1 to 25 of 53 Remote Containerisation Jobs in the South East

platforms (AWS, Azure, GCP). Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Knowledge of scripting languages (Python, Bash, PowerShell). Knowledge of containerization & orchestration (Docker, Kubernetes). Experience with monitoring/logging tools (Prometheus, Grafana, Splunk, ELK, CloudWatch). Professional level of English (spoken and written), enabling effective communication across international teams. Excellent More ❯

cloud platforms (Azure, GCP). Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Knowledge of scripting languages (Python, Bash, PowerShell). Knowledge of containerization & orchestration (Docker, Kubernetes). Experience with monitoring/logging tools (Prometheus, Grafana, Splunk, ELK, CloudWatch). Professional level of English (spoken and written), enabling effective communication across international teams. Excellent More ❯

compliance. Excellent communication skills, with the ability to work effectively across multidisciplinary teams and stakeholders. Strong problem-solving skills and a pragmatic approach to delivering solutions. Desirable Experience with containerisation and orchestration tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure More ❯

CI/CD pipelines (e.g. Jenkins, GitLab CI) Source control management tools (e.g. Perforce, Git) Configuration management tools (e.g. Chef, Ansible, Terraform, Packer) Cloud platforms (e.g. AWS, GCP, Azure) Containerization technologies (e.g. Docker, Kubernetes) Secrets management tools (e.g Vault) Artifact repositories (e.g. Artifactory, NPM, NuGet) Virtualization environments and tools (e.g. VMs, vSphere) Data and Observability tools (e.g. Splunk, Grafana, New More ❯

dispersed engineering teams heads) in global banks. Experience with Microsoft-based legacy systems (.NET, C#, SQL, Azure, on-prem/cloud) and emerging technologies including Linux, Java, microservices, and containerisation (Docker, Kubernetes, Helm, Camunda). Proficiency in CI/CD pipelines (Jenkins), version control (GitHub/GitLab/BitBucket), backend/frontend frameworks (Spring Boot, Angular, React), cloud and data More ❯

Duration: 05 months 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 We More ❯

Spring Boot) technologies Proven experience designing, building and testing end-to-end web applications Strong understanding of relational databases and query performance (PostgreSQL/MySQL) Exposure to DevOps and containerisation tools (e.g., Docker, GitHub Actions, Jenkins) Ability to work confidently in both Windows and Linux environments Degree in Computer Science, Engineering, or related field - or equivalent practical experience Excellent communication More ❯

imaging, etc.). Essential Skills and Experience Proven experience as an MLOps Engineer, Platform Engineer, or DevOps Engineer supporting ML or data science teams. Strong hands-on experience with containerization (Docker) and orchestration (Kubernetes) . Expertise in Terraform , Infrastructure as Code (IaC), and cloud provisioning (OCI, AWS, GCP, or Azure). Solid understanding of CI/CD pipelines and automated More ❯

architecture, and development methodologies. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Expertise in architectural design, data pipelines, cloud platforms, and API development. Knowledge of microservices and containerisation (Docker, Kubernetes). Experience with security best practices and compliance standards. Familiarity with agile methodologies and agile delivery. Experience with SOLID principles and application architecture design. Proficiency in C# (.NET More ❯

architecture, and development methodologies. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Expertise in architectural design, data pipelines, cloud platforms, and API development. Knowledge of microservices and containerisation (Docker, Kubernetes). Experience with security best practices and compliance standards. Familiarity with agile methodologies and agile delivery. Experience with SOLID principles and application architecture design. Proficiency in C# (.NET More ❯

Nice to Have: Experience implementing data governance and observability stacks (lineage, data contracts, quality monitoring). Knowledge of data lake formats (Delta Lake, Parquet, Iceberg, Hudi). Familiarity with containerisation and streaming technologies (Docker, Kubernetes, Kafka, Flink). Exposure to lakehouse or medallion architectures within Databricks. More ❯

enabling you to excel in a customer facing environment. Desirable An appreciation for both no code/low code, and wider software development UNIX/Linux/Shell Scripting Containerization (Docker, Kubernetes, etc) eCommerce industry experience/configuring connectors with the likes of Shopify or similar Experience of working with iPaaS platforms in an Enterprise environment from either independent vendors More ❯

enabling you to excel in a customer facing environment. Desirable An appreciation for both no code/low code, and wider software development UNIX/Linux/Shell Scripting Containerization (Docker, Kubernetes, etc) eCommerce industry experience/configuring connectors with the likes of Shopify or similar Experience of working with iPaaS platforms in an Enterprise environment from either independent vendors More ❯

supporting pricing, revenue, and market analytics. Play a key role in maintaining and optimising the business's data warehouse and dynamic pricing model . Gain exposure to Azure cloud , containerisation, and DevOps best practices . Salary up to £75,000 with flexible, remote-first working. What you'll be doing: Managing and maintaining a Python-based data warehouse , ensuring reliable More ❯

