1 to 25 of 112 Deployment Automation Jobs in the UK

business can depend Key responsibilities Kubernetes config, security, reliability, scaling and automated deployments Oracle Cloud and Azure and security best practise in those environments Terraform Azure DevOps pipelines and deployment automation Container build and hardening Automation for certificate renewals, cost reporting, BC/DR planning Observability tooling and alerting (Grafana, Elastic Prometheus ) Linux system administration Networking, routing … IPv4/IPv6, VPC, VPNs, fwd/rev proxies Skills and experience 3+ years in senior DevOps role owning business-critical SaaS infrastructure 6+ years total DevOps/infrastructure automation experience End-to-end infrastructure ownership and automation Familiarity C4 architecture diagrams and environment documentation Integration, documentation and compliance in security-focused environments Hands-on with OCI and … Kubernetes) Security and compliance Strong BC/DR planning, documentation and testing experience Excellent communication and collaboration skills Production of roadmaps for platform enhancements including estimating Practical AI workload deployment knowledge in SaaS RabbitMQ and mySQL Data storage management, cloud backup/restore, GDPR Desirable Skills Familiar with C#/.NET ecosystems with web and/or Blazor front More ❯

peers, architects, and product owners to bring business ideas to life while contributing to the overall architecture and development best practices of the team. You’ll also support the deployment and operationalization of code using CI/CD pipelines and infrastructure-as-code practices. What will you be doing Backend Development: Develop, test, and maintain Python-based backend services … and implement components using Azure services such as Function Apps, API Management, Application Gateway, Azure AI Foundry, Databricks and Service Bus. DevOps & CI/CD: Collaborate on build and deployment automation using Git, Azure DevOps, and CI/CD pipelines. Workflow Automation: Collaborate with stakeholders to build and maintain Jira Service Management (JSM) automations and custom workflows … and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Essential Requirements API Lifecycle: Experience across the full API development lifecycle - including versioning, documentation, automated testing, deployment, and monitoring - using modern API management practices and tools. Integration Development: Proven experience building both client-side and server-side API-level integrations in Python. Security: Experience implementing and More ❯

peers, architects, and product owners to bring business ideas to life while contributing to the overall architecture and development best practices of the team. You’ll also support the deployment and operationalization of code using CI/CD pipelines and infrastructure-as-code practices. What will you be doing Backend Development: Develop, test, and maintain Python-based backend services … and implement components using Azure services such as Function Apps, API Management, Application Gateway, Azure AI Foundry, Databricks and Service Bus. DevOps & CI/CD: Collaborate on build and deployment automation using Git, Azure DevOps, and CI/CD pipelines. Workflow Automation: Collaborate with stakeholders to build and maintain Jira Service Management (JSM) automations and custom workflows … and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Essential Requirements API Lifecycle: Experience across the full API development lifecycle - including versioning, documentation, automated testing, deployment, and monitoring - using modern API management practices and tools. Integration Development: Proven experience building both client-side and server-side API-level integrations in Python. Security: Experience implementing and More ❯

peers, architects, and product owners to bring business ideas to life while contributing to the overall architecture and development best practices of the team. You’ll also support the deployment and operationalization of code using CI/CD pipelines and infrastructure-as-code practices. What will you be doing Backend Development: Develop, test, and maintain Python-based backend services … and implement components using Azure services such as Function Apps, API Management, Application Gateway, Azure AI Foundry, Databricks and Service Bus. DevOps & CI/CD: Collaborate on build and deployment automation using Git, Azure DevOps, and CI/CD pipelines. Workflow Automation: Collaborate with stakeholders to build and maintain Jira Service Management (JSM) automations and custom workflows … and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Essential Requirements API Lifecycle: Experience across the full API development lifecycle - including versioning, documentation, automated testing, deployment, and monitoring - using modern API management practices and tools. Integration Development: Proven experience building both client-side and server-side API-level integrations in Python. Security: Experience implementing and More ❯

