6 of 6 GitLab Jobs in East London

solutions. Maintain documentation for designs, processes, and operational procedures. Promote automation, standardisation, and best practices across global teams. Core Technologies Automation & Orchestration: Ansible, Cisco NSO, Terraform, GitOps (GitHub/GitLab/Azure DevOps) Networking & Modelling: YANG, RESTCONF, NETCONF, XML, JSON, Jinja2, NetBox Cloud & Platform: Azure, AWS, RedHat Enterprise Linux, VMware, OpenStack Scripting & Languages: Python, Bash, YAML (Go/PowerShell desirable More ❯

building secure, scalable platforms. Architectural Know-How: Ability to design and implement cloud platforms supporting microservices and containerised workloads. CI/CD Pro: Proven experience with tools like GitHub, GitLab, or AWS DevOps Tooling, and expertise in deployment automation/orchestration. Networking Knowledge: Familiarity with Virtual Networks, DNS, Gateways, Load Balancers and more. Security Expert: Understanding of IAM, WAF, and More ❯

resolving high-complexity system issues and optimising system performance and reliability You can code with Python or Golang You have a strong understanding of DevOps tooling, CI/CD, Gitlab, Jenkins and infrastructure observability tools such as Splunk, Prometheus and Grafana You have strong experience with containerisation technologies such as Docker and orchestration platforms like Kubernetes You have experience within More ❯

to provide pragmatic solutions. Architectural Know-How: Ability to design and implement cloud platforms supporting microservices and containerised workloads. CI/CD Pro: Proven experience with tools like GitHub, GitLab, or AWS DevOps Tooling, and expertise in deployment automation/orchestration. Networking Knowledge: Familiarity with Virtual Networks, DNS, Gateways, Load Balancers and more. Security Savvy: Understanding of IAM, WAF, and 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 ❯

Join Barclays as an Infrastructure Engineer and play a key role in delivering Data Caching solutions on Barclays container platforms. This is a hands-on infrastructure role where you'll design, build, and optimise in-memory Data Caching products like More ❯