19 of 19 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 ❯

on-prem/cloud) and emerging technologies including Linux, Java, microservices, and containerisation (Docker, Kubernetes, Helm, Camunda). Proficiency in CI/CD pipelines (Jenkins), version control (GitHub/GitLab/BitBucket), backend/frontend frameworks (Spring Boot, Angular, React), cloud and data platforms (Azure Databricks, Data Lake), monitoring, logging, and test automation tools to deliver high-quality, scalable, and 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 ❯

in Linux Kernel tuning and hardware optimisation . Strong understanding of networking and storage performance . Experience with DevOps tooling (Terraform/Ansible). CI/CD pipeline experience (GitLab, Jenkins preferred). Programming/scripting ability in Python, Golang, or similar . Monitoring experience with Splunk, Prometheus, Grafana . Containerisation exposure ( Docker, Kubernetes ). Technical leadership experience is strongly 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 ❯

building and operating agentic AI systems Experience with MLOps practices and tools, and monitoring machine learning systems in production Knowledge of CI/CD practices and tools such as GitLab CI, Argo CD Proficiency with SQL and NoSQL databases Worked with Kubernetes and infrastructure as code (IaC) tools such as Terraform Experience with Large Language Models (LLMs) and a keen More ❯

support. Key skills needed, ideally: Linux scripting SQL Python FIX 2-3 years minimum experience in trading application support Full production lifecycle - development, test/QA using Jira/Gitlab, project work and support Apply now for more details. Top end salary and bonus on offer, hybrid work culture. £100-125,000+ bonus and benefits on offer. More ❯

compliant platforms. Balance project delivery with ongoing optimisation and operational excellence. Key experience: Strong background in Azure cloud, IaC (Bicep/Terraform), and CI/CD (Azure DevOps or GitLab). Proven leadership experience in a hands-on capacity. Excellent communication and stakeholder management skills. Experience in regulated or enterprise environments. If you’re an adaptable, technically strong leader who 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 ❯

and security, with a fully automated “everything as code” model using Terraform. Design and maintain a resilient GKE-based architecture while supporting core platforms such as Airflow, BigQuery, PostgreSQL, GitLab CI/CD, Coder, and observability systems. The successful candidate will have the following skills/experience - ✔️2-4 year commercial experience within a cloud infrastructure/engineering role ✔️Strong More ❯

environment. What you'll be doing Architect and scale observability platforms using Datadog + Geneos Lead infrastructure automation using Terraform/IaC Own CI/CD and GitOps using GitLab Work with cross-functional engineering teams to build resilient and performant systems Lead incident response and drive post-mortems and continuous improvement Mentor engineers and promote DevOps/SRE best … you’ll bring Strong hands-on experience with AWS (EC2, RDS, Lambda, VPC, EKS/ECS, IAM) Deep experience with Terraform and IaC Expertise in CI/CD pipelines ( GitLab or Jenkins ) Strong Datadog experience (metrics, traces, dashboards) Experience with Geneos (monitoring + alerting) Solid scripting ( Python/Bash ) and Linux knowledge Docker/Kubernetes experience Nice to have AWS More ❯

networking, and kernel performance for low-latency and high-throughput environments . Partner closely with research and infrastructure teams to deliver scalable, reliable solutions. Drive automation using Terraform, Ansible, GitLab, Jenkins , and support SDLC best practices. Provide visibility and performance monitoring using Splunk, Prometheus, Grafana . Contribute to containerisation and orchestration strategy with Docker and Kubernetes . Stay ahead of … platform engineering . Proven technical leadership in hardware optimisation, kernel tuning, and network/storage performance . Hands-on experience with DevOps and CI/CD tooling (Terraform, Ansible, GitLab, Jenkins). Programming/scripting knowledge in Python, Golang, or similar . Experience with metrics visualisation tools (Splunk, Prometheus, Grafana). Knowledge of containerisation and orchestration (Docker, Kubernetes). Experience 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 ❯

the build and deployment of FPGA platforms Drive automation across environments, leveraging scripting (Python/Bash) and systems programming (C/C++) Design and improve CI/CD pipelines (GitLab preferred) and containerisation (Docker) Implement and refine monitoring frameworks using Prometheus, Grafana, Splunk, or Elastic Search Improve build/test automation to streamline FPGA development workflows Collaborate directly with world … Requirements: FPGA experience (must-have) Strong systems programming (C/C++ preferred) Scripting expertise (Python and/or Bash) SQL proficiency Experience designing/building CI/CD pipelines (GitLab preferred) Containerisation experience (Docker preferred) Cloud infrastructure exposure (AWS preferred) Monitoring tooling experience (Prometheus, Grafana, Splunk, Elastic Search More ❯