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Software Engineer II

Dun & Bradstreet Verified employer

Full time Hybrid
Experience
5–8 years
Location
Hyderabad
Work mode
Hybrid
Salary
₹8L – ₹21L a year estimatetypical for IT Jobs in Hyderabad, 70 posts
Posted 27 days ago Last checked 45 min ago

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Role at a glance

You will
  • Partner with development and product teams to ensure product quality in a fast-paced Agile environment
  • Create and maintain test strategies, test plans, test cases, test data and traceability for new features and defect fixes
  • Write and maintain automated tests for data-validation workflows
Experience
5–8 years
Must-have skills
Azure DevOpsC#CI/CDGitHub ActionsGitLab CI/CDJIRA
Work mode
Hybrid

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Job description

Location: Hyderabad - India

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.

B3 Quality Assurance Engineer – MDM Technology

Our MDM team is seeking an experienced Quality Assurance Engineer, to join an established engineering team. You will work on our D&B Connect application, a strategic self-service Master Data Management (MDM) platform that enables customers to cleanse, match, enrich, monitor, and manage their first-party data using D&B's Commercial Graph and D-U-N-S®-anchored data assets. This serves as our primary MDM customer-facing platform, accessed via web UI plus CRM, Marketing and Cloud Data Warehouse integrations with future support for AI headless access via MCP tools.

The QA engineer will create and maintain tests to ensure software meets user and product needs. This includes developing test plans, tracking quality assurance metrics, documenting defects and supporting issue resolution and continuous process improvement.

The successful candidate should be data curious and have a track record of using AI tools to bring greater efficiency to the software testing lifecycle.

Team Overview

  • Design and evolve enterprise-grade Master Data Management (MDM) platforms powering core business entities (e.g., customers, suppliers, leads, reference data)
  • Solve 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 Responsibilities:

    • Partner with development and product teams to ensure product quality in a fast-paced Agile environment
    • Create and maintain test strategies, test plans, test cases, test data and traceability for new features and defect fixes
    • Write and maintain automated tests for data-validation workflows
    • Integrate and maintain automated test suites within CI/CD pipelines to support continuous testing, quality gates and release validation throughout the software delivery lifecycle
    • Perform manual functional, regression, integration, and exploratory testing when automation is not suitable
    • Validate multi-tiered, data-driven applications processing large volumes of records
    • Define and track quality metrics including defect counts, severity, test execution, coverage and release status
    • Identify, document, report, track and verify issues through to resolution
    • Perform root-cause analysis and collaborate on preventive quality improvements
    • Support product deployments, release validation and QA sign-off
    • Partner with support teams to reproduce and troubleshoot customer-reported issues
    • Proactively improve quality through collaboration, automation, process improvement and innovative thinking
    • Stay current with emerging AI technologies, tools, and best practices

Key Requirements:

  • Bachelor's degree in Computer Science, Information Systems or a related field, or equivalent relevant experience
  • Typically 5-8 years of relevant experience, including 5+ years in software quality assurance or quality engineering
  • Experience designing and executing functional, integration, system, regression and UAT testing
  • Understanding of continuous integration, continuous delivery, quality gates, automated test reporting and release validation processes
  • Strong defect management, root-cause analysis and troubleshooting skills
  • Experience in manual testing across web, API, database and enterprise applications
  • Experience in test automation using Playwright, Selenium, Robot Framework or similar tools
  • Experience integrating automated test frameworks into CI/CD pipelines using GitHub Actions, Jenkins, Azure DevOps, GitLab CI/CD or similar platforms
  • Experience with JIRA, Zephyr, Azure DevOps or similar test management tools
  • Proficiency in Java, Python or C# for test automation and scripting
  • Experience in SQL and database validation, including complex queries and joins
  • Experience working in Agile/Scrum environments
  • Knowledge of API testing using Postman, REST Assured or equivalent tools
  • Demonstrated experience using AI tools such as Copilot, Cursor, Gemini, ChatGPT, or Claude to support test case generation, test automation, defect analysis, requirements reviews, CI/CD pipeline optimisation, and overall QA productivity improvements.
  • Excellent analytical, written and verbal communication, cross-functional collaboration and stakeholder management skills

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.

Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever, a subsidiary of Employ Inc. Your use of this page is subject to Employ's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.

Key skills

Required

Azure DevOpsC#CI/CDGitHub ActionsGitLab CI/CDJIRAJavaJenkinsManual TestingPlaywrightPostmanPythonQuality AssuranceREST AssuredSQLSeleniumStakeholder ManagementTest Automation

Soft skills

CollaborationCommunication

Job market insights

59active Azure DevOps jobs in Hyderabad
90active C# jobs in Hyderabad
354active CI/CD jobs in Hyderabad
₹8L – ₹21L advertised yearly salary for IT Jobs in Hyderabad (middle half of 70 posts that show a salary; median ₹15L)
31 more open jobs at Dun & Bradstreet

Most IT Jobs posts in Hyderabad ask for 3–6 years of experience (46% of 1087 that say).

Hiring most for IT Jobs in Hyderabad

  • Salesforce50 open jobs
  • JPMorgan Chase38 open jobs
  • Kyndryl25 open jobs

Jobs asking for Azure DevOps in Hyderabad also ask for

  • CI/CD66%
  • Microsoft Azure59%
  • Git42%
  • Python42%
  • Jenkins37%

From live job posts on CoreHRx, updated 6 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this Software Engineer II job?

The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹8L – ₹21L a year (typical for IT Jobs in Hyderabad, 70 posts).

How much experience does this job need?

The post asks for 5–8 Yrs experience.

Where is this job based?

In Hyderabad (hybrid).

What kind of job is this?

It is a full time job.

This guide is for Indian job seekers preparing for Java backend roles, from freshers facing campus and first-job interviews to experienced developers moving into senior positions at product companies and IT services firms. It covers what interviewers ask most in 2025 and 2026 on Java 17 and 21 and Spring Boot 3: OOP, collections, equals and hashCode, streams, exceptions, concurrency and JVM memory, then dependency injection, auto-configuration, REST controllers, validation, JPA and Hibernate, security, microservices and testing. Questions are grouped as easy, medium and hard. Read each answer, compile the code yourself and practise explaining it aloud.

Questions you may be asked

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