51 to 75 of 638 Kubernetes Jobs in the UK excluding London

and willing to adapt to changing business needs. Technical Skills Essential: Linux SysAdmin (RHCSA) Infrastructure as Code (Terraform) Scripting (Python or Bash) Cloud networking (VPCs, VPNs, DNS) Containerisation (Docker, Kubernetes) Desirable: Basic database administration (MySQL, MSSQL, Postgres, etc.) AWS services (EC2, RDS, S3, CloudFormation) CI/CD tools (Ansible, Jenkins, GitLab CI, etc. More ❯

and willing to adapt to changing business needs. Technical Skills Essential: Linux SysAdmin (RHCSA) Infrastructure as Code (Terraform) Scripting (Python or Bash) Cloud networking (VPCs, VPNs, DNS) Containerisation (Docker, Kubernetes) Desirable: Basic database administration (MySQL, MSSQL, Postgres, etc.) AWS services (EC2, RDS, S3, CloudFormation) CI/CD tools (Ansible, Jenkins, GitLab CI, etc. More ❯

SoapUI Experience implementing contract testing solutions (e.g., PACT) Familiarity with CI/CD tools such as Jenkins, GitLab CI, or similar Experience testing microservices and containerised applications (e.g., Docker, Kubernetes) Working knowledge of cloud environments (AWS or Azure) Understanding of accessibility testing standards Experience using tools such as Jira and Confluence for documentation and test management More ❯

SoapUI Experience implementing contract testing solutions (e.g., PACT) Familiarity with CI/CD tools such as Jenkins, GitLab CI, or similar Experience testing microservices and containerised applications (e.g., Docker, Kubernetes) Working knowledge of cloud environments (AWS or Azure) Understanding of accessibility testing standards Experience using tools such as Jira and Confluence for documentation and test management More ❯

and other messaging technologies. Develop, deploy, and manage scalable applications on AWS cloud infrastructure. Work with both NoSQL (MongoDB) and SQL databases to optimize data management. Utilize Docker and Kubernetes for container orchestration, scalability, and efficient delivery. Define and manage cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform. Create, maintain, and optimize CI/CD pipelines using More ❯

and other messaging technologies. Develop, deploy, and manage scalable applications on AWS cloud infrastructure. Work with both NoSQL (MongoDB) and SQL databases to optimize data management. Utilize Docker and Kubernetes for container orchestration, scalability, and efficient delivery. Define and manage cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform. Create, maintain, and optimize CI/CD pipelines using More ❯

and other messaging technologies. Develop, deploy, and manage scalable applications on AWS cloud infrastructure. Work with both NoSQL (MongoDB) and SQL databases to optimize data management. Utilize Docker and Kubernetes for container orchestration, scalability, and efficient delivery. Define and manage cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform. Create, maintain, and optimize CI/CD pipelines using More ❯

and other messaging technologies. Develop, deploy, and manage scalable applications on AWS cloud infrastructure. Work with both NoSQL (MongoDB) and SQL databases to optimize data management. Utilize Docker and Kubernetes for container orchestration, scalability, and efficient delivery. Define and manage cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform. Create, maintain, and optimize CI/CD pipelines using More ❯

experience in Python desirable. Proven ability to lead and mentor engineering teams, drive technical excellence, and promote best practices. Experience designing and implementing robust software architectures, including containerisation (Docker, Kubernetes), infrastructure as code, and event-driven systems. Excellent communication and collaboration skills, with the ability to engage stakeholders, contribute to hiring and bid processes, and foster a culture of continuous More ❯

and performance. • Investigate and resolve production incidents, problems, and change requests. • Offer expertise on business processes for projects and production support issues. • Maintain core 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 • Deliver patching, database fixes, and business-critical data correction More ❯

SQL - for data management and optimisation JavaScript - for front-end collaboration Grails - nice to have, not essential Environment & Tools: Cloud: AWS/Azure DevOps: Git, CI/CD, Docker, Kubernetes Agile, collaborative environment with code reviews and shared ownership What You'll Be Doing Designing and developing enterprise-grade Java applications using Spring and Hibernate Collaborating with data scientists to More ❯

and performance. • Investigate and resolve production incidents, problems, and change requests. • Offer expertise on business processes for projects and production support issues. • Maintain core 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 • Deliver patching, database fixes, and business-critical data correction 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 ❯

such as React and Angular Designing, building, and maintaining CI/CD pipelines Big data technologies, such as NiFi, Hadoop, Spark Cloud and containerization technologies such as AWS, OpenShift, Kubernetes, Docker DevOps methodologies, such as infrastructure as code and GitOps Database technologies, e.g. relational databases, Elasticsearch, Mongo Why join Gemba? Gemba is built upon four core values that we believe More ❯

and agreeing the design inclusive of the trade-offs for commodity trading systems. Familiarity with core AWS product offerings; code development (C#/Java); microservice containerization tools (Docker, OpenShift, Kubernetes); web UI development (React). Must understand Infrastructure as a Code (Terraform) Integration - Expert experience with integration techniques, including real-time messaging (AMQ), API design (JSON, Swagger), and batch techniques. More ❯

