud: Either AWS, GCP, Azure Container/Orchestration: Docker, Kubernetes IAC: Terraform, Cloud Formation, CrossPlane, Ansible (Config Mgt) CI/CD: CircleCI, GitHub Actions, Jenkins, etc The Role: Hands-On: The Senior Engineering role is hands-on working across More ❯

like GCP, AWS, GitHub Actions, Kubernetes, Docker. Responsibilities Design, implement, and manage scalable, secure, and resilient infrastructure on GCP. Develop and maintain CI/CD pipelines using Kubernetes and Docker for seamless deployment. Automate infrastructure provisioning and configuration management using Terraform. Monitor system performance, identify bottlenecks, and implement solutions to improve reliability and performance. Collaborate with cross-functional teams to … improve our infrastructure. Key Requirements Proven experience as a DevOps Engineer or in a similar role. Strong expertise in GCP services and architecture. Hands-on experience with Kubernetes and Docker for container orchestration and management. Proficiency in using Terraform or alternatives for infrastructure as code. Solid understanding of CI/CD pipelines and tools (e.g., Github CI, GitLab CI, CircleCI More ❯

like GCP, AWS, GitHub Actions, Kubernetes, Docker. Responsibilities Design, implement, and manage scalable, secure, and resilient infrastructure on GCP. Develop and maintain CI/CD pipelines using Kubernetes and Docker for seamless deployment. Automate infrastructure provisioning and configuration management using Terraform. Monitor system performance, identify bottlenecks, and implement solutions to improve reliability and performance. Collaborate with cross-functional teams to … improve our infrastructure. Key Requirements Proven experience as a DevOps Engineer or in a similar role. Strong expertise in GCP services and architecture. Hands-on experience with Kubernetes and Docker for container orchestration and management. Proficiency in using Terraform or alternatives for infrastructure as code. Solid understanding of CI/CD pipelines and tools (e.g., Github CI, GitLab CI, CircleCI More ❯

automation for Databricks workspace setup, cluster configuration, and job deployments. Optimise Databricks workloads for performance, scalability, and cost-effectiveness. Containerisation & Orchestration: Implement and manage containerised applications and services using Docker and Kubernetes (or Azure Kubernetes Service - AKS). Design and implement container orchestration strategies for deploying and scaling platform components. CI/CD Pipeline Automation: Design and implement robust CI … or Bicep. Solid understanding of CI/CD principles and experience with CI/CD tools like Azure DevOps, Jenkins, or GitLab CI. Strong experience with containerisation technologies like Docker and orchestration tools like Kubernetes (or AKS). Experience with monitoring and logging tools. Scripting skills in PowerShell, Bash, YAML and Python. Good understanding of networking concepts and security best More ❯

automation for Databricks workspace setup, cluster configuration, and job deployments. Optimise Databricks workloads for performance, scalability, and cost-effectiveness. Containerisation & Orchestration: Implement and manage containerised applications and services using Docker and Kubernetes (or Azure Kubernetes Service - AKS). Design and implement container orchestration strategies for deploying and scaling platform components. CI/CD Pipeline Automation: Design and implement robust CI … or Bicep. Solid understanding of CI/CD principles and experience with CI/CD tools like Azure DevOps, Jenkins, or GitLab CI. Strong experience with containerisation technologies like Docker and orchestration tools like Kubernetes (or AKS). Experience with monitoring and logging tools. Scripting skills in PowerShell, Bash, YAML and Python. Good understanding of networking concepts and security best More ❯

streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure certifications related to data engineering (e.g., Azure Data Engineer Associate). More ❯

streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure certifications related to data engineering (e.g., Azure Data Engineer Associate). More ❯

Reliability, or infrastructure-focused role Working knowledge of Linux-based systems and scripting languages (e.g. Bash, Python) Hands-on experience with a public cloud platform (preferably AWS) Familiarity with Docker and containerisation (Kubernetes experience is a plus) A strong interest in automation, infrastructure best practices, and continuous learning Good communication skills and a collaborative mindset Desirable Skills Experience with Terraform More ❯

Reliability, or infrastructure-focused role Working knowledge of Linux-based systems and scripting languages (e.g. Bash, Python) Hands-on experience with a public cloud platform (preferably AWS) Familiarity with Docker and containerisation (Kubernetes experience is a plus) A strong interest in automation, infrastructure best practices, and continuous learning Good communication skills and a collaborative mindset Desirable Skills Experience with Terraform More ❯

with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. Skilled in Python, React, Typescript, Kubernetes, Azure, and OpenAI technologies. A natural problem-solver with a talent for leading, motivating, and inspiring More ❯

with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. Skilled in Python, React, Typescript, Kubernetes, Azure, and OpenAI technologies. A natural problem-solver with a talent for leading, motivating, and inspiring More ❯

Dimensional models, and Data Vault. · Hands-on experience with: · Developing data pipelines (Snowflake), writing complex SQL queries. · Building ETL/ELT/data pipelines. · Kubernetes and Linux containers (e.g., Docker). · Related/complementary open-source software platforms and languages (e.g., Scala, Python, Java, Linux). · Experience with both relational (RDBMS) and non-relational databases. · Analytical and problem-solving skills More ❯

Dimensional models, and Data Vault. · Hands-on experience with: · Developing data pipelines (Snowflake), writing complex SQL queries. · Building ETL/ELT/data pipelines. · Kubernetes and Linux containers (e.g., Docker). · Related/complementary open-source software platforms and languages (e.g., Scala, Python, Java, Linux). · Experience with both relational (RDBMS) and non-relational databases. · Analytical and problem-solving skills More ❯

for data pipelines, distributed systems and micro-services. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply More ❯

for data pipelines, distributed systems and micro-services. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply More ❯

for data pipelines, distributed systems and micro-services. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply More ❯