1 to 25 of 47 GitLab Jobs in Berkshire

to ensure high availability and performance Contribute to continuous improvement of DevOps standards and processes Essential Skills & Experience Hands-on experience with CI/CD tools such as Jenkins, GitLab CI, or Azure DevOps Experience with Infrastructure as Code tools (Terraform, Ansible, or CloudFormation) Strong background in Linux systems and scripting (Bash or Python) Exposure to containerisation and orchestration (Docker More ❯

deployment issues and work collaboratively as part of the wider organization. They must be an expert with experience with continuous integration, automated deployment, testing and relevant tooling (Git/GitLab, Jenkins, Ansible, Terraform, Linux, AWS EC2, S3 and EKS are essential) Key responsibilities include: Design and implement automated build and deployment solution for Java based micro service applications utilizing Atlassian More ❯

deployment issues and work collaboratively as part of the wider organization. They must be an expert with experience with continuous integration, automated deployment, testing and relevant tooling (Git/GitLab, Jenkins, Ansible, Terraform, Linux, AWS EC2, S3 and EKS are essential) Key responsibilities include: Design and implement automated build and deployment solution for Java based micro service applications utilizing Atlassian More ❯

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 ❯

Ansible, etc.). OpenShift Virtualization and Kubernetes. Scripting languages (e.g., Bash, Python) for automation tasks. Cloud platforms (AWS, Azure, GCP) and hybrid cloud environments. CI/CD tools (Jenkins, GitLab, ArgoCD, etc.). Desirable Skills Networking, storage, and virtualization concepts. Version control systems (Git) and collaborative development workflows. Security best practices for containerized and virtualized environments. Working in fast-paced More ❯

Ensure compliance with security and governance standards. Key Skills & Experience: Proven experience as a DevOps Engineer in a cloud-based environment. Strong knowledge of CI/CD tools (Jenkins, GitLab CI, Azure DevOps, etc.). Experience with container technologies (Docker, Kubernetes). Hands-on experience with IaC (Terraform, Ansible, or CloudFormation). Proficient in scripting languages such as Bash, Python More ❯

clients. Evolve infrastructure to support hybrid AI/codec workflows, including ML inference and neural compression pipelines. Requirements: Hands-on experience with CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, etc.). Proficiency in containerisation and orchestration (Docker, Kubernetes). Experience with cloud GPU infrastructure (AWS, Azure, GCP) and IaC (Terraform, Ansible). Familiarity with GPU workflows (CUDA, SYCL More ❯

least one cloud platform (GCP preferred, with AWS or Azure also acceptable). Familiarity with infrastructure-as-code tools (e.g., Terraform, Ansible) and CI/CD tools (e.g., Jenkins, GitLab CI). More ❯

work model based in the London area with opportunities for global collaboration. DevOps, DevSecOps, MLOps, Solution Architect, Sales Engineer, Presales Engineer, Cloud Architect, CI/CD, Kubernetes, Docker, Jenkins, GitLab, AWS, Azure, GCP, SAST, SCA, SBOM, Container Security, Application Security, Cloud Security, Infrastructure as Code, Terraform, Helm, Python, Enterprise Solutions, Technical Presales, Software Delivery, Digital Transformation, DevOps Automation. More ❯

bring Strong hands-on AWS experience (VPC, IAM, EC2, S3, Route53) Solid background in Infrastructure as Code (Terraform or Ansible) Experience building and maintaining CI/CD pipelines (Jenkins, GitLab CI, CircleCI) Knowledge of containerisation with Docker and Kubernetes Scripting in Python, Bash, or Go Monitoring and observability using Prometheus, Splunk, or similar Familiarity with Kafka, Akamai or Fastly, and 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 ❯

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 ❯

EC2, S3, RDS, Lambda, CloudWatch, etc.) Experience with Infrastructure-as-Code tools (Terraform preferred, CloudFormation) Solid understanding of Linux system administration Experience building and maintaining CI/CD pipelines (GitLab CI, GitHub Actions, Jenkins, or similar) Proficiency in scripting languages (Python, Bash, or Ruby) Experience with containerization technologies (Docker, and ideally Kubernetes or ECS) Knowledge of monitoring and observability tools More ❯

in Java (Spring Boot preferred) Experience with AWS or other public cloud environments (Azure, GCP) Exposure to front-end technologies (React, Angular or similar) Knowledge of CI/CD, GitLab, or equivalent tools Strong understanding of Agile/DevOps principles Must be eligible for SC Clearance (British citizen, resident in the UK for 5+ years) TO BE CONSIDERED: Please either More ❯

TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing. Ability More ❯

beneficial) Extensive AWS experience (5+ years) with certification Familiarity with Infrastructure as Code (IaC) tools Proficient scripting skills (Python, Java, JavaScript, Go) Experience with CI/CD pipelines (Jenkins, GitLab, GitHub, Concourse) Strong communication, presentation, and client engagement skills Ability to think strategically and solve client problems in ambiguous environments Responsibilities Assist clients in designing and implementing AWS cloud solutions More ❯

a fast-paced, cross-functional environment What you’ll bring Strong Linux administration skills (Ubuntu preferred) Hands-on experience with AWS and GCP Proficiency in Terraform, Ansible, Jenkins, or GitLab CI Knowledge of Kafka, Cassandra, and relational or NoSQL databases Scripting skills in Python, Bash, Go, or Java Familiarity with monitoring tools like Prometheus, Nagios, or Icinga Understanding of networking More ❯

operate Kubernetes clusters across on-prem and private cloud environments Integrate low-latency capabilities into containerised systems (core pinning, kernel bypass) Build and maintain CI/CD pipelines using GitLab CI, ArgoCD, Bitbucket, or Bamboo Implement infrastructure as code , policy-as-code, and automated compliance controls Collaborate with InfoSec and SRE teams to embed DevSecOps principles across environments Migrate key More ❯

as Python or Bash. Familiarity with CI/CD processes, cloud infrastructure (e.g., AWS), and Kubernetes. Experience with Python coding, system architecture, and DevOps tools. Additional skills: Linux, Docker, GitLab-CI, Jenkins, and monitoring tools. A minimum of 7 years of relevant experience. Excellent interpersonal skills to support effective collaboration. Why join? This organisation values diversity, inclusion, and teamwork. Employees More ❯

flows Scripting (Perl, awk), SQL, Unix XML, RDMS Operation Knowledge of Scheduling tool such as control M, Autosys 4. DevOps & Automation Tools Experience with CI/CD tools (Jenkins, GitLab CI, etc.) Familiarity with scripting (bash, ant, Python/Perl scripts on LINUX RHEL etc.) to automate operational tasks 5. Cloud & Container Platforms Exposure to public cloud environments (AWS, GCP More ❯

working environments Strong Linux System Administration experience Strong Knowledge in AWS services EC2, ELB, RDS, ECS,EMR, S3, Config, CloudTrail, EFS, Lambda, VPC and IAM DevOps Experience using Jenkins, Gitlab or GitHub andJira Having used enterprise identity management softwaresuch as RedHat Identity Manager for server andapplication authentication To be able to communicate and articulate technicalissues across all levels (i.e., technical 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 ❯

testing. Hands-on expertise in automation frameworks built with JavaScript/TypeScript. Strong understanding of API and data testing principles Confident with CI/CD tools such as Jenkins, GitLab CI, or Azure DevOps . Familiarity or curiosity around AI-driven testing tools and methodologies . Interview Process: 1 - Technical Interview over teams with Head of QA 2 - In Person 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 ❯