peers, architects, and product owners to bring business ideas to life while contributing to the overall architecture and development best practices of the team. You’ll also support the deployment and operationalization of code using CI/CD pipelines and infrastructure-as-code practices. What will you be doing Backend Development: Develop, test, and maintain Python-based backend services … and implement components using Azure services such as Function Apps, API Management, Application Gateway, Azure AI Foundry, Databricks and Service Bus. DevOps & CI/CD: Collaborate on build and deployment automation using Git, Azure DevOps, and CI/CD pipelines. Workflow Automation: Collaborate with stakeholders to build and maintain Jira Service Management (JSM) automations and custom workflows … and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Essential Requirements API Lifecycle: Experience across the full API development lifecycle - including versioning, documentation, automated testing, deployment, and monitoring - using modern API management practices and tools. Integration Development: Proven experience building both client-side and server-side API-level integrations in Python. Security: Experience implementing and More ❯

peers, architects, and product owners to bring business ideas to life while contributing to the overall architecture and development best practices of the team. You’ll also support the deployment and operationalization of code using CI/CD pipelines and infrastructure-as-code practices. What will you be doing Backend Development: Develop, test, and maintain Python-based backend services … and implement components using Azure services such as Function Apps, API Management, Application Gateway, Azure AI Foundry, Databricks and Service Bus. DevOps & CI/CD: Collaborate on build and deployment automation using Git, Azure DevOps, and CI/CD pipelines. Workflow Automation: Collaborate with stakeholders to build and maintain Jira Service Management (JSM) automations and custom workflows … and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Essential Requirements API Lifecycle: Experience across the full API development lifecycle - including versioning, documentation, automated testing, deployment, and monitoring - using modern API management practices and tools. Integration Development: Proven experience building both client-side and server-side API-level integrations in Python. Security: Experience implementing and More ❯

Tabular Editor) and build stunning dashboards used by Sales, Buying, Ops & Finance Optimise datasets for performance, incremental refresh and DirectQuery. AI/ML Enablement Work with Liberty’s AI & Automation Dev Team to prepare and expose curated data to our AI/ML toolsets and workflows. Stakeholder Enablement & Documentation Maintain clear documentation for BI projects, processes, and solutions. Enforce … ensure compliance with organizational standards. Upskill analysts through show-and-tell sessions and guard-rail documentation Governance & DevOps Implement CI/CD, source control (Git), and automate Fabric workspace deployment Define data-quality rules, lineage and catalogue standards About You Solid track record in Data Engineering, BI Development or Analytics Engineering roles Strong SQL skills and a solid understanding … in ELT/ETL development using tools such as Data Factory, Dataflow Gen2, Databricks Workflows, or similar orchestration frameworks Experience with Python and/or PySpark for data transformation, automation, or pipeline development Familiarity with cloud services and deployment automation (e.g., Azure, AWS, Terraform, CI/CD, Git) Ability to deliver clear, insightful, and performant data visualisations More ❯

Infrastructure (Control Tower, IAM, ECR, etc.) Infrastructure as Code (Terraform, CloudFormation) Containerised Systems (Docker, Kubernetes, Karpenter) Storage (EBS, S3) Security & Identity Management (IAM, SSO, VPN, Authentik) CI/CD & Deployment Automation (Bitbucket, GitLab, ArgoCD) Monitoring & Logging (Grafana, Loki, Mimir, Prometheus, UpTrends) Networking (Global Accelerator, TGW, WAF, VPN) Messaging (Kafka) Service Mesh (Linkerd) Databases & Data Stores (RDS, DynamoDB, PostgreSQL … runbooks and technical documentation CI/CD Pipeline Maintenance Review and standardise pipeline configurations (GitLab, ArgoCD) Troubleshoot and resolve basic build/deploy failures Create reusable pipeline templates or automation scripts Identify and automate routine tasks using scripting (e.g. Bash, Python) Investigation and Troubleshooting Investigate and resolve back-end and infrastructure production issues Troubleshoot technical issues or questions reported More ❯

helping deliver and automate cloud infrastructure deployments over the next 12-18 months, supporting a cutting-edge, regulated environment. You'll be joining an agile IT Operations team, driving automation and administration across cloud and on-premise environments. Using Terraform and PowerShell for automation is key, with a focus on deploying and managing cloud infrastructure - particularly within a … Server ecosystem. While Kubernetes experience is desirable, the role requires a strong generalist capable of adapting across multiple cloud technologies rather than specialising narrowly. What You'll Do Automate deployment and management of cloud infrastructure using Terraform and PowerShell Support Windows Server environments and integrate with cloud architecture Engage in infrastructure design, implementation, and operation to ensure highly available … scalable systems Work collaboratively across development and operations teams throughout the software lifecycle Champion system automation, reliability, and continuous improvement initiatives Monitor production systems with auto-healing and auto-scaling methodologies Support CI/CD pipelines and streamline infrastructure-as-code workflows Maintain strong security-first practices within infrastructure design and management About You Proven SRE generalist with broad More ❯

