12 of 12 Remote GitLab Jobs in Central London

technologies and orchestration platforms like Docker and Amazon EKS (Kubernetes) or ECS. Expertise in defining, implementing, and optimizing CI/CD pipelines using tools such as AWS CodePipeline, Jenkins, GitLab, GitHub Actions, and others, applying best practices for pipeline efficiency and security. Strong background in networking, Linux or Windows administration, with the ability to architect secure, performant, and highly available More ❯

EC2, S3, RDS, ECS, Lambda, CloudFormation, CloudWatch, IAM, etc.). Proficiency with Terraform (HashiCorp Certified Terraform Associate preferred). Experience with CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI, CircleCI, or AWS CodePipeline). Solid understanding of containerisation (Docker, ECS, or Kubernetes). Strong scripting skills in Python , Bash , or similar. Familiarity with Linux administration , networking, and system More ❯

Overview Design and implement cloud infrastructure (compute, storage, networking, observability) using the business engineering standards and controls. Build and maintain CI/CD pipelines using tools like Terraform Enterprise, GitLab and Python. Embed security by design principles, ensuring compliance with regulatory and internal risk frameworks. Lead engineering efforts in specialist domains such as container platforms, data services, or cloud networking. More ❯

with Python and Flask Proven experience working in cloud environments (AWS or Azure) Familiarity with frontend integration , ideally React.js Understanding of CI/CD pipelines (e.g. Jenkins, GitHub Actions, GitLab CI, CircleCI, or Azure DevOps) Solid grasp of version control (Git) and modern software delivery practices Desirable Experience in consulting or working with multiple client projects Familiarity with containerisation (Docker More ❯

frontend features using React and TypeScript, participate in architectural discussions and propose platform improvements, work in a Linux environment using Docker and Kubernetes and follow Agile practices using Scrum, GitLab, and Jira. Essential Skills: 2+ years of Python experience in a commercial environment, with strong asynchronous programming skills 2+ years of frontend development experience with React and modern JavaScript/ More ❯

cloud, DevOps, or compute environments Deep technical expertise in cloud platforms (GCP, AWS, or Azure), containerization, CI/CD, and infrastructure-as-code Docker; Kubernetes (EKS, GKE, AKS); Jenkins, GitLab CI, or GitHub Actions; Terraform or CloudFormation; Prometheus, Grafana, Datadog, or New Relic; Slurm, Torque, LSF; MPI; Hadoop or Spark;Director of In Experience with high-performance computing, distributed systems More ❯

ll Be Doing Building and improving cloud infrastructure (AWS or Azure) using IaC such as Terraform/Bicep Enhancing CI/CD pipelines and release automation (GitHub Actions, Jenkins, GitLab etc.) Designing and implementing monitoring, logging and alerting (Prometheus, Grafana, cloud-native tools) Supporting ML-driven services, serverless functions and data pipelines Improving automation and DevOps best practices across the More ❯

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 in cost optimisation More ❯

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 in cost optimisation More ❯

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 in cost optimisation More ❯

growth, and supports work-life balance. Tech environment (not required, just context for a tech agnostic individual at this level) Node.js/JavaScript Go, Python (selective use) Docker, Terraform GitLab Google Cloud (GCE, Cloud Run, BigQuery, Composer, ...) LLM (VertexAI) n8n Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with More ❯

For You Global Trading Environment: Collaborate with world-class engineers and data specialists at the forefront of financial technology. Modern Tech Stack: Work hands-on with GCP, Terraform, Kubernetes, GitLab, and BigQuery. Continuous Growth: Gain exposure to advanced automation, AI-assisted engineering, and scalable cloud architecture. Culture & Collaboration: Flat structure, open communication, and genuine engagement with senior leadership. Benefits Package … on Kubernetes (GKE) . Platform Support: Manage and optimise key platforms such as Airflow , BigQuery , and PostgreSQL clusters. Developer Experience: Enhance internal developer productivity through Coder remote dev environments, GitLab CI/CD pipelines, and observability tooling. Collaboration: Partner closely with Data Engineering, Trading Technology, and Platform teams to deliver robust, scalable cloud solutions. Required Skills and Experience Experience … cloud provider (ideally GCP ). Infrastructure as Code: Strong working knowledge of Terraform (Terramate a plus). Containerisation: Proficiency with Kubernetes (preferably GKE ). CI/CD: Familiarity with GitLab CI and continuous integration concepts. Mindset: Pragmatic, customer-focused, and driven by efficiency and automation. Education: Minimum 2:1 degree in a STEM subject or equivalent experience. Desirable: Exposure to More ❯