Teams at CDL Software

Build, test, monitor, and maintain AWS-based data pipelines, databases, infrastructure, and deployment workflows. Apply DevOps, CI/CD, Infrastructure as Code, security, observability, governance, and AI-assisted engineering practices. Investigate data quality and platform issues, design data models, support migrations and modernisation, resolve incidents, document solutions, collaborate with stakeholders, and mentor less experienced engineers.

Develop and maintain Java applications and services, own features end to end, contribute to technical design, and deliver secure, scalable, well-tested software. Support CI/CD pipelines, deployment processes, cloud-native platforms, and continuous engineering improvement. Collaborate with Product and Platform teams, participate in squad delivery, and adopt AI-supported development approaches. The role requires enterprise Java, API and microservices experience, software engineering best practices, DevOps exposure, and experience working in an AI development environment.

Design, build and support AWS-based platform services using Infrastructure as Code and CI/CD. Investigate and resolve infrastructure and performance issues, automate deployments and operations, contribute to migrations and reliability, and use AI-assisted tools to improve delivery and automation while collaborating with engineering, architecture and security teams.