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Intermediate Software Engineer – Java, DevOps & AI @ CDL Software

GBOnsiteFull-time
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About this role

We're looking for an Intermediate Java Developer to join our engineering team. This role is suited to a proficient engineer who can deliver high-quality software, take ownership of features, and contribute to continuous improvement within their squad. You will work across Java development, DevOps practices, and emerging AI-driven approaches to support CDL’s products and platforms. About CDL CDL is one of the UK’s leading software development houses, employing over 600 people at its campus in Stockport. It has a consistent history in the high-volume retail insurance sector. CDL has spearheaded developments in the aggregator, web and telematics space, including connected home, enrichment and self-service solutions. As a result, the company’s robust and innovative technologies have enabled its customers to thrive in the highly competitive UK insurance marketplace. We have built a collaborative and creative culture, leveraging AI-driven solutions to enhance our products, processes and decision-making. We pride ourselves on cultivating an inspiring working environment with our employees at the heart of our company. In a nutshell we are the market leading software house in our industry, creating the software, websites & apps for the Insurance & Finance sector across the UK. If you were to go on a price comparison website, approximately 65% of the companies on there are our clients! Why Join CDL Opportunity to work on enterprise-scale, cloud-native platforms Strong focus on engineering quality, automation, and modern practices Growing adoption of AI-supported development approaches Clear and transparent career progression framework Collaborative environment across squads and technology communities Design, build, and maintain Java-based applications and services Deliver well-tested, secure and scalable solutions aligned to CDL standards Take ownership of features or components end-to-end Contribute to solution design and technical decisions Support and improve CI/CD pipelines and deployment processes Collaborate with Product and Platform teams Participate in team ceremonies and squad delivery Contribute to continuous improvement and adoption of AI tools

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