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Senior Engineer (R-20002)

Dun & Bradstreet

Responsibilities

  • 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
  • Partner with SRE team to deploy and manage data infrastructure on cloud platforms such as GCP or AWS
  • Demonstrate strong customer focus and end-to-end ownership of applications, including participation in incident response activities and post-incident reviews when customer-impacting issues occur.
  • Proactively improve quality through collaboration, automation, process improvement and innovative thinking
  • Leverage AI-enabled development tools to improve engineering productivity, software quality, development velocity, and operational efficiency.

Requirements

  • Bachelor’s degree in Computer Science or related fields
  • 8+ years of experience managing and deploying commercial software products

Advanced Linux knowledge

  • Strong understanding of triaging data & performance issues and how to resolve them while demonstrating a strong sense of urgency
  • Independent thinker able to multi-task in a fast-paced environment
  • Proven excellence with Java and/or Scala, Python, Spark/PySpark and scripting languages
  • Ability to manage multiple projects and initiatives in parallel
  • Proven experience managing solutions on GCP or AWS utilizing a broad set of the services available

Proven experience working on large-scale, distributed systems

  • 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
  • Demonstrated growth mindset with a commitment to continuous learning, professional development, mentoring, and knowledge sharing.
  • Demonstrated experience using AI tools such as GitHub Copilot, Cursor, ChatGPT, Gemini, or Claude to improve software development, troubleshooting, automation, and engineering productivity.

Team Overview

Design and evolve enterprise-grade

  • Master Data Management (MDM) platforms powering core business entities (e.g., customers, suppliers, leads, reference data)
  • Address challenges in data quality identity resolution integration, and governance at scale
  • Build highly available, resilient systems that support both real-time and batch workloads across global regions
  • Collaborate with product, data, and platform teams to transform business needs into scalable technical solutions

Key Requirements

SDLC-tooling experience with Maven, Github, Jenkins, Terraform