01Key Responsibilities
Contribute to the design, development and delivery of features and platform capabilities for the Direct+ API suite.
Build and maintain RESTful services using Java, Spring Boot and cloud-native technologies.
Participate in technical design discussions, proof of concepts and implementation planning.
Write clean, maintainable and testable code with appropriate unit and integration test coverage.
Participate in code reviews and apply feedback to improve code quality and engineering practice.
Support production services by helping investigate issues, troubleshoot defects and contribute to root-cause analysis.
Collaborate with Product, QA, SRE and other engineering teams to deliver reliable customer-facing capabilities.
Apply secure development practices and contribute to remediation of vulnerabilities and technical debt.
Use AI-assisted development tools responsibly to improve productivity, code quality, documentation and testing, while applying engineering judgement, security awareness and appropriate review of generated outputs.
Key Skills:
Bachelors degree in Computer Science, Software Engineering or a related discipline, or equivalent practical experience.
3+ years of experience developing commercial software applications or services.
Experience with Java, Spring Boot, REST APIs, JSON, JUnit/Mockito and Maven or similar build tooling.
Good understanding of object-oriented design, microservices and API development principles.
Understanding of cloud computing concepts and interest in cloud-native delivery practices.
Familiarity with CI/CD pipelines, source control, automated testing and agile delivery practices.
Ability to investigate software issues and work with others to resolve defects across application and service layers.
Good analytical and problem-solving skills, with the ability to make practical engineering decisions with guidance where needed.
Clear communicator who can explain technical issues, risks and options to engineering peers and stakeholders.
Awareness of secure coding practices, data protection and operational resilience.
Interest in using AI-assisted engineering tools to support software development, testing, troubleshooting and documentation.
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