17 of 17 GitLab Jobs in the City of 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 ❯

experience working as a Senior DevOps Engineer/DevOps Lead, with a background in Software Engineering/Development 5+ years working in financial services (Large retail banking) Technologies include: GitLab, TeamCity, Jenkins, Docker, Kubernetes, Ansible Rust, .NET, Java, Python, TypeScript, Gradle, Conda, and other build/deployment tools Expert level understanding of DevOps, CI/CD pipelines, and the ecosystem 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 ❯

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 ❯

multi-disciplined Agile/Scrum team. Key Technologies Cloud & Infrastructure : AWS CloudFormation, Amazon ECS, Docker, Kubernetes Automation & CI/CD : CI/CD automation (ideally DroneCI), Git (GitHub or GitLab), Ansible Scripting & Administration : Advanced Linux administration and scripting (e.g., Bash) Security : Strong knowledge of security best practices, including automation/implementation (e.g., Kubernetes security groups, mutual authentication, HTTP security headers 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 ❯

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 ❯