21 of 21 GitLab Jobs in Central London

months 💼 Type: Contract (Outside IR35) 💰 Rate: Competitive, depending on experience 🔧 What You’ll Be Doing: Designing and implementing CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI Managing infrastructure as code (Terraform, Pulumi, CloudFormation) Supporting cloud environments (AWS, Azure, or GCP) Monitoring and optimizing system performance and reliability Collaborating with development and operations teams to streamline More ❯

months 💼 Type: Contract (Outside IR35) 💰 Rate: Competitive, depending on experience 🔧 What You’ll Be Doing: Designing and implementing CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI Managing infrastructure as code (Terraform, Pulumi, CloudFormation) Supporting cloud environments (AWS, Azure, or GCP) Monitoring and optimizing system performance and reliability Collaborating with development and operations teams to streamline More ❯

/17/21) and the Spring Boot framework Knowledge of microservice architecture and API design principles Understanding of TDD and BDD principles Experience with CI/CD pipelines (GitLab CI desirable) Familiarity with Docker and containerisation (Kubernetes/EKS desirable) Ability to work in Agile delivery environments Knowledge of Kafka SC Security Clearance - Active £ 525.00/day Talent International More ❯

and Skills Strong relevant experience as a Senior SDET Experience and knowledge of API testing and the use of Postman Cypress Docker for running the Cypress container Working with Gitlab for storage of all developed test automation TDD Using Junit SonarQube Jenkins Splunk Gatling Serenity Cucumber Selenium Wiremock Hamcrest AWS Cloudwatch Jira and Confluence Nice to have Mocks and stubs More ❯

Experience Strong experience with AWS MSK (Kafka) and secure AWS environments Proven production experience with Kubernetes, Docker, and Helm Proficiency with Terraform and CI/CD pipelines (Drone/GitLab) Excellent understanding of Kafka internals and secure stream processing Experience with monitoring tools (Prometheus, Grafana, CloudWatch) Knowledge of security hardening, IAM, WAF, Shield, Vault Working knowledge of Agile, IaC, and More ❯

Experience Strong experience with AWS MSK (Kafka) and secure AWS environments Proven production experience with Kubernetes, Docker, and Helm Proficiency with Terraform and CI/CD pipelines (Drone/GitLab) Excellent understanding of Kafka internals and secure stream processing Experience with monitoring tools (Prometheus, Grafana, CloudWatch) Knowledge of security hardening, IAM, WAF, Shield, Vault Working knowledge of Agile, IaC, and More ❯

re looking for Proven experience in DevOps engineering Strong experience working in a Java development environment Strong knowledge of Kubernetes Hands-on experience with CI/CD tools (Jenkins, GitLab CI, GitHub Actions, etc.). Experience with cloud platforms (AWS). Next Steps If you have the relevant skills and experience required for this opportunity, please apply with your CV More ❯

Skills: Strong experience with AWS MSK (Kafka) and secure multi-account AWS environments Proven production experience with Kubernetes, Docker, Helm Proficient in Terraform, CI/CD Pipelines (Drone/GitLab) Excellent understanding of Kafka internals, stream processing, and secure Kafka deployments Strong experience across monitoring (Prometheus, Grafana, CloudWatch) Knowledge of security hardening, IAM, WAF, Shield, Vault Working knowledge of Agile More ❯

Hands-on experience with secrets management solutions (Vault, Conjur, AWS Secrets Manager, Azure Key Vault, etc.). Strong DevOps background – think CI/CD pipelines (Terraform, Jenkins, GitHub Actions, GitLab, Azure DevOps). Proficiency in automation and scripting ( Python, PowerShell, Bash ). Familiarity with AWS, Azure, or GCP IAM capabilities. Solid grasp of security frameworks and best practices . Next More ❯

