5 of 5 Contract Continuous Integration Jobs in London

software engineers. Design and implement scalable, reliable and maintainable data engineering solutions on AWS. Apply cloud engineering best practices across data pipelines, data integration and data processing. Implement Continuous Integration (CI), Continuous Delivery (CD), CI/CD pipelines and automated deployment processes. Promote DevOps, Infrastructure … Software Engineer. Proven AWS cloud engineering experience, ideally across AWS data platforms and data engineering services. Strong understanding of data engineering, data pipelines, data integration and cloud-based data processing. Experience with CI/CD, Continuous Integration, Continuous Delivery and DevOps practices. Proficiency in version control ...

WebdriverIO, Playwright or Cypress Open-source JS based libraries or frameworks for API testing, or Postman. Jmeter or K6 for load and performance testing Continuous integration pipelines using Jenkins and AWS or ADO in Azure. Expertise in GitHub Experience using exploratory test techniques to focus testing ...

time processing. Familiarity with Agile methodologies, including pair programming and daily stand-ups. Strong teamwork skills, with a history of sharing code bases and continuous integration practises. Excellent communication skills, with an ability to engage effectively with technical and non-technical stakeholders. Candidates will need to show evidence ...

emerging technologies and industry trends, integrating new tools and libraries into the project as appropriate. Work with version control systems like Git and ensure continuous integration and deployment processes are followed. Collaborate with back-end developers to integrate RESTful APIs and handle data flow effectively. Knowledge and Skills ...

search optimisation) Collaborate with data scientists, engineers, and product stakeholders to translate business requirements into ML solutions Implement and maintain MLOps pipelines to support continuous integration, delivery, and monitoring of models Ensure scalability, performance, and reliability of ML systems within Azure cloud infrastructure Work with large-scale datasets ...