1 to 25 of 54 Jenkins Jobs in the North West

and reliable platforms that meet demanding operational needs. Lead on technical design decisions, ensuring performance, security, and scalability. Build and maintain CI/CD pipelines using tools such as Jenkins, Bamboo, or Bitbucket . Write clean, maintainable, and efficient code in one or more languages (e.g. Python, Java, JavaScript, or .NET ). Implement automated testing, code reviews, and quality assurance More ❯

technologies and services - AWS, Azure, GCP Proven experience in DevOps processes and best practices Extensive experience in designing, implementing, and maintaining CI/CD pipelines - GitLab CI, GitHub Actions, Jenkins etc Extensive experience with containerisation, virtualisation, and orchestration technologies - Docker, Kubernetes etc Extensive experience using Infrastructure as Code for configuration management and code implementation - Terraform etc. Experience setting up and More ❯

Responsibilities Design, develop, and maintain secure, high-performance cloud platforms. Take the lead on technical design and implementation decisions. Build and manage CI/CD pipelines using tools like Jenkins, Bamboo, or Bitbucket. Develop clean, maintainable code in languages such as Python, Java, JavaScript, or .NET. Implement automated testing and continuous integration practices. Drive Agile delivery through sprint planning and More ❯

systems and microservices architecture, as well as cloud-based infrastructure (AWS, GCP, Azure), is a plus. Version Control: Experience with Git and familiarity with CI/CD pipelines (e.g., Jenkins, GitLab CI). Testing and Debugging: Experience with testing tools like pytest, unit tests, and debugging skills to quickly resolve issues. API Design: Strong knowledge of RESTful API design and More ❯

or AWS ECS (Elastic Container Service) Proficiency in one or more Infrastructure as Code (IaC) frameworks: Terraform, AWS CloudFormation, or AWS CDK Proficient with CI/CD tools (e.g., Jenkins, GitLab CI, AWS CodePipeline) Strong testing discipline with tools like JUnit, Mockito, Postman, or Karate Experience with OAuth2, JWT, OpenID Connect Familiarity with Java 8+ and awareness of Java More ❯

auth). Production experience with JavaScript/Typescript/React (functional components, hooks, routing). Practical knowledge of CI/CD tooling and pipelines (e.g., Azure DevOps, GitHub Actions, Jenkins, GitLab CI). Experience working in a cloud hybrid environment (Azure/AWS/GCP + on-prem). Good understanding of software engineering fundamentals: unit/integration testing, SOLID More ❯

auth). Production experience with JavaScript/Typescript/React (functional components, hooks, routing). Practical knowledge of CI/CD tooling and pipelines (e.g., Azure DevOps, GitHub Actions, Jenkins, GitLab CI). Experience working in a cloud hybrid environment (Azure/AWS/GCP + on-prem). Good understanding of software engineering fundamentals: unit/integration testing, SOLID More ❯

auth). Production experience with JavaScript/Typescript/React (functional components, hooks, routing). Practical knowledge of CI/CD tooling and pipelines (e.g., Azure DevOps, GitHub Actions, Jenkins, GitLab CI). Experience working in a cloud hybrid environment (Azure/AWS/GCP + on-prem). Good understanding of software engineering fundamentals: unit/integration testing, SOLID More ❯

Code: Advanced proficiency with Terraform. Containerisation & Orchestration: Deep understanding of Docker and Kubernetes (ECS/EKS). Continuous Integration/Delivery: Skilled in managing CI/CD pipelines using Jenkins and GitHub Actions. Programming: Working knowledge of Go, Python, and JavaScript for automation and tooling. Responsibilities: Lead the development and operational support of secure, scalable web services. Champion automation across More ❯

experience with Airflow (Astronomer) setup, orchestration, and optimization. Proficiency in infrastructure as code (IaC) tools such as Terraform or CloudFormation. Experience with CI/CD pipelines and tools like Jenkins, GitHub Actions, or GitLab CI. Solid understanding of containerization technologies (Docker, Kubernetes). Working knowledge of Python and SQL for automation and data pipeline development. Familiarity with monitoring and observability More ❯

ll work with modern, scalable technologies and frameworks including: Languages: JavaScript/TypeScript, Java, Frameworks: React, Angular, Node.js, Spring Boot, .NET Cloud Platforms: AWS, Azure, GCP CI/CD: Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep Safe and pragmatic use of AI tools throughout the SDLC What You’ll Bring Experience leading high-performing software engineering teams. More ❯

languages and engineering concepts, operating systems, storage, networking, virtualisation and automation. Knowledge of building and maintaining “configuration as code” infrastructure and CI/CD pipelines (Docker, Kubernetes, Ansible, Terraform, Jenkins, Helm) is advantageous Excellent organisational and time management skills with the ability to work on multiple pieces of work at the same time. The ability to learn quickly in a More ❯

