Java Developer (R-19995)

Dun & Bradstreet • Data & Analytics • Financial Services • Python • JavaScript • Java • TypeScript • SQL • Scala • 2 days ago

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Salary

≈ $26k – $55k per year (Estimated)

Location

Remote/Hybrid (Hyderabad, India)

Seniority

Senior · 6+ years exp

Employment

Full-Time

Overview

Company

Impact

Profile match

Dun & Bradstreet

Dun & Bradstreet is a global provider of business decisioning data and analytics headquartered in Jacksonville, Florida, and founded in 1841. The company offers a wide range of solutions including business credit reports, risk management tools, supply chain visibility, and sales and marketing data anchored by its proprietary D-U-N-S Numbering system. It operates globally, maintaining a commercial database of hundreds of millions of business records to serve clients in the public sector, finance, and enterprise markets.

dnb.com • HQ: Jacksonville, United States • Business Intelligence • Data & Analytics • Financial Services • 1001-5000 employees • Est. 1841

Job Summary:

We are looking for a Software Engineer II with 6+ years of relevant hands-on experience in Java backend development to design, build, and support scalable enterprise applications. The role requires practical experience with Java, Spring Boot, cloud platforms, databases, integrations, CI/CD, Agile delivery, and AI-assisted engineering tools

Key Responsibilities:

Design, develop, test, and maintain Java-based enterprise applications using Spring Boot, REST APIs, and microservices.
Develop and support cloud-enabled applications on AWS and Google Cloud Platform.
Build and maintain integrations using Web Services, Oracle Service Bus, XML, XSL/XSLT, and FTL.
Work with Oracle, MySQL, and Microsoft SQL Server for application development, query optimization, and performance tuning.
Support CI/CD pipelines, automation scripts, deployments, troubleshooting, and production issue resolution.
Collaborate with product, QA, DevOps, architecture, and business stakeholders in an Agile delivery environment.
Demonstrate the ability to work on multiple applications and priorities in parallel, while maintaining delivery quality, responsiveness, and clear communication.
Use AI-assisted tools such as GitHub Copilot, Microsoft Copilot, Claude, and Gemini Code Assist to improve productivity, quality, testing, and documentation.

Key Skills:

Backend Engineering: Java 1.8+, J2EE, Spring Framework, Spring Boot, REST APIs, and microservices.
Cloud and DevOps: AWS, Jenkins CI/CD pipelines, and cloud-based application support (GCP good to have).
Database: Oracle, MySQL, Microsoft SQL Server, SQL development, query optimization, and performance tuning.
Integration: Web Services, Oracle Service Bus(good to have), XML, XSL/XSLT, FTL, JBoss, and Apache Tomcat.
Tools: Shell Scripting, Jira, Confluence, Agile delivery, and technical documentation.
AI-Assisted Engineering: GitHub Copilot, Microsoft Copilot, Claude, Gemini Code Assist, or similar tools.
Preferred Exposure: Terraform, Angular, Python, Hadoop, or Scala.

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