Software Engineer I (R-19667)

Shape the Future with Dun & Bradstreet

At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.

As a Software Engineer with Dun & Bradstreet, you will help design, build and support highly available, low-latency RESTful APIs that power the D&B Direct+ platform. You will work as part of an agile engineering team, contributing to well-defined features and service improvements from development through testing, deployment and production support.

We’re looking for an engineer who can write clean and maintainable code, collaborate effectively with peers and apply sound engineering fundamentals to deliver reliable, scalable and secure solutions. You should be able to prioritize well, communicate clearly and bring an analytical approach to solving technical problems.

Key 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:

Bachelor’s 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.

All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please visit https://bit.ly/3LMn4CQ.