14 of 14 Contract GitHub Actions Jobs in London

API-based integrations with systems such as ServiceNow, NetBox, and GitHub. Drive network configuration standardisation using YANG models for routers and switches. Implement and maintain CI/CD pipelines (GitHub Actions/Azure DevOps) for network code delivery. Troubleshoot and optimise automation workflows across hybrid (on-prem and cloud) environments. Collaborate with architects, service owners, and developers to … scalable automated 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) CI/CD & Tooling: GitHub Actions, Azure Pipelines, Jenkins, Terraform, ServiceNow Monitoring & Observability: Grafana, Prometheus (desirable) Experience & Requirements Proven experience in network engineering or network automation (WAN, LAN, routing, switching, DNS, DHCP). Hands-on experience developing automation using Ansible and Python . Familiarity with Cisco NSO and YANG modelling or similar orchestration tools. Understanding More ❯

API-based integrations with systems such as ServiceNow, NetBox, and GitHub. Drive network configuration standardisation using YANG models for routers and switches. Implement and maintain CI/CD pipelines (GitHub Actions/Azure DevOps) for network code delivery. Troubleshoot and optimise automation workflows across hybrid (on-prem and cloud) environments. Collaborate with architects, service owners, and developers to … scalable automated 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) CI/CD & Tooling: GitHub Actions, Azure Pipelines, Jenkins, Terraform, ServiceNow Monitoring & Observability: Grafana, Prometheus (desirable) Experience & Requirements Proven experience in network engineering or network automation (WAN, LAN, routing, switching, DNS, DHCP). Hands-on experience developing automation using Ansible and Python . Familiarity with Cisco NSO and YANG modelling or similar orchestration tools. Understanding More ❯

update, and support TypeScript-based Lambda functions, APIs, and microservices. Improve platform reliability, performance, and resilience through automation and DevOps best practices. Enhance and run CI/CD pipelines (GitHub Actions) with automated testing and deployment. Containerise where needed using Docker for local development and ECS workloads. Apply strong security, operational readiness, and GDS-aligned standards across the More ❯

on experience with Azure Cognitive Services, Azure OpenAI, and Azure Data Factory. Solid programming skills (Python/C#,/.NET) Experience with Azure DevOps, CI/CD pipelines, and GitHub Actions. Knowledge of containerization (tools ie Docker) and orchestration (ie Kubernetes on Azure). Good awareness of Data & AI - understanding of ML lifecycle, MLOps, and Responsible AI. Strong problem More ❯

Container orchestration platforms (e.g., Kubernetes, OpenShift) . CI/CD: Extensive knowledge and practical experience designing and implementing end-to-end CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions) and configuring Git runners for private cloud deployments. Scripting: Proficiency in scripting languages (e.g., Python, Bash, PowerShell) for developing automation glue logic and utility scripts. Analytical Skills More ❯

Azure for ML workloads including compute, networking and storage. Good knowledge of MLOps tools such as MLflow, Azure ML, Kubeflow or similar. Strong background in CI and CD using GitHub Actions, Azure DevOps or similar. Experience working in containerised environments using Docker and Kubernetes. Clear understanding of how to support Data Scientists and engineering teams through the model More ❯

data models. Monitor and tune pipeline performance to ensure efficiency, reliability, and cost optimisation. Participate in CI/CD processes and infrastructure-as-code solutions using tools like Terraform, GitHub Actions, or Azure DevOps Required Skills & Experience 3+ years' experience as a Data Engineer working in Azure environments. Strong hands-on experience with Databricks (PySpark, Delta Lake, cluster More ❯

data models. Monitor and tune pipeline performance to ensure efficiency, reliability, and cost optimisation. Participate in CI/CD processes and infrastructure-as-code solutions using tools like Terraform, GitHub Actions, or Azure DevOps Required Skills & Experience 3+ years' experience as a Data Engineer working in Azure environments. Strong hands-on experience with Databricks (PySpark, Delta Lake, cluster More ❯

API, Azure OpenAI, and Semantic Kernel Solid programming skills in Python and/or C# LangChain, AutoGen, or similar orchestration frameworks Azure AI Search, Form Recognizer, and Language Services GitHub Actions, CI/CD, and DevSecOps practices Responsible AI frameworks (e.g., NIST AI RMF, ISO/IEC 42001) GDPR, data residency, and DLP policies Azure DevOps, ARM/ More ❯

Strong hands-on experience with Azure Cloud environments Solid understanding of Kubernetes and container orchestration Skilled in Terraform for Infrastructure as Code (IaC) Familiarity with CI/CD pipelines (GitHub Actions or similar) Good understanding of networking concepts within Azure Experience with monitoring and troubleshooting tools Comfortable with automation and Scripting for operational efficiency Exposure to Agile and More ❯

communication skills and a proactive, ownership-driven mindset Bonus Points For: Exposure to GenAI/LLM integrations such as OpenAI or Anthropic Experience with SDLC tooling such as Jenkins, GitHub Actions, Jira Familiarity with AI-powered developer workflows What Success Looks Like: A smooth, modern UI that makes AI-driven automation feel natural for engineers Strong collaboration across More ❯

e.g. Python). Hands-on use of SAST, SCA, secrets scanning, and DAST tools, especially in CI/CD pipelines. Awareness of CI/CD and infrastructure security patterns (GitHub Actions, Terraform, Kubernetes, least-privilege IAM). Practical experience with Okta (OIDC/SAML, MFA, policies, workflows) and Doppler (secrets lifecycle, rotation, environments). Hands-on Cloud Security More ❯

hands-on experience with AWS (IAM, networking, ECS/EKS, Terraform, CloudFormation). Proficiency in Infrastructure as Code , automation, and container orchestration. Solid understanding of CI/CD pipelines (GitHub Actions, Jenkins, or similar). Experience with monitoring tools (Datadog, CloudWatch, etc.). Proven track record in environment hardening , patching, and compliance frameworks. Leadership & Collaboration: Ability to coordinate More ❯

and onboarding documentation. Security & DevSecOps Integration: Integrate AI security controls into CI/CD pipelines and MLOps workflows. Use tools such as Azure Key Vault, Microsoft Entra ID, and GitHub Actions for secure deployment and access management. Monitor AI systems using Azure Monitor, Log Analytics, and Application Insights. Policy Implementation & Regulatory Alignment: Translate regulatory requirements into actionable engineering More ❯