301 to 325 of 951 Remote Docker Jobs

understanding of RESTful API development, web application design patterns, and secure coding practices. Familiarity with CI/CD pipelines, automated testing, and integration with third-party services; experience with Docker, Kubernetes, or AWS is a plus. This is a full-time, permanent role offering a starting salary up to £80,000 (DOE) and a remote-first working model. Please Note More ❯

s in Computer Science, Information Security, Engineering, or related field. Expertise in cloud platforms (Azure required; AWS or GCP a plus), Infrastructure-as-Code (Terraform), automation, and containerization (Kubernetes, Docker). Proven experience leading enterprise-wide cloud transformations in complex environments. Strong understanding of cloud security, IAM, encryption, and compliance frameworks (ISO 27001, SOC 2, GDPR). Experience with DevOps 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 ❯

experience with AWS and cloud-native services (also happy to consider Azure or GCP). Hands-on with Terraform and infrastructure as code. Solid knowledge of containers and orchestration (Docker, Kubernetes). Strong background with GitHub and CI/CD practices. Proficiency with at least one scripting or programming language. Why This Role? Be part of an employee-first business More ❯

Computer Science (or a related field) with 5 years of experience. Experience with DevOps or Site Reliability Engineering methodologies. Required Skills: Git, Linux, Windows, Agile Methodologies, Jenkins/Bamboo, Docker, MySQL, and AWS cloud. Programming Languages: Experience with Ruby, C/C++, Go, Python, or Java. Strong communication skills and the ability to work independently and as part of a 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 ❯

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 ❯

experience with AWS and cloud-native services (also happy to consider Azure or GCP). Hands-on with Terraform and infrastructure as code. Solid knowledge of containers and orchestration (Docker, Kubernetes). Strong background with GitHub and CI/CD practices. Proficiency with at least one scripting or programming language. Why This Role? Be part of an employee-first business 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 ❯

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 ❯

You have strong commercial experience with Java and frameworks such as Spring/Spring Boot. You bring solid cloud experience (preferably AWS) and are confident working with Kubernetes and Docker . You’re skilled with messaging systems and APIs (Kafka, ActiveMQ, JMS, REST, CometD). You have hands-on experience with databases (DB2, MongoDB, MySQL). You understand caching technologies More ❯

infrastructure provisioning, configuration, and deployment within a highly secure environment. Collaborate as part of a multi-disciplined Agile/Scrum team. Key Technologies Cloud & Infrastructure : AWS CloudFormation, Amazon ECS, Docker, Kubernetes Automation & CI/CD : CI/CD automation (ideally DroneCI), Git (GitHub or GitLab), Ansible Scripting & Administration : Advanced Linux administration and scripting (e.g., Bash) Security : Strong knowledge of security More ❯

experience with AWS infrastructure with proficiency in the services such as: S3, EC2, Lambda functions, Cloud Formation, Athena, Dynamo DB, Code Commit, SageMaker, etc. Strong experience with containerisation using Docker and containers management. Strong software engineering skillset including code review: a good understanding of coding best practices and experience with code and data versioning (using Git/CodeCommit), code quality More ❯

to translate prototypes into reliable, maintainable ML applications. Identify opportunities to develop new ML solutions in partnership with Data Science teams. Platform & Tooling Automate and standardise ML infrastructure using Docker, Kubernetes, and Terraform. Support and develop monitoring dashboards for key ML and AI services. Ensure cloud-native, secure, and cost-efficient deployments in AWS environments. Contribute to the development of More ❯

to translate prototypes into reliable, maintainable ML applications. Identify opportunities to develop new ML solutions in partnership with Data Science teams. Platform & Tooling Automate and standardise ML infrastructure using Docker, Kubernetes, and Terraform. Support and develop monitoring dashboards for key ML and AI services. Ensure cloud-native, secure, and cost-efficient deployments in AWS environments. Contribute to the development of More ❯

to translate prototypes into reliable, maintainable ML applications. Identify opportunities to develop new ML solutions in partnership with Data Science teams. Platform & Tooling Automate and standardise ML infrastructure using Docker, Kubernetes, and Terraform. Support and develop monitoring dashboards for key ML and AI services. Ensure cloud-native, secure, and cost-efficient deployments in AWS environments. Contribute to the development of More ❯

to translate prototypes into reliable, maintainable ML applications. Identify opportunities to develop new ML solutions in partnership with Data Science teams. Platform & Tooling Automate and standardise ML infrastructure using Docker, Kubernetes, and Terraform. Support and develop monitoring dashboards for key ML and AI services. Ensure cloud-native, secure, and cost-efficient deployments in AWS environments. Contribute to the development of More ❯

to translate prototypes into reliable, maintainable ML applications. Identify opportunities to develop new ML solutions in partnership with Data Science teams. Platform & Tooling Automate and standardise ML infrastructure using Docker, Kubernetes, and Terraform. Support and develop monitoring dashboards for key ML and AI services. Ensure cloud-native, secure, and cost-efficient deployments in AWS environments. Contribute to the development of More ❯

by-design and regulatory standards. Skills and Experience Essential: Proven experience as a Platform, Infrastructure, or DevOps Engineer in secure or regulated environments. Strong hands-on experience with Kubernetes , Docker , and CI/CD frameworks . Expertise with Infrastructure-as-Code (Terraform, Ansible, Helm). Knowledge of cloud platforms (Azure or AWS). Understanding of identity management , access control, and More ❯

on AWS Bachelor's Degree or higher in Computer Science, Information Systems, or similar Ability to manage multiple priority tasks Self-motivated task identification Desired: Knowledge of containerization technologies (Docker, Kubernetes) Experience with CI/CD tools (Jenkins, GitLab CI, AWS CodePipeline) Familiarity with Agile methodologies Clearance Applicants selected will be subject to a security investigation and may need to More ❯

of learning, growth, and risk. Requirements: Active TS-SCI with CI Poly Security Clearance Hands-on, demonstrated experience developing, testing, and maintaining data-oriented solutions 10+ year experience with Docker and/or Kubernetes, or managed service equivalents (e.g., ECS, EKS) 10+ years' experience in programming or software engineering, preferably Python, JavaScript, and/or Kotlin. 10+ years' experience working More ❯

and training in areas of expertise. Amazon S3, SQS/SNS Admin experience Apache Airflow Workloads via UI or CLI a plus Experience with Mage AI a plus Kubernetes, Docker More ❯

Automate application and infrastructure provisioning, configuration and deployment within a highly secure environment • Work as part of a multi-disciplined Agile/Scrum team Technologies : AWS Cloudformation Amazon ECS Docker Kubernetes CI/CD automation (ideally DroneCI) Git (e.g. GitHub or GitLab) advanced Linux administration and scripting (e.g. Bash) Ansible Good knowledge of security best practises and experience automating/ More ❯

track record building and maintaining CI/CD pipelines and automated release processes Experience with monitoring and logging frameworks (CloudWatch, Prometheus, Grafana, or similar) Familiarity with containerisation and orchestration (Docker, ECS, EKS, or Kubernetes) Working knowledge of scripting/programming (Python, Bash, or Go) for automation and tooling Understanding of networking, IAM, and security fundamentals in a regulated fintech or More ❯

track record building and maintaining CI/CD pipelines and automated release processes Experience with monitoring and logging frameworks (CloudWatch, Prometheus, Grafana, or similar) Familiarity with containerisation and orchestration (Docker, ECS, EKS, or Kubernetes) Working knowledge of scripting/programming (Python, Bash, or Go) for automation and tooling Understanding of networking, IAM, and security fundamentals in a regulated fintech or More ❯