helping deliver and automate cloud infrastructure deployments over the next 12-18 months, supporting a cutting-edge, regulated environment. ?????You'll be joining an agile IT Operations team, driving automation and administration across cloud and on-premise environments. Using Terraform and PowerShell for automation is key, with a focus on deploying and managing cloud infrastructure - particularly within a … Server ecosystem. While Kubernetes experience is desirable, the role requires a strong generalist capable of adapting across multiple cloud technologies rather than specialising narrowly. What You'll Do Automate deployment and management of cloud infrastructure using Terraform and PowerShell Support Windows Server environments and integrate with cloud architecture Engage in infrastructure design, implementation, and operation to ensure highly available … scalable systems Work collaboratively across development and operations teams throughout the software lifecycle Champion system automation, reliability, and continuous improvement initiatives Monitor production systems with auto-healing and auto-scaling methodologies Support CI/CD pipelines and streamline infrastructure-as-code workflows Maintain strong security-first practices within infrastructure design and management About You Proven SRE generalist with broad More ❯

DRS, vRealize, Update Manager, hardening, storage integration, deep trouble shooting A proven track record in technical computing-based environments A deep understanding of Linux and its broader eco system Deployment automation technologies The ability to code, especially Infrastructure as code Network design, implementation, and administration A track record in the design and application of systems, leveraging automation More ❯

Cloud & Infrastructure Engineer Permanent SC Clearance REQUIRED Remote This is the primary hands-on role for day-to-day execution. This person will be responsible for the technical deployment, automation, and troubleshooting of discovery agents in complex environments. Key Responsibilities: Deploy and troubleshoot Flexera EKS and AKS agents across AWS and Azure cloud environments. Utilise infrastructure-as-code … principles with Terraform and PowerShell to automate agent deployment and manage core infrastructure. Collaborate with internal business units to navigate legacy and custom-built environments, ensuring successful agent deployment despite technical inconsistencies. Solve complex networking challenges , including DNS entries, static routes, and security configurations to ensure agent-to-server communication. UK security clearance is required. Required Skills & Experience More ❯

Cloud & Infrastructure EngineerPermanent SC Clearance REQUIRED Remote This is the primary hands-on role for day-to-day execution. This person will be responsible for the technical deployment, automation, and troubleshooting of discovery agents in complex environments. Key Responsibilities: Deploy and troubleshoot Flexera EKS and AKS agents across AWS and Azure cloud environments. Utilise infrastructure-as-code principles … with Terraform and PowerShell to automate agent deployment and manage core infrastructure. Collaborate with internal business units to navigate legacy and custom-built environments, ensuring successful agent deployment despite technical inconsistencies. Solve complex networking challenges , including DNS entries, static routes, and security configurations to ensure agent-to-server communication. UK security clearance is required. Required Skills & Experience: Extensive More ❯

Cloud & Infrastructure Engineer Permanent SC Clearance REQUIRED Remote This is the primary hands-on role for day-to-day execution. This person will be responsible for the technical deployment, automation, and troubleshooting of discovery agents in complex environments. Key Responsibilities: Deploy and troubleshoot Flexera EKS and AKS agents across AWS and Azure cloud environments. Utilise infrastructure-as-code … principles with Terraform and PowerShell to automate agent deployment and manage core infrastructure. Collaborate with internal business units to navigate legacy and custom-built environments, ensuring successful agent deployment despite technical inconsistencies. Solve complex networking challenges , including DNS entries, static routes, and security configurations to ensure agent-to-server communication. UK security clearance is required. Required Skills & Experience More ❯

