What you'll do

In your new role, you’ll be working within a feature team to engineer software, scripts and tools, as well as liaising with other engineers, architects and business analysts across the platform.

You’ll also be:

• Producing complex and critical software rapidly and of high quality which adds value to the business
• Working in permanent teams who are responsible for the full life cycle, from initial development, through enhancement and maintenance to replacement or decommissioning
• Collaborating to optimise our software engineering capability
• Designing, producing, testing and implementing our working software solutions
• Working across the life cycle, from requirements analysis and design, through coding to testing, deployment and operations

The skills you'll need

To take on this role, you’ll need a background in software engineering, software design, and architecture, and an understanding of how your area of expertise supports our customers. You’ll need at least six years of experience developing enterprise-grade applications with strong proficiency in Java, Spring Boot and Microservices along with hands-on expertise in designing and building scalable systems, REST APIs and event-driven architectures using modern design patterns and process orchestration principles.

You'll also need experience in version control like Git and tools such as Maven, IntelliJ, Jenkins, Docker, Kubernetes, Linux shell scripting, and JSON. Familiarity with CI/CD pipelines and cloud platforms like AWS is expected, while working knowledge of frontend technologies such as ReactJS, JavaScript, Angular, Redux, Saga, MUI, HTML5, CSS3, and UI/UX concepts along with messaging tools like Apache Kafka, will be considered a strong advantage.

You’ll also need:

• Experience of working with development and testing tools, bug tracking tools and wikis
• Experience in multiple programming languages or low code toolsets
• Experience of DevOps and Agile methodology and associated toolsets
• A background in solving highly complex, analytical and numerical problems
  • Experience of implementing programming best practice, especially around scalability, automation, virtualisation, optimisation, availability and performance