Software Engineer - Java POS

About the role

A client is modernising its enterprise Retail Point-of-Sale (POS) platform and is looking for Java engineers with 5 to 10 years of experience, strong Java skills and hands-on AI experience. Experience with enterprise Retail POS systems is ideal. The role sits within a Scrum team and involves both development and support.

Key responsibilities

• Contribute to the modernisation of the POS platform, moving legacy functionality to modern, cloud-native services.
• Build and integrate AI-enabled features into POS and retail workflows.
• Use AI-assisted development tools to speed up coding, testing, debugging and documentation while keeping code quality, security and maintainability.
• Help move the team toward continuous integration, continuous delivery, cloud migration and test-driven development.
• Work with defect tracking, source control and release systems, and assist in peer code reviews.
• Transition to support as needed and help drive build and release plans for production deployment.
• Support the development manager with high-level software strategy and work with business, infrastructure and security teams on enhancements and bug fixes.
• Build metrics into the system, with real-time alerting, reporting and dashboards for uptime and performance.

Required profile

• 5 to 10 years of experience analysing, designing, coding, testing, installing and maintaining complex software.
• Experience with enterprise Retail POS systems; understanding of enterprise retail business systems and the retail industry.
• Ability to communicate technical information to non-technical audiences and work in diverse, cross-functional teams.

Required skills

• Strong Java and Spring Boot, including object-oriented design and design patterns.
• Hands-on AI experience, such as building or integrating AI/ML or LLM-based features.
• Cloud platforms such as Azure or GCP, and NoSQL databases such as MongoDB or Azure Cosmos DB.
• Transactional databases such as PostgreSQL or MariaDB, Apache Kafka and event-driven messaging.
• RESTful APIs and microservices, JSON and XML payloads; REST and SOAP integrations.
• Knowledge of Python, JavaScript, C# and React is a plus.
• Kubernetes, Docker, Terraform, CI/CD pipelines and testing tools.