LLM & Agent Expertise: Hands-on experience with LLMs (OpenAI, Anthropic, Mistral) and agent frameworks. Advanced Tools: Familiarity with vector databases, RAG pipelines, prompt engineering, REST APIs, cloud deployment, and containerization (Docker/Kubernetes). Domain Knowledge: Experience in one or more business domains such as finance, housing, operations, or customer service. Preferred Extras: Degree in Computer Science, AI, Data Science More ❯

abilities and 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 More ❯

resilient, maintainable code with a strong focus on automated testing (unit, integration, functional, end-to-end, visual regression, Lighthouse). Collaborate on DevOps practices: CI/CD (Jenkins, Concourse), containerisation, Helm chart authoring, and Kubernetes deployments. Work within a cross-functional Agile team, contributing to technical direction, code reviews, and process improvements. Ensure code is performant, secure, observable, and aligned More ❯

What we're looking for Proven delivery of secure, scalable technical products. Background in backend/system architecture and cloud-native development. Familiarity with modern SDLC : CI/CD, containerisation, infrastructure as code. An excellent communicator and problem-solver - calm under pressure, collaborative by nature. Willingness to work hybrid from our Maidenhead or London offices (minimum 3 days per week More ❯

DevOps practices on Azure Experience working in Agile/Scrum teams Excellent problem-solving and communication skills Bonus Skills (Nice to Have): Knowledge of Azure API Management Experience with containerisation (Docker, Kubernetes) Familiarity with message-based architectures (e.g., Azure Service Bus) Contract Details: Outside IR35 Hybrid/remote (UK-based Candidates) Initial 3-6 month contract with potential of extension More ❯

systems (MySQL, PostgreSQL) and ORM tools. Familiarity with version control systems (Git) and CI/CD pipelines. Basic understanding of Laravel framework Experience with cloud services (AWS, Azure) and containerization (Docker). Understanding of DevOps practices. More ❯

performance, and ensure reliability across cloud platforms-while guiding teams with strong technical leadership.Key Responsibilities* Pipeline Automation: Build and orchestrate data workflows using tools like Airflow, Prefect, or Dagster.* Containerization: Package and deploy data applications using Docker and Kubernetes (including EKS and AKS).* CI/CD for Data: Implement and maintain automated pipelines for data applications.* Monitoring & Observability: Deploy More ❯

front-end frameworks (e.g., React, Angular, Vue.js) and back-end languages (e.g., Node.js, Python, Java). Hands-on experience with databases (SQL and NoSQL), cloud platforms (Azure/AWS), containerisation (Docker), and CI/CD pipelines. Experience implementing AI in a business context—such as integrating AI APIs/services, developing AI-powered features, or utilizing AI-assisted development tools More ❯

Join a forward-thinking digital consultancy team delivering cutting-edge solutions across industries. This role sits within a collaborative, agile environment focused on innovation, professional growth, and real-world impact. Role Overview As a Full Stack Engineer, you'll design More ❯

web applications and APIs Develop scalable systems using Python (Django, FastAPI, Flask) Deploy and manage applications across on-premise and cloud environments Implement CI/CD, automated testing, and containerisation best practices Collaborate closely with R&D, operations, and scientific teams to ensure reliability and performance You’ll Succeed If You Have Strong, production-level experience with Python A background More ❯

years' experience in cloud engineering, ideally with ML-related workloads Proficiency in scripting (Bash, PowerShell, Python) Start-up/Scale-up Experience Strong cloud skills (AWS, GCP, Azure) and containerisation (Docker, Kubernetes) Experience in automating deployments and orchestrating cloud environments Nice to have: Python (Jupyter, PyTorch), monitoring tools (Prometheus, Grafana), cloud databases (RDS, Aurora, Spanner), CI/CD tools (CircleCI More ❯