1 to 25 of 1,513 Remote Containerisation Jobs

experience with Large Language Models (LLMs) such as OpenAI , Anthropic , Mistral , or Llama , and tools like Ollama . Cloud Platforms : Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration : Hands-on experience with Docker , Kubernetes , and Docker Compose . Infrastructure as Code (IaC) : Exposure to tools like Terraform . Monitoring Tools : Familiarity with LLM monitoring tools like More ❯

operations. Expertise with CI/CD tools (e.g., Jenkins, GitLab CI/CD, Travis CI). Proficiency in scripting and automation (e.g., Bash, Python, Ansible). Strong experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Deep knowledge of cloud platforms (e.g., AWS, Azure, GCP). Strong problem-solving and troubleshooting abilities. Excellent communication and leadership skills. DevOps certifications … . Knowledge of microservices architecture. Familiarity with security best practices and tools. Knowledge Cloud Platforms: Strong knowledge of AWS, Azure, or GCP, including cloud architecture, services, and security models. Containerization & Orchestration: In-depth understanding of Docker and Kubernetes for deploying and managing containerized applications. CI/CD Concepts: Solid knowledge of continuous integration and delivery principles, with a focus on … tools for building CI/CD pipelines. Scripting & Automation: Proficiency in scripting languages like Bash and Python, along with automation tools such as Ansible for managing configurations and deployments. Containerization & Orchestration: Practical skills in deploying and managing containers using Docker and orchestrating workloads using Kubernetes. Cloud Infrastructure Management: Expertise in managing and scaling cloud environments on AWS, Azure, or GCP More ❯

team planning • Strong communication and stakeholder engagement skills • Passion for mentoring, learning, and continuous delivery Nice to have (or willing to learn): • Experience with cloud platforms such as AWS • Containerisation (Docker, Kubernetes) • Infrastructure as Code (Terraform, Ansible) • Relational, document, or graph database systems Key Benefits: • Competitive salary: £55,000-£80,000 • Enhanced Security Clearance (SC required to start) • Access to More ❯

build and configurations of a variety of services, including compute, storage, and networking. Linux. Relational and NoSQL databases. Integration services such as messaging and streams. Building RESTful API Services. Containerization, Kubernetes, serverless functions. Microservices and distributed tracing. Enterprise logging, monitoring, and alerting frameworks (eg, ELK, Splunk, Prometheus, Grafana). Automation Scripting (using Scripting languages such as Terraform, Ansible, etc.). More ❯

Infrastructure build and configurations of a variety of services including Compute, Storage, Networking. Linux. Relational and NoSQL databases. Integration services such as messaging and streams. Building RESTful API Services. Containerisation, Kubernetes, serverless functions. Microservices, and distributed tracing. Enterprise logging, monitoring, and alerting frameworks (e.g., ELK, Splunk, Prometheus, Grafana). Automation scripting (using scripting languages such as Terraform, Ansible etc.). More ❯

Infrastructure build and configurations of a variety of services including Compute, Storage, Networking. Linux. Relational and NoSQL databases. Integration services such as messaging and streams. Building RESTful API Services. Containerisation, Kubernetes, serverless functions. Microservices, and distributed tracing. Enterprise logging, monitoring, and alerting frameworks (e.g., ELK, Splunk, Prometheus, Grafana). Automation scripting (using scripting languages such as Terraform, Ansible etc.). More ❯

Infrastructure build and configurations of a variety of services including Compute, Storage, Networking. Linux. Relational and NoSQL databases. Integration services such as messaging and streams. Building RESTful API Services. Containerisation, Kubernetes, serverless functions. Microservices, and distributed tracing. Enterprise logging, monitoring, and alerting frameworks (e.g., ELK, Splunk, Prometheus, Grafana). Automation scripting (using scripting languages such as Terraform, Ansible etc.). More ❯

Senior Platform Developer Put your career on the map Total Remuneration: £57,879 to £68,146 add salary range including relevant supplement Pay Supplement: The base salary for this role is £46,677-£54,957.This job qualifies for Digital, Data More ❯

Methodologies: Proficiency with Ansible, Terraform, and PackerIO for provisioning and managing infrastructure. Scripting & Automation Scripting Languages: Familiarity with Bash, PowerShell, or Python to automate workflows and system tasks. Virtualization & Containerization Virtual Environments: Experience administering virtualized systems using VMWare or Docker. Container Platforms: Knowledge of Docker/Kubernetes, AWS, Azure, or OpenShift (PaaS) for container orchestration and deployment. CI/CD … or equivalent services to build, deploy, and manage environments. System Design & Deployment Unix-Based Solutions: Proven experience designing, deploying, and administering Linux or Unix-based solutions, including virtualization and containerization techniques. Roles and Responsibilities Collaboration & Full Lifecycle Work in partnership with Argo and its partners, overseeing the full lifecycle of product components and systems—from initial conception to production and More ❯

across 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 More ❯

services, architecture, and best practices in one or more major public cloud providers (AWS, Azure, GCP) DevOps Practices: Strong experience with CI/CD pipelines, version control systems, and containerisation technologies (e.g., Docker) Experience Project Leadership: Demonstrated experience delivering cloud migration, optimisation, or transformation projects Client-Facing Experience: Proven track record of engaging with clients, understanding their requirements, and delivering More ❯

environment issues. Desirable Technology Skills and Awareness Advanced Cloud 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 More ❯

