26 to 50 of 126 Containerisation Jobs in the South East

science Good knowledge of object-oriented programming Highly effective communicator who encourages innovation through collaboration Natural problem-solver with a desire to learn Organised and self-motivated Desirable skills Containerisation ASP.NET Core including Blazor JavaScript or TypeScript including React Programming with 3D geometry. WPF Machine learning model development CI/CD Infrastructure as Code (Iac) using Terraform for management of More ❯

e.g., Terraform, Ansible). Strong leadership and project management skills with the ability to manage complex projects and teams. Proficiency in scripting languages (PowerShell, Bash, Python). Familiarity with containerization technologies (Docker, Kubernetes) is a plus. Experience with security frameworks and maintaining compliance (ISO 27001, CE+). Excellent problem-solving, communication, and documentation skills. Qualifications: Bachelors degree in computer science More ❯

Do you bring a Devops approach and are you familiar with Infrastructure as Code and Terraform, as well as Containerisation, Kubernetes and Openshift? A role with plenty of scope to innovate and develop our approach, ensuring we design and implement new solutions that are fit for purpose, cost effective and will scale as we do. Work with a diverse range More ❯

data quality monitoring. Familiarity with modern data lake table formats such as Delta Lake, Iceberg, or Hudi. Background in stream processing (Kafka, Flink, or similar ecosystems). Exposure to containerisation and orchestration technologies such as Docker and Kubernetes. More ❯

skillset may include: Extensive technical expertise across multiple platform domains, with a track record of delivering secure solutions Windows and Linux operating systems Virtualisation platforms (VMware, Hyper-V) and containerisation (Kubernetes, Docker) Networking concepts (TCP/IP, DNS, DHCP, firewalls) Automation and scripting (e.g. PowerShell, Bash, Python, Ansible, Terraform) Knowledge of cybersecurity controls and accreditation requirements Expertise with cloud platforms More ❯

management.o Design and manage Azure DevOps CI/CD pipelines for secure and efficientsoftware delivery.o Deploy microservices using AWS ECS, ECR, and Fargate, ensuring secure andscalable architecture. Development & Containerization:o Proficiency in Python and Node.js for developing secure, scalableapplications.o Hands-on experience with Docker for containerizing applications andmanaging secure container environments.  API Management & Analytics:o Strong knowledge of More ❯

services. Familiarity with big data technologies such as Parquet, Iceberg, and streaming platforms like Kafka. Strong knowledge of database systems, SQL data model design, and query optimization. Experience with containerization using Kubernetes and Docker. Proven ability to deliver scalable and performant data services using microservice architectures. Experience developing scalable architectures using containerized and serverless approaches such as Oracle Functions and More ❯

Azure, AKS, Cloud Computing, IaC, Terraform, Ansible, Powershell, C#, Azure DevOps, Kubernetes, Containerisation, CI/CD Our client is looking to grow their Cloud teams with 2 additional permanent recruits. Experience in Enterprise sized Azure Infrastructures needed, coupled with: Some IaC (Terraform/Ansible) AKS Some completed Azure certifications are expected to show your desire to work in this space. More ❯

in Java, Spring/Spring Boot, Hibernate/JPA, and RESTful APIs. Strong experience with front-end technologies such as Angular, React, or Vue.js. Solid understanding of microservices architecture, containerization (Docker/Kubernetes), and cloud platforms (AWS, Azure, or GCP). Active Enhanced DV Clearance 8+ years of professional experience in software development, with at least 3 years in a More ❯

code tools such as Terraform or CloudFormation Exposure to Apache Spark for distributed data processing Familiarity with workflow orchestration tools such as Airflow or AWS Step Functions Understanding of containerisation using Docker Experience with CI/CD pipelines and automated deployment processes Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive More ❯

a culture of quality and continuous improvement Essential experience Strong knowledge of coding concepts and modern engineering practices Cloud expertise (AWS preferred) with infrastructure-as-code (Terraform/CloudFormation) Containerisation and orchestration (Docker, Kubernetes) Modern development frameworks (React, Node.js, Next.js, Python) Databases such as DynamoDB, MongoDB, or RDS CI/CD pipelines (GitHub Actions) Identity and access management (SSO, federated 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 ❯

data governance. AWS certifications (e.g., AWS Certified Solutions Architect - Professional). Expertise in cloud security, IAM, encryption, and secure networking. Experience with CI/CD pipelines, DevOps practices, and containerization (Docker, Kubernetes). Proficiency in scripting languages (Python, Bash) and automation tools. Excellent communication and stakeholder management skills. Desirable: Experience with financial data platforms (e.g., Bloomberg, Refinitiv). Knowledge of More ❯

in the development of machine learning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker) A passion for gaining insight into real-world datasets and clearly communicating through data visualization techniques Interest in material discovery, computer vision, handling big data and optimisation techniques 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 ❯

Scripting skills in bash or similar. Advanced knowledge of configuration management tools (e.g., Puppet, Chef, Ansible). Expertise in CI/CD best practices and tooling. Proficiency with Git. Containerisation experience (Docker on Linux). Advanced knowledge of Infrastructure as Code tools (Terraform, CloudFormation, Ansible). Monitoring and observability experience with tools like Grafana, Elastic, StatusCake, PagerDuty. Strong ability to 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 ❯

AWS GovCloud, TSE, ADC, Azure Government, Azure Local), and other on-premises systems (VMware, Nutanix, Hyper V). Extensive experience with secure cloud architecture patterns, infrastructure-as-code (IaC), containerisation, and DevSecOpspractices. Strong understanding of networking principles, security protocols, encryption technologies, and identity and access management in cloud environments. Excellent understanding of software development lifecycles and agile methodologies. Soft Skills 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 ❯

8+ years of experience in modern programming languages, preferably Java and TypeScript, working with a variety of technologies, including ReactJS, MongoDB, PostgreSQL. Experience using Kubernetes, Docker, and Jenkins, for containerisation and CI/CD is a plus. Knowledge of scalable distributed systems with a deep understanding of object-oriented design and design patterns. Knowledge of designing APIs and microservices. Experience 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 ❯