Redux/Context). - Proven experience designing and consuming RESTful/gRPC APIs. - Good SQL knowledge and experience with a relational DB (Postgres preferred). - Experience with containerisation (Docker); Kubernetes desirable. - Familiarity with CI/CD tooling (GitHub Actions, GitLab CI, CircleCI, etc.). - Automated testing experience (unit/integration/e2e). - Good engineering practices: code reviews, TDD/ More ❯

tight timelines. Strong communication skills, able to motivate and align technical teams. Experience with AI tools, APIs, or ML pipelines is highly desirable. Bonus: exposure to containerisation (Docker/Kubernetes), event-driven architecture (Kafka/RabbitMQ), or startup environments. What We Offer Hybrid working as standard 25 days annual leave + bank holidays Flexible holiday scheme Paid time off to More ❯

Software Engineering Leaders: Lead the design and development of robust full-stack applications and APIs (Python/Django/Flask, React). Champion DevOps practices (CI/CD, Docker, Kubernetes) and cloud-native architectures (AWS, Azure, GCP). Guide cross-functional teams through agile delivery, technical planning, and product development. Translate business requirements into scalable technical solutions that support critical More ❯

Software Engineering Leaders: Lead the design and development of robust full-stack applications and APIs (Python/Django/Flask, React). Champion DevOps practices (CI/CD, Docker, Kubernetes) and cloud-native architectures (AWS, Azure, GCP). Guide cross-functional teams through agile delivery, technical planning, and product development. Translate business requirements into scalable technical solutions that support critical More ❯

Software Engineering Leaders: Lead the design and development of robust full-stack applications and APIs (Python/Django/Flask, React). Champion DevOps practices (CI/CD, Docker, Kubernetes) and cloud-native architectures (AWS, Azure, GCP). Guide cross-functional teams through agile delivery, technical planning, and product development. Translate business requirements into scalable technical solutions that support critical More ❯

end-to-end delivery - from prototyping to production release. Build and optimize RAG pipelines, LLM integrations, and orchestration workflows Deploy and monitor AI workloads in containerized cloud environments (Docker, Kubernetes, AWS/GCP/Azure) Participate in code reviews, architecture discussions, and mentor junior engineers Collaborate cross-functionally with data science, product, and operations teams Champion responsible AI practices and More ❯

availability and backup solutions. Hands-on experience managing cloud providers, with significant experience in AWS and Google Cloud Platform (GCP). Familiarity with GCP services such as Compute Engine, Kubernetes Engine (GKE), Cloud Storage, BigQuery, and IAM. Familiarity with configuration management and IT automation tools. Strong understanding of DevOps and SRE principles. Soft Skills: Self-motivated, highly organised, and capable More ❯

AI to build the financial ecosystem of the future. We're evolving towards: A Cloud-Native, DevOps-First Culture - Moving towards a fully cloud-hosted, automated platform built with Kubernetes, Kafka, and Infrastructure as Code (IaC). A Real-Time Financial Ecosystem - Shifting from data at rest to data in motion, embracing event-driven architecture to power the real-time More ❯

Power BI or Apache Superset Experience with other cloud data platforms like AWS, GCP or Oracle Experience with modern unified data platforms like Databricks or Microsoft Fabric Experience with Kubernetes for container orchestration Understanding of streaming technologies (Apache Kafka, event-based architectures) Software engineering background with SOLID principles understanding Experience with high-performance, large-scale data systems Knowledge of recent More ❯

Power BI or Apache Superset Experience with other cloud data platforms like AWS, GCP or Oracle Experience with modern unified data platforms like Databricks or Microsoft Fabric Experience with Kubernetes for container orchestration Understanding of streaming technologies (Apache Kafka, event-based architectures) Software engineering background with SOLID principles understanding Experience with high-performance, large-scale data systems Knowledge of recent More ❯