1 to 25 of 112 Permanent Kubernetes Jobs in the North West

embedded in solutions Key Skills & Experience Required Automation & Tooling CI/CD tools and pipeline development (e.g. Jenkins, GitLab, Bamboo) Infrastructure as Code (Terraform, Ansible, etc.) Orchestration and containerisation (Kubernetes, Docker) Scripting in Python, Bash, or similar Experience with cloud platforms (AWS, Azure, or private cloud) DevOps & Systems Engineering Solid understanding of Linux or Windows system administration Familiarity with cloud More ❯

Engineer will have: • 4+ years of software engineering experience • Strong hands-on skills in Java, Node.js, and/or Python • Experience with cloud-native development and containerisation (e.g., Docker, Kubernetes) • Solid understanding of RESTful APIs, microservices architecture and best practices • Familiarity with Agile methodologies and DevOps toolchains • Great communication and team collaboration skills Bonus experience includes: • React or other modern More ❯

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, Flux). CI/CD - Skilled in building and managing pipelines using Azure DevOps More ❯

data governance, and regulatory standards. What you'll need Proven experience in software engineering, data engineering, or solutions architecture Java and JSPs Spring Boot Microservices, REST APIs Containerisation (Docker, Kubernetes, Helm) Cloud platforms (GCP preferred; Azure, AWS also valued) Git Atlassian tools e.g. JIRA, Confluence Agile development and CI/CD pipelines Strong leadership and mentoring skills Excellent communication and More ❯

Collaborate with DevOps engineers to set up and maintain CI/CD pipelines for building, testing, and deploying applications and ML models. Containerise applications (Docker) and assist in orchestration (Kubernetes or cloud services) to ensure smooth deployment of scalable solutions. Work closely with data scientists to deploy machine learning models into production environments. Optimise model inference performance (leveraging frameworks like More ❯

with experience in day-to-day deployment and release activities to ensure smooth, incremental delivery to production. Containerisation & Platform Engineering - Proficient with container technologies (e.g. Docker), orchestration tools (e.g. Kubernetes), and service mesh frameworks (e.g. Istio), with a strong interest in diverse programming languages and modern engineering practices. About working for us Our focus is to ensure we're inclusive More ❯

development using frameworks like React, Vue.js, or Angular (preferred but not required). Proficiency with PHP (desirable) Experience working with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Strong understanding of CI/CD pipelines, DevOps practices, and software deployment strategies. Working knowledge of database technologies (SQL and NoSQL) and performance optimization techniques. Experience in software testing More ❯

with experience in day-to-day deployment and release activities to ensure smooth, incremental delivery to production. Containerisation & Platform Engineering - Proficient with container technologies (e.g. Docker), orchestration tools (e.g. Kubernetes), and service mesh frameworks (e.g. Istio), with a strong interest in diverse programming languages and modern engineering practices. About working for us Our focus is to ensure we're inclusive More ❯

with experience in day-to-day deployment and release activities to ensure smooth, incremental delivery to production. Containerisation & Platform Engineering - Proficient with container technologies (e.g. Docker), orchestration tools (e.g. Kubernetes), and service mesh frameworks (e.g. Istio), with a strong interest in diverse programming languages and modern engineering practices. About working for us Our focus is to ensure we're inclusive More ❯

preferred). 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 More ❯

and delivery-focused mindset, comfortable leading from both a technical and team development perspective. Desirable: Experience building and running containerised, cloud-native applications in production (especially in GCP or Kubernetes). Familiarity with infrastructure-as-code and automation using tools like Terraform. More ❯

as Django, Flask, or FastAPI. Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with cloud platforms (AWS, GCP, or Azure). Experience with containerization tools (Docker, Kubernetes is a plus). Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Bachelor's degree in Computer Science or a related field (or equivalent experience More ❯

as Django, Flask, or FastAPI. Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with cloud platforms (AWS, GCP, or Azure). Experience with containerization tools (Docker, Kubernetes is a plus). Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Bachelor's degree in Computer Science or a related field (or equivalent experience More ❯

performance. Investigate and resolve production incidents, problems, and change requests. Offer expertise on business processes for projects and production support issues. Maintain core Insurance systems and related infrastructure like Kubernetes and SOLR. Improve batch efficiency and reduce costs, including audit-ready data archiving strategies. Provide data analysis to support business decisions across Operations and Claims. Deliver patching, database fixes, and More ❯

developing software in Java, JavaScript or Python Understanding of Cloud-based architectures in AWS or Azure Use of DevOps Automated Deployment tools such as Jenkins, Gitlab, Docker, OpenShift or Kubernetes Understanding of database technologies such as SQL, Elasticsearch or MongoDB Role clearance type: You must currently hold the highest level of UK Government clearance Our requirement team is on hand More ❯

