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. Since 1841, 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.
We are seeking a highly motivated and skilled Software Engineer with strong expertise in Python and Google Cloud Platform (GCP) to design and build scalable, cloud-native applications. The ideal candidate will have experience in developing distributed, event-driven systems and modern data platforms, with a focus on performance, reliability, and automation.
This role involves working closely with cross-functional teams across Cloud, Data, and Platform Engineering to deliver high-impact solutions supporting enterprise-scale systems.
This position internally titled as Senior Software Engineer
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- Develop scalable, distributed software systems and work on other projects that require research, awareness, interactivity and the ability to ask the right questions.
- Design, develop, debug, support, maintain and test software applications. Work closely with other teams across a wide breadth of applications and solutions.
- Assist SME in providing consultation to help ensure new and existing software solutions are developed with insight into industry best practices, strategies, and architectures; and pursue professional growth.
- Help improve code quality through writing unit tests, automation and performing code reviews. Identify, plan and ensure successful incremental execution of application modernization, re-platform and refactoring efforts.
- Recognize opportunities for continuous improvement to a technology solution whether it’s optimizing the performance of the system or identifying tech debt.
- Experience with GCP Dataflow / Apache Beam
- Familiarity with Terraform or Infrastructure as Code (IaC)
- Exposure to Kubernetes (GKE)
- Experience with data lake / data warehouse architecture
- Knowledge of observability and monitoring frameworks
- Experience working in Agile/Scrum delivery models
- Experience integrating AI/ML or Generative AI solutions into application
- 5–8 years of experience in software engineering and application development
- Strong programming expertise in Python
- Hands-on experience with Google Cloud Platform (GCP) services, including: BigQuery Cloud Run Pub/Sub
- Experience with Kafka or similar streaming platforms
- Solid understanding of distributed systems and event-driven architecture
- Experience with CI/CD tools, preferably Harness
- Experience with containerization (Docker) and microservices-based design
- Strong analytical, troubleshooting, and problem-solving skills
- Show an ownership mindset in everything you do; be a problem solver, be curious and be inspired to take action, be proactive, seek ways to collaborate and connect with people and teams in support of driving success.
- Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.
- Where applicable, fluency in English and languages relevant to the working market.