4 of 4 Test Automation Jobs in Ipswich

live services. Key Responsibilities Maintain, enhance, and secure existing Java applications Design and develop new applications, features, and microservices Build and maintain automated test suites using TDD principles Create and manage CI/CD pipelines Support monitoring, troubleshooting, and live operational issues Collaborate with architecture, infrastructure, and testing teams ...

Java 17+ and Spring Boot 4 framework expertise * Experience with version control using Git and CI/CD pipelines (GitLab) * Knowledge of containerisation and automation tools such as Ansible and Gradle * Familiarity with network concepts, RADIUS, and SQL database queries (advantageous) * A proactive, collaborative approach with a passion … environment, contributing to daily stand-ups and sprint planning Additional skills that would be beneficial: * Understanding of IP networking and RADIUS protocols * Experience with automation frameworks What we're looking for: * A self-starter eager to develop impactful software solutions * Someone committed to security best practices and operational excellence ...

compliance, including upgrading PCI-compliant applications that support credit card and ApplePay transactions Testing & CI/CD: Build pipelines, develop automated tests, and utilize test-driven development (TDD) techniques to support application code DevOps & Deployment: Plan and deploy changes to the Public Wifi platform, ensure service availability, monitor systems … resolve any in-life operational issues or bugs identified during testing Note: On occasion, this will require some overnight working alongside the test teams Agile Collaboration: Take part in daily stand-ups, break down work into manageable user stories, and work alongside architects and systems/server teams ...

design team alongside our device design experts using a range of tools and techniques. This role will span from model building through full simulation automation and optimization. The role will require extensive knowledge of a range of machine learning techniques including multi-parameter optimization and inverse design. Automation of test data analysis and correlation to design variants is also necessary to re-calibrate and refine the models. Key Requirements: A PhD in Computing Science, Physics, Electrical or Electronic Engineering, or a related engineering discipline. Deep knowledge and implementation of machine learning with examples of collaborative working ...