as Data Structures, Algorithms and Design Patterns Amazon Web Services, Azure, or Google Cloud Platform Desirable Kafka Agile awareness, Jira, Bitbucket Python MariaDB PostgreSQL + Timescale Build Systems (Bamboo, Jenkins, etc) SQL and NoSQL technologies You will have knowledge of software development and some exposure to mentoring junior Engineers would be a benefit. You will be happy solving technical problems More ❯

role. * Strong proficiency with at least one major cloud provider (AWS, Azure, or GCP). * In-depth knowledge of container orchestration. * Demonstrable experience with CI/CD tools like Jenkins, GitHub Actions, or Azure DevOps. * Expertise in using tools like Terraform or Ansible. * Proficiency in a scripting language such as Python or Bash. * Solid understanding of networking principles (TCP/ More ❯

/TypeScript, Java, C# Frameworks: Vue/Angular/React/Node/Next, Spring/Spring Boot, .NET/ASP.NET Cloud platforms: AWS, GCP, Azure CI/CD:Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep Pragmatic and safe usage of AI through the SDLC (e.g. using MCP to combine tools in interesting and effective ways) Qualifications More ❯

employment status. What you’ll be doing Designing and implementing AWS infrastructure and services using IaC (e.g. Terraform, CDK) Owning and improving CI/CD pipelines (e.g. GitHub Actions, Jenkins) to streamline secure, automated deployments Building and managing observability tooling (e.g. CloudWatch, Grafana, OpenTelemetry) for proactive system monitoring and alerting Developing event-driven containerised and serverless systems using Lambda, ECS More ❯

Proficient in infrastructure-as-code (IaC) such as Terraform, OpenTofu, Terragrunt, CloudFormation, or similar. Deep understanding of CI/CD tools and pipelines, such as GitLab CI, Github Actions, Jenkins or similar. Solid understanding of networking, security, and identity management within AWS and Kubernetes environments. Current or previous experience with a modern programming/scripting languages such as C#, Go More ❯

data engineering, automation, and testing. Confident using SQL for data analysis and building queries in Databricks SQL. Experience implementing CI/CD pipelines (e.g. GitHub Actions, Azure DevOps, or Jenkins). Familiarity with Git and version control best practices. TO BE CONSIDERED... Please either apply by clicking online or emailing me directly chelsea.hackett@searchability.com . By applying to this role More ❯

modern front-end frameworks. Experience working with RESTful APIs and building rich, data-driven interfaces. Knowledge of cloud environments (Azure or AWS) and CI/CD pipelines (GitHub Actions, Jenkins, etc.). Familiarity with .NET environments and SQL/Entity Framework would be a plus. A passion for quality — from testing and automation to great UX. Excellent communication and collaboration More ❯

expertise across AWS services (EC2, S3, Lambda, DynamoDB, etc.) and infrastructure-as-code tools such as Terraform or CloudFormation. Proficient with CI/CD and development tools such as Jenkins, Git, and Docker. Advanced scripting skills in TypeScript or JavaScript (TypeScript preferred). Experience with other languages such as Go is also welcome. Excellent problem-solving and troubleshooting skills. Strong More ❯

re progressing into the role). Key Experience Strong hands-on experience with Azure or AWS. Solid background with Terraform and IaC. Proven use of CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.). Knowledge of Prometheus and Grafana for monitoring. Familiarity with collaboration tools like Slack. Either: Prior management/team lead experience, or A Senior DevOps More ❯

such as Selenium, TestNG, and JUnit. Perform root cause analysis on defects and collaborate with development teams to resolve issues effectively. Engage in continuous integration practices using tools like Jenkins and GitLab to streamline the testing process. Participate in release management activities, ensuring that all releases are thoroughly tested before deployment. Conduct performance testing using LoadRunner and other tools to More ❯

native applications using technologies such as AWS Lambda, Spring Boot, NodeJS, Python FastAPI, Oracle, PostgreSQL, and MongoDB . Work within Agile and DevSecOps environments, utilising tooling such as Atlassian, Jenkins, GitLab, OWASP and AWS services. Apply Site Reliability Engineering principles to enhance reliability, resilience, and performance. Support technical decision-making, explaining trade-offs and best practices to clients and stakeholders. More ❯

automation testing experience (not just manual testing) Experience working with development teams using Java or JavaScript Familiarity with integrating test automation into CI/CD pipelines (e.g., GitLab CI, Jenkins, GitHub Actions) Experience with non-functional testing , including: Performance testing (e.g., JMeter, Gatling), Security testing (e.g., OWASP ZAP, Checkmarx), Accessibility testing (e.g., Axe, WAVE, Pa11y) Understanding of shift-left testing More ❯

large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience More ❯