Strong knowledge of Azure services and cloud architecture. Experience with CI/CD tools, especially Azure DevOps. Proficiency in scripting languages such as PowerShell, Bash, or Python. Familiarity with containerization technologies like Docker and Kubernetes. Understanding of networking, security, and monitoring in cloud environments. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Adaptability and enthusiasm More ❯

Strong knowledge of Azure services and cloud architecture. Experience with CI/CD tools, especially Azure DevOps. Proficiency in scripting languages such as PowerShell, Bash, or Python. Familiarity with containerization technologies like Docker and Kubernetes. Understanding of networking, security, and monitoring in cloud environments. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Adaptability and enthusiasm More ❯

problem solving, efficient coding practices, and timely delivery. Problem Solving: Excellent analytical and troubleshooting skills, with a keen attention to detail. Good to have: Experience with microservices architecture and containerisation (Docker, Kubernetes). Familiarity with automated testing frameworks and continuous integration tools. Knowledge of modern authentication and authorization protocols (OAuth, JWT, etc.). Prior experience with version control systems, particularly More ❯

coding practices Testing & BDD Unit Testing Frameworks: Experience with Cypress, Cucumber, Behave, Selenium, or similar tools Domain-Specific Languages: Knowledge of BDD approaches (e.g., Cucumber, Gherkin) for test automation Containerisation & Microservices Container Technologies: Practical understanding of Docker or equivalent solutions Microservice Patterns: Experience architecting microservice-based systems with built-in observability and security Cloud Services & Environments Cloud Providers: Demonstrable experience More ❯

Familiarity with additional backend technologies such as Node.js, Python, or Java is a plus. Nice-to-Have Skills: Experience with infrastructure automation tools (e.g., Terraform, Ansible). Knowledge of containerization and orchestration tools such as Docker and Kubernetes. Familiarity with Agile/Scrum methodologies. Experience in serverless architectures and microservices. Benefits Package and Benefits: Competitive salary, dependent on experience Flexible More ❯

be great if you also had experience in some of these, but if not we'll help you with them: Deploying and managing in Cloud Computing such as AWS Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible, Terraform This is a place where you'll be able to make a real difference. More ❯

AWS cloud administration, including services such as: EC2, S3, ELB, RDS, IAM, Route 53, Auto Scaling Groups, Lambda, Cloud Watch, Cloud Formation and Security Groups. You possess expertise in containerisation within Kubernetes and Docker and are familiar with the pattern of Microservice Architecture. You can define container configuration and troubleshoot issues. You're an expert with configuration management technologies such More ❯

Qualifications: Basic Qualifications : • 3+ Years experience with DevSecOps principles and practices • Experience with CI/CD pipelines and tools (e.g., Jenkins, GitLab CI/CD, Azure DevOps) • Experience with containerization technologies (e.g., Docker, Kubernetes) • Experience with Agile methodologies (e.g., Scrum, Kanban) • Active TS/SCI Security Clearance is required to start with the ability to obtain and maintain a TS More ❯

software. Basic Qualifications: • 3+ Years experience with DevSecOps principles and practices • Experience with CI/CD pipelines and tools (e.g., Jenkins, GitLab CI/CD, Azure DevOps) • Experience with containerization technologies (e.g., Docker, Kubernetes) • Experience with Agile methodologies (e.g., Scrum, Kanban) • Active TS/SCI Security Clearance is required to start with the ability to obtain and maintain a TS More ❯

PowerShell, or similar scripting languages. Infrastructure as Code - Advanced experience with Terraform, Ansible, or similar tools. Version Control - Expertise in Git and workflows like GitFlow and trunk-based development. Containerisation & Orchestration - Extensive hands-on experience architecting, deploying, and managing containerized applications using Docker, Kubernetes, and Helm in production-grade environments. Deployment Techniques - Hands-on experience with GitOps tools (e.g., ArgoCD More ❯

you had : Data Engineering - experience of one or more: Apache ecosystem, SQL, Python. Web - HTML, CSS, JavaScript, XML, SOAP. Experience with Secure DevSecOps within an Agile/SAFe environment. Containerisation & Orchestration - Docker, Podman, Kubernetes, Rancher etc. Software development capability. Any form of prior development expertise would be beneficial, but the eagerness and desire to learn new technologies would be preferable. More ❯

Experience with microservices architecture, RESTful API development, and system integration. Prior experience in financial services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain Skilled in designing and operationalising AI Ops frameworks within cloud-based production environments. Exceptional communication skills More ❯

Experience with microservices architecture, RESTful API development, and system integration. Prior experience in financial services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain Skilled in designing and operationalising AI Ops frameworks within cloud-based production environments. Exceptional communication skills More ❯