Dun & Bradstreet
Website:
dnb.com
Company:
https://www.linkedin.com/company/dun-&-bradstreet
Seniority: Not Applicable
Industries: Information Services
Job details:
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.
Business Unit: Technology
Function: Operations
Location: Mumbai
Key Responsibilities:• Lead cross-functional engineering teams responsible for application development, support, cloud modernization, and digital transformation initiatives
• Own the end-to-end delivery and operational stability of enterprise platforms, including Salesforce and other customer- facing and back-office applications
• Partner with business stakeholders, Product Owners, Sales, Operations, and Technology teams to define product roadmaps and prioritize investments
• Drive application modernization, cloud adoption, automation, DevOps, and AI-enabled engineering practices
• Provide architectural leadership for scalable, secure, and resilient systems
• Manage production support, incident response, SLA compliance, performance optimization, and continuous improvement initiatives
• Build, mentor, and develop high-performing engineering teams while creating succession and capability-building plans
• Lead vendor management, budget planning, resource allocation, and cost optimization efforts
• Ensure compliance with security, risk, audit, and regulatory requirements
• Champion a strong product mindset by focusing on customer value, business outcomes, user experience, innovation, and data-driven decision-making
Key Requirements:
- 12+ years of software engineering experience, including 5+ years in engineering leadership roles managing enterprise-scale application development teams
- Strong expertise in Salesforce ecosystem (Sales Cloud, Service Cloud, Revenue Cloud/CPQ), CRM transformation, integrations, and data migration initiatives
- Extensive experience in Financial Services, FinTech, Banking, Payments, Credit & Risk, or Data Services domains with a strong understanding of business processes
- Proven capability to design and deliver cloud-native, scalable solutions leveraging AWS, serverless architectures, APIs, microservices, and application modernization practices
- Hands-on experience with .NET/C#, REST APIs, event-driven architectures, SQL Server, enterprise data platforms, ETL, and master data management
- Strong product mindset with the ability to translate business challenges into technology solutions, prioritize effectively, and drive measurable customer and business outcomes
- Expertise in DevOps and engineering excellence, including CI/CD pipelines, GitHub, QA automation, Infrastructure as Code, monitoring, observability, and Agile/SCRUM methodologies
- Good understanding of secure software development, compliance, identity and access management, AI-assisted development, Generative AI, and intelligent process automation, complemented by excellent stakeholder management and leadership 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.
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.
Click on Apply to know more.
