1 to 25 of 203 Jenkins Jobs in London

Languages: Java and Python (with some Legacy Delphi) Frameworks: Spring Boot, Flask, Django Cloud & Hosting: AWS and OpenShift (container-based environments) Containers & DevOps: Docker, Kubernetes, CI/CD pipelines (Jenkins, GitHub/GitLab) Databases: PostgreSQL (primary), with some Oracle and SQL Server Legacy systems Version Control: Git and GitHub (enterprise) Testing: JUnit, PyTest, Selenium, and Cucumber for automation Monitoring & Tooling More ❯

Languages: Java and Python (with some legacy Delphi) Frameworks: Spring Boot, Flask, Django Cloud & Hosting: AWS and OpenShift (container-based environments) Containers & DevOps: Docker, Kubernetes, CI/CD pipelines (Jenkins, GitHub/GitLab) Databases: PostgreSQL (primary), with some Oracle and SQL Server legacy systems Version Control: Git and GitHub (enterprise) Testing: JUnit, PyTest, Selenium, and Cucumber for automation Monitoring & Tooling More ❯

one or more programming or scripting languages (e.g., Python , Go , React ). Knowledge of containerisation and orchestration (e.g., Docker , Kubernetes , OpenShift ). Experience with CI/CD pipelines (e.g., Jenkins, TeamCity, Concourse). Familiarity with web/application servers such as NGINX, Apache, or JBoss. Exposure to monitoring and logging tools (ELK, Nagios, Splunk, DataDog, New Relic, etc.). Understanding More ❯

one or more programming or scripting languages (e.g., Python , Go , React ). Knowledge of containerisation and orchestration (e.g., Docker , Kubernetes , OpenShift ). Experience with CI/CD pipelines (e.g., Jenkins, TeamCity, Concourse). Familiarity with web/application servers such as NGINX, Apache, or JBoss. Exposure to monitoring and logging tools (ELK, Nagios, Splunk, DataDog, New Relic, etc.). Understanding More ❯

SRE), or platform operations. Strong knowledge of Linux/Unix and Windows environments. Familiarity with cloud 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 More ❯

engineering (SRE), or platform operations. Strong knowledge of Linux/Unix and Windows environments. Familiarity with 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 More ❯

or OpenShift (PaaS) for container orchestration and deployment. CI/CD & Cloud Environments Continuous Integration/Delivery: Experience with Cloud Native CI/CD solutions or tools such as Jenkins and Concourse. Cloud Platforms: Hands-on knowledge of AWS, Azure, or equivalent services to build, deploy, and manage environments. System Design & Deployment Unix-Based Solutions: Proven experience designing, deploying, and More ❯

or OpenShift (PaaS) for container orchestration and deployment. CI/CD & Cloud Environments Continuous Integration/Delivery: Experience with Cloud Native CI/CD solutions or tools such as Jenkins and Concourse. Cloud Platforms: Hands-on knowledge of AWS, Azure, or equivalent services to build, deploy, and manage environments. System Design & Deployment Unix-Based Solutions: Proven experience designing, deploying, and More ❯

or OpenShift (PaaS) for container orchestration and deployment. CI/CD & Cloud Environments Continuous Integration/Delivery: Experience with Cloud Native CI/CD solutions or tools such as Jenkins and Concourse. Cloud Platforms: Hands-on knowledge of AWS, Azure, or equivalent services to build, deploy, and manage environments. System Design & Deployment Unix-Based Solutions: Proven experience designing, deploying, and More ❯

or OpenShift (PaaS) for container orchestration and deployment. CI/CD & Cloud Environments Continuous Integration/Delivery: Experience with Cloud Native CI/CD solutions or tools such as Jenkins and Concourse. Cloud Platforms: Hands-on knowledge of AWS, Azure, or equivalent services to build, deploy, and manage environments. System Design & Deployment Unix-Based Solutions: Proven experience designing, deploying, and More ❯

Extensive experience of building microservices with Java (Spring Boot) (and NodeJS as a bonus) Experience with cloud technologies such AWS or Azure Experience with CI/CD (Gitlab, GitHub, Jenkins) Experience using version control software - Git Experience using online version control tools – Bitbucket, GitHub, GitLab etc Experience using Docker, Docker Compose Experience working in an agile team environment Must be More ❯

engineers experienced with excellent comprehension of modern engineering from toolsets to methods, practices to technologies. High level and deep technical experience with continuous integration, continuous delivery/deployment, particularly Jenkins Uses testing as a baseline practice: TDD, BDD, integration, E2E Understands the challenges presented and how to tackle monolithic system estates through the introduction of APIs, microservices and gateways Hands More ❯

understanding of DevSecOps practices, secure SDLC and proficient in threat modeling and secure design review. Proficiency in automating security checks within the CI/CD pipeline using tools like Jenkins, GitLab, and Ansible is vital. Knowledge of secure coding practices and common developer pitfalls. Scripting for testing/automation (Python, Bash, Go). Experience with cloud-native architectures (Docker, Kubernetes More ❯

with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure certifications related to data engineering (e.g., Azure Data Engineer Associate). More ❯

with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure certifications related to data engineering (e.g., Azure Data Engineer Associate). More ❯

with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure certifications related to data engineering (e.g., Azure Data Engineer Associate). More ❯

with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure certifications related to data engineering (e.g., Azure Data Engineer Associate). More ❯

3+ years) Hands-on experience with API testing tools such as RestAssured or 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 More ❯

3+ years) Hands-on experience with API testing tools such as RestAssured or 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 More ❯

and clients. Evolve infrastructure to support hybrid 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 More ❯

and clients. Evolve infrastructure to support hybrid 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 More ❯

IaC), automation, deployment, configuration, management and scaling. Network infrastructure automation using DevOps practices. Strong hands-on experience with: Terraform, Ansible, or similar IaC tools CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps) AND Cloud platforms (AWS, Azure, or GCP) Solid understanding of networking concepts (TCP/IP, DNS, routing, VPNs, firewalls). Familiarity with monitoring and logging tools More ❯

Extract, Transform, Load) Integrating Tableau with AWS services Amazon EKS (Elastic Kubernetes Service) Infrastructure as Code, scripting (Python/Bash), Helm charts, Docker, Kubernetes Tools like Terraform, Ansible, and Jenkins CI/CD pipelines, DevOps tools, and practices Desirable Skills/Knowledge/Experience: Excellent written and verbal communication skills Strong attention to detail and outstanding analytical and problem-solving More ❯

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 platforms (Azure Databricks, Data Lake), monitoring, logging, and test automation tools to More ❯

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 platforms (Azure Databricks, Data Lake), monitoring, logging, and test automation tools to More ❯