1 to 25 of 98 Containerisation Jobs in the Thames Valley

mandatory). Strong background as a Java Architect/Senior Java Developer with architecture responsibilities . Proven experience with: Java 11+/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integration patterns and secure system design. More ❯

modelling). Experience with cloud platforms (AWS, Azure, or GCP). Strong knowledge of SQL and database design. Excellent problem-solving and communication skills. Familiarity with CI/CD, containerisation (Docker, Kubernetes), and modern DevOps practices. Exposure to regulatory reporting, compliance systems, or financial services technology. Experience with big data tools and the modern data stack (e.g., dbt, Airflow, Kafka More ❯

operations teams to streamline deployment processes 🧠 What We’re Looking For: Proven experience in DevOps roles within agile environments Strong scripting skills (Python, Bash, etc.) Hands-on experience with containerization (Docker, Kubernetes) Familiarity with observability tools (Prometheus, Grafana, ELK) Excellent problem-solving and communication skills ✅ Bonus Points: Experience with security and compliance in cloud environments Knowledge of serverless architecture Previous More ❯

Pulsar, or similar). Strong understanding of REST APIs and integration patterns. Experience with cloud environments (AWS, Azure, or GCP). Good knowledge of CI/CD tools and containerisation (Docker, Kubernetes). Understanding of system design, distributed systems, and data streaming. Strong problem-solving skills, with the ability to work independently in a fast-paced environment. Desirable Skills Experience More ❯

and RESTful APIs . Frontend: Expertise in React , TypeScript , HTML5 , CSS3 , and other modern frontend frameworks. DevOps: Familiarity with CI/CD tools such as GitHub , Jenkins , Harness , and containerization using Docker and Kubernetes . Cloud Platforms: Experience with cloud environments, preferably Google Cloud Platform (GCP) . Automation & Testing: Hands-on experience with automated testing frameworks like Jest , Cypress , and More ❯

and share results clearly. Nice to Have: Exposure to video, media, or codec technologies (encoding/decoding, quality metrics such as VMAF/PSNR/SSIM). Experience with containerisation (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Familiarity with BDD frameworks (Cucumber, Spock). Background in data science/analytics to interpret and visualise results. Interest in AI More ❯

CI/CD pipeline tools, Jenkins, Gitlab or similar Scripting – Bash, Python or Perl and some experience/exposure to IaC tools such as Ansible or Terraform Exposure to containerisation and orchestration platforms eg. Kubernetes and Docker Ability to travel – UK (driving licence required) and international You will need to be a proactive individual who will relish the opportunity to More ❯

CI/CD pipeline tools, Jenkins, Gitlab or similar Scripting – Bash, Python or Perl and some experience/exposure to IaC tools such as Ansible or Terraform Exposure to containerisation and orchestration platforms eg. Kubernetes and Docker Ability to travel – UK (driving licence required) and international You will need to be a proactive individual who will relish the opportunity to More ❯

or high-frequency environments. Proficiency in developing RESTful APIs, microservices, and working with cloud-based architectures (AWS, GCP, or similar). Expertise in testing frameworks, CI/CD, and containerization technologies such as Docker or Kubernetes. Experience in managing and deploying services in Linux/Unix environments. Strong analytical and problem-solving skills, with a keen attention to detail and More ❯

AI/codec workflows, including ML inference and neural compression pipelines. Requirements: Hands-on experience with CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, etc.). Proficiency in containerisation and orchestration (Docker, Kubernetes). Experience with cloud GPU infrastructure (AWS, Azure, GCP) and IaC (Terraform, Ansible). Familiarity with GPU workflows (CUDA, SYCL, Vulkan, OpenCL) or HPC performance optimisation. More ❯

Experience · Strong expertise in AWS services (e.g., EC2, S3, RDS, Lambda) and/or Azure. · Hands-on experience with Infrastructure as Code tools (Terraform, ARM, BICEP). · Proficiency in containerisation and orchestration (Docker, Kubernetes/EKS). · Skilled in scripting languages such as Python, Bash, PowerShell, or TypeScript. · Solid understanding of Linux, Windows, and storage systems. · Experience with monitoring and 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 ❯

work in a collaborative, Agile environment. Desirable Skills Azure certification(s) (e.g., AZ-104, AZ-305, AZ-400). Experience with hybrid cloud and on-premises integrations. Familiarity with containerization (Docker, Kubernetes). Knowledge of cost optimization and FinOps in Azure. More ❯

integration with HR systems Experience implementing or managing CI/CD pipelines (e.g., GitHub Actions, Azure DevOps). Experience with automated testing tools like Selenium or Playwright. Familiarity with containerisation technologies (e.g., Docker). Experience with cloud platforms (e.g., AWS, Azure). Benefits: Competitive Base Salary Hybrid Working Private Healthcare 33 Days Holiday 37.5 Hour work weeks - flexi-hours Great More ❯

Mindset: Startup-ready, pragmatic, problem-solver with a "get things done" attitude. Preferred BackgroundExposure to property, fintech, or marketplace platforms. Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes). Understanding of modern security practices and performance optimization. Compensation & Benefits: Competitive salary with the potential for equity options based on performance, recognising exceptional contributions to our More ❯

with data modeling, ETL processes, and data warehousing concepts. Knowledge of infrastructure-as-code tools (e.g., Terraform or CloudFormation) and CI/CD pipelines. Familiarity with DevOps practices and containerisation tools (e.g., Docker). Excellent problem-solving skills and ability to work in fast-paced, agile project environments. Strong communication skills with the ability to explain complex technical concepts to 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 applying AI in a business setting—such as integrating AI APIs/services, building AI-powered features, or using AI-assisted development tools More ❯

Solid understanding of DevOps, CI/CD, infrastructure as code, and cloud platforms. Excellent communication skills and a passion for mentoring others. Experience with microservices, event-driven systems, and containerisation (Docker, Kubernetes) - DESIRABLE Background in product management or user-centred design - DESIRABLE Familiarity with performance optimisation and data modelling - DESIRABLE What you'd be doing: Leading the design and delivery More ❯

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 ❯

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 ❯

provisioning and configuration using Infrastructure as Code (IaC) tools. Mentor junior engineers, contribute to DevOps practices, and support incident response and service improvement initiatives. Technical Skills Azure Tenant Ansible Containerisation (Docker/Podman) Powershell Python Linux Hypervisor (Proxmox) PKI zScaler DNS IP management GitHub CI/CD pipelines If you're interested in the above, apply or reach out to More ❯

one or more of: .NET, Java, Go, Node.js Frontend experience with React, Vue, or Angular Solid experience with AWS and cloud-native architectures Familiarity with CI/CD, Terraform, containerisation (Docker/K8s) A TDD and best practices mindset – you care about clean, maintainable code Excellent communication skills – able to explain complex solutions clearly Previous experience in a consultancy or More ❯

directional communication protocols and patterns (eg. WebSockets, SSE) Designed and implemented event-driven distributed systems (eg. Kafka/Pulsar, RabbitMQ, MQTT, or similar) Experience with container orchestration and service containerisation (Kubernetes, Docker) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) AI-Native development: use AI tools such as CoPilot or Cursor a collaborator and accelerator More ❯

or computer science * Strong Python development skills * Practical experience with machine learning or deep learning in scientific/engineering contexts * Familiarity with MLOps tools and practices (Airflow, MLflow) and containerisation (e.g., Docker) * Passion for working with real-world datasets and data visualisation * Interest in material discovery, computer vision, big data, and optimisation techniques * Excellent communication and collaboration skills * Problem-solving 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 ❯