maintain secure cloud and platform infrastructure on AWS, Kubernetes, and OpenShift Implement Infrastructure as Code using Terraform, CloudFormation, and Ansible Create and optimise secure CI/CD pipelines with GitLab CI/CD, Jenkins, and ArgoCD Embed security scanning and compliance tools (Snyk, Trivy, Checkov, SonarQube) into automated workflows Manage authentication, access control, and secrets using Vault, AWS Secrets Manager More ❯

maintain secure cloud and platform infrastructure on AWS, Kubernetes, and OpenShift Implement Infrastructure as Code using Terraform, CloudFormation, and Ansible Create and optimise secure CI/CD pipelines with GitLab CI/CD, Jenkins, and ArgoCD Embed security scanning and compliance tools (Snyk, Trivy, Checkov, SonarQube) into automated workflows Manage authentication, access control, and secrets using Vault, AWS Secrets Manager More ❯

automation Itential IAP, Appian, Resolve Knowledge of telecom networks, technologies, and standards e.g TMF/Tosca/MEF YANG/TOSCA for service modelling CI/CD/CT - GITLAB, Robot, Selenium, Cucumber, Veracode, Sonar cube If you meet the above criteria, please submit your latest CV for review. More ❯

automation Itential IAP, Appian, Resolve Knowledge of telecom networks, technologies, and standards e.g TMF/Tosca/MEF YANG/TOSCA for service modelling CI/CD/CT - GITLAB, Robot, Selenium, Cucumber, Veracode, Sonar cube If you meet the above criteria, please submit your latest CV for review. More ❯

to coach, mentor, and upskill staff; develop career paths and ensure team resilience. Experience undertaking root cause analysis including prevention orientated solution reporting. Working experience with deployment tools (e.g. GitLab pipelines) and rollback strategies. Proficiency in managing bare-metal servers, virtualization platforms such as VMware, containerised systems as well as familiarity with hybrid cloud environments and DevOPS practices. Familiarity with More ❯

to coach, mentor, and upskill staff; develop career paths and ensure team resilience. Experience undertaking root cause analysis including prevention orientated solution reporting. Working experience with deployment tools (e.g. GitLab pipelines) and rollback strategies. Proficiency in managing bare-metal servers, virtualization platforms such as VMware, containerised systems as well as familiarity with hybrid cloud environments and DevOPS practices. Familiarity with More ❯

models Solid grasp of MLOps best practices Confident speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

frontend frameworks like React, Angular, or Blazor/Razor Familiarity with cloud platforms such as Microsoft Azure or AWS Experience with CI/CD tools such as GitHub Actions, GitLab, Jenkins, or Azure DevOps Skilled in version control using Git and working with remote repositories (e.g., GitHub, GitLab) Comfortable working in agile, fast-paced team environments Nice-to-Have Skills More ❯

pipelining and orchestration systems (e.g. Airflow). Understanding of modern analytics architectures and data visualisation tools (we use Preset.io/Apache Superset). Exposure to CI/CD pipelines (GitLab CI preferred). Experience with advertising or media data is a plus. More ❯

pipelining and orchestration systems (e.g. Airflow). Understanding of modern analytics architectures and data visualisation tools (we use Preset.io/Apache Superset). Exposure to CI/CD pipelines (GitLab CI preferred). Experience with advertising or media data is a plus. More ❯

Demonstrated expertise in AZURE KUBERNETES SERVICES (AKS), Azure Container Instances (ACI), and Azure Container Apps (ACA). Strong ability to automate processes and create monitoring solutions using tools like GitLab CI, Kubecost, Azure DevOps, and other relevant technologies. Experience in designing and implementing secure and scalable container solutions in Azure, leveraging tools such as Microsoft Entra ID, Azure CLI, and More ❯

developing flows in Anypoint Studio for batch and asynchronous processing. Proficiency in RESTful API development and working with XML, XSLT, and XSD. Familiarity with source code control tools like GitLab or GitHub, including versioning and deployment strategies. What We Offer Generous annual leave Hybrid working options Occupational pension scheme Excellent training and development opportunities More ❯