TDD, BDD, Playwright). What you'll need Understanding of AI systems. Java with SpringBoot or python. ReactJS or knowledge of JavaScript, Nodejs, TypeScript. Delivering production grade ML models. Kubernetes and container management. Building RESTful services and Web UI. Exposure to continuous integration/continuous deployment pipelines and test automation. Exposure to public cloud infrastructure, data streaming and Spanner DB. More ❯

ll help you with them AWS Certification at Associate level eg Solution Architect, Developer or DevOps Expertise in microservices and API design Docker, and container runtime platforms such as Kubernetes, EKS, ECS etc Strong understand of operational concepts on AWS, particularly monitoring and observability, FinOps UtilisingCI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline delivery More ❯

for automation and integration tasks. Security Practices - patch management, vulnerability remediation, and hardening processes. Process Alignment - knowledge of ITIL-aligned Incident, Change, and Problem Management processes. Nice to have Kubernetes - automation of container platform deployment and configuration. Terraform - infrastructure provisioning and infrastructure-as-code practices. VMware - automation of VM lifecycle and integration into deployment workflows. GitOps workflows, CI/CD More ❯

DevOps environments, driving quality through architecture. Research, prototype, and evaluate emerging technologies to stay ahead of the curve. Technology Environment .NET Core/C# AWS (preferred), Azure, GCP Docker, Kubernetes, container orchestration Microservices, RESTful APIs Event-driven architectures SQL and NoSQL technologies CI/CD, Infrastructure as Code Scalable, cloud-native, distributed systems What Were Looking For A background in More ❯

and performance optimization Excellent communication, leadership, and decision-making skills A mindset for innovation, problem-solving, and continuous improvement Bonus Points For Experience in microservices architecture and containerization (Docker, Kubernetes) Exposure to CI/CD pipelines and DevOps practices Background in agile methodologies and delivery management Contributions to open-source Java libraries or frameworks Why Join Them? Work with brilliant More ❯

fuzzing-you'll own it. We are excited if you have Proficient Software Engineering experience. Programming/scripting skills: Go or Python Proven track record of deploying and operating Kubernetes and containers in production. Experience building, managing, and debugging CI/CD pipelines. Experience securely running and operating web applications, web services, and service-oriented architecture in production environments. Extensive More ❯

multiple programming languages and frameworks. Some other highly valued skills may include DevOps and Automation: Proficiency in DevOps practices and tools, such as CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (Terraform, Ansible). Security and Compliance : Strong understanding of security best practices and regulatory compliance requirements. Collaboration and Communication: Excellent collaboration and communication skills to work More ❯

Agile Methodologies: Champion agile development practices, including continuous integration and test automation (TDD, BDD, Playwright). What you'll need Understanding of AI systems. Java with SpringBoot or python. Kubernetes and container management. Building RESTful services and Web UI. Exposure to continuous integration/continuous deployment pipelines and test automation. Exposure to public cloud infrastructure, data streaming and Spanner DB. More ❯

help you with them Machine Learning softwaree.g. Amazon and Azure machine learning, or Google'sTensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible How we will support you Work-life balance is important; you can work around core hours with flexible More ❯

DevOps Engineer with a software development background, specifically in .NET/C#. Essential:Scripting & Programming (Bash, Python, Go, Java or similar) for automation scriptsSome knowledge of Containerization & Orchestration (Docker, Kubernetes, OpenShift)CI/CD Pipeline Management: Experience with Teamcity, Jenkins, GitLab CI/CD, Nexus, Nolio and similar toolsInfrastructure Management: Proficiency with managing infrastructure - Linux and Windows systems, manage Load More ❯