5 of 5 Build Automation Jobs in Nottinghamshire

Management Engineer, your main responsibilities are: Oversee and optimise the selection, configuration, and maintenance of software development, integration, and testing tools (e.g., version control, build automation, static analysis, debugging, and CI/CD tools). Define, implement, and continuously improve software development processes, including requirements gathering, design, coding … optimizing toolchains in an automotive or embedded systems environment, ensuring alignment with industry standards. Practical knowledge of tools such as version control (e.g., Git), build automation (e.g., Jenkins), CI/CD, static analysis, and debugging, along with experience configuring and maintaining them. Ability to define, implement, and manage More ❯

role in building the internal tools, services, and environments that enable software engineers to deliver high-quality features quickly and reliably. Key Responsibilities: Design, build, and maintain robust CI/CD pipelines to accelerate the software development lifecycle Develop internal tools and services in C# to support build automation, deployment, and testing Refactor and enhance existing codebases to improve stability, performance, and maintainability Automate environment provisioning for development, testing, and production Support migration of workloads to cloud infrastructure (Azure or AWS) Monitor and improve build infrastructure performance, helping scale services effectively Collaborate closely with software … field, or equivalent experience Strong programming skills in C# and familiarity with object-oriented design principles Solid experience with DevOps practices and software delivery automation Hands-on experience building and deploying containerized applications (e.g., Docker) Familiarity with Windows systems and virtualization platforms A passion for improving engineering workflows and More ❯

thinking technology team. This is an exciting opportunity to take ownership of DevOps within development teams, champion best practices, and drive a culture of automation and efficiency across the software delivery lifecycle. You will be helping them implement a strong CI/CD process for a fully automated release … process. The Company Operating within the Lloyd's and UK insurance markets, our client is a data-driven insurer that combines intelligent automation with deep industry expertise. They work in an agile, fast-paced environment, delivering innovative solutions to complex challenges. Their technology team functions like a startup within … React applications. Experience with SonarQube or similar Drive best practices in cloud-native application deployment on Azure . Work closely with developers to enhance build automation, release management, and deployment strategies. Optimise observability, logging, and monitoring within development environments. Troubleshoot and resolve build, deployment, and performance issues. More ❯

performance agile environment. Architect and implement secure solutions for clients on-premise and in the cloud, utilising modern DevSecOps tooling and principles, and an automation-led testing approach. We are looking for experience in the following skills: Our core language for this role is Java (Spring/MVC), so … least one of the major cloud providers (AWS, Google Cloud, or Azure), with a focus on Infrastructure as Code. You have made use of build automation tools to support a CI/CD pipeline You keep Accessibility, Security, and Performance as a priority when designing or building software More ❯

nuances. Design, develop, and deploy standalone and micro-applications to serve AI/ML models, including Hugging Face Transformers and other pre-trained architectures. Build, train, and evaluate ML models using services such as AWS SageMaker, Bedrock, Glue, Athena, Redshift, and RDS. Develop and expose secure APIs using Apigee … enabling easy access to AI functionality across the Manage the entire ML lifecycle—from training and validation to versioning, deployment, monitoring, and governance. Build automation pipelines and CI/CD integrations for ML projects using tools like Jenkins and Solve common challenges faced by Data Scientists, such as … using DevOps pipelines. Managing the entire ML lifecycle—from training and validation to versioning, deployment, monitoring, and governance. Post-model deployment MLOps experience. Building automation pipelines and CI/CD integrations for ML projects using tools such as Jenkins and Maven. Solving common challenges faced by Data Scientists, including More ❯