using a tailored SAFe Agile SecDevOps Scrum process. You'll apply DevOps best practices and cloud-native design principles, leveraging AWS services and Infrastructure as Code (IaC) to drive automation and continuous delivery across environments. This role also includes hands-on work with automated testing, deployments, and infrastructure monitoringalongside participation in Agile ceremonies, risk mitigation activities, and collaborative solution … Strong proficiency in IAC using Terraform and Ansible to provision, configure, and maintain secure and scalable cloud environments Experience building and maintaining CI/CD pipelines using Jenkins, implementing automation for building, testing, and deploying applications across multiple environments Proven ability to write and maintain scripts and automation tools using Bash, Python, and PowerShell to enhance operational workflows … Understanding of routing, traffic management, and load balancing, including configuration of NGINX and AWS-native tools for optimizing traffic flow. Experience with structured release and change management processes, including deployment governance, rollback strategies, and versioning control. Awareness of Java application environments and deployment considerations is a plus for supporting platform-wide consistency and integrations Proactive mindset with a More ❯

identify high-impact opportunities for rapid capability delivery. You'll also be responsible for building robust MLOps pipelines using tools like Airflow and MLflow, ensuring scalable and automated model deployment and governance. What you'll need to succeed Essential Skills: * Bachelor's degree (2:1 or above) in science, engineering, mathematics, or computer science * Strong Python development skills * Practical More ❯

/ELT flows across ERP, WMS, ecommerce, IoT, and APIs Deliver performant, insightful dashboards using Power BI or similar tools Prepare curated datasets for AI/ML workflows and automation Implement CI/CD, Git-based source control, and workspace deployment automation Define and enforce data governance, lineage, and catalog standards Upskill analysts through documentation, enablement, and More ❯

data pipeline integrations. Cloud Platforms: Familiarity with AWS or Azure, including services like Apache Airflow, Terraform, or SageMaker. Data Quality Management: Experience with data versioning and quality assurance practices. Automation and CI/CD: Knowledge of build and deployment automation processes. Experience within MLOps A 1st class Data degree from one of the UKs top 15 Universities More ❯

Role Develop and maintain applications using Angular, React, .NET, SQL, and Entity Framework . Deliver new features, improve existing systems, and ensure code quality. Support CI/CD pipelines, deployment automation, and monitoring tools. Collaborate closely with product, design, and QA teams to deliver high-quality solutions. Provide guidance and mentorship to junior developers. Troubleshoot production issues when More ❯

testing. Running end-to-end tests with Cypress or Playwright. Maintaining at least 80% test coverage across projects. Configuring and running GitHub Actions pipelines. Automating linting, testing, building, and deployment processes with no manual steps. Reviewing pull requests thoroughly and constructively. Enforcing coding standards, type safety, and documentation. Hosting brown-bag sessions on best practices (e.g. Git workflows, VS More ❯

event-driven and API-based integrations. Develop data pipelines and orchestrations using Azure Data Factory and Abinitio to support batch and near-Real Time data integration scenarios. Implement automated deployment and testing of integration components using Azure DevOps or GitHub Actions. Contribute to Infrastructure as Code (IaC) practices using Bicep or Terraform. Set up and maintain observability for integration More ❯

our DataDog integration to bring world class observability and monitoring to our systems. We've recently moved to Gitlab and are currently building out our next generation of automated deployment pipelines. We've incorporated some of the best open-source software into our systems and processes including Kubernetes, Terraform, Helm, Flux, Docker and Renovate. Integrated with some of the More ❯

THE BIG DATA ENGINEER TO HAVE.... Cloud based architectures Microservice architecture or server-less architecture Messaging/routing technologies such as Apache Nifi/RabbitMQ Experience of DevSecOps automated deployment tools such as Jenkins, Ansible, Docker TO BE CONSIDERED.... Please either apply by clicking online or emailing me directly to For further information please call me on . I More ❯

engineering best practices. Requirements Demonstrable experience designing, building, and deploying complex machine learning systems in a production environment. Deep understanding of the full machine learning lifecycle, from research to deployment and a track record of leading the design and implementation of scalable training pipelines for large datasets. Working experience leading complex, cross-functional projects and influencing technical direction across More ❯

analytical and communication skills, and an eagerness to learn and grow Desirable (but not essential): Exposure to modern JavaScript frameworks Familiarity with DevOps tools, CI/CD pipelines, or deployment automation Why Apply? Competitive salary with clear career progression opportunities Supportive team culture with regular training, knowledge sharing, and hackathons A modern office environment with on-site perks More ❯