Enterprise Product - Engineer

Req ID: 396555

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Enterprise Product - Engineer to join our team in Hyderabad, Telangana (IN-TG), India (IN).

Job Description:

We are seeking a highly skilled and motivated Senior Software Engineer to join our Enterprise Product team focused on Product Data Master (PDM), Product Information Management (PIM), Product Catalog, and Product Configuration systems.

This role will design, develop, and operate scalable enterprise solutions that serve as the foundation for product data across ERP, PLM, CPQ, eCommerce, DAM, and other enterprise platforms. You will partner with product managers, architects, and global engineering teams to deliver secure, reliable, and scalable solutions that enable business growth and operational excellence.

What You'll Do

• Design, develop, and operate scalable Product Data Master (PDM), PIM, Product Catalog, and Product Configuration platforms on Azure Kubernetes Service (AKS).
• Build and support integrations between Product Data Master and enterprise platforms including ERP, PLM, CPQ, DAM, CMS, eCommerce, and distributor systems.
• Develop microservices, REST APIs, and event-driven workflows that process and distribute product data across multiple platforms.
• Own software delivery end-to-end, including infrastructure-as-code, CI/CD pipelines, Kubernetes deployments, monitoring, and operational support.
• Write automated tests as part of shipping, not as a follow-up.
• Build observable systems using logging, metrics, tracing, and telemetry.
• Build data-driven capabilities that improve product intelligence, catalog completeness, and operational efficiency.
• Review peer code, mentor engineers, and contribute to engineering best practices.
• Partner with product managers, architects, and business stakeholders to translate business needs into scalable technical solutions.

What We're Looking For

• 8+ years of experience building and operating enterprise software products in production environments.
• Strong understanding of object-oriented design, SOLID principles, design patterns, and distributed system architecture.
• Deep fluency in at least one modern backend language and the ability to learn another quickly. We build primarily in C#/.NET, so that is ideal. Strong Java, Go, or Kotlin engineers who are willing to work in C# are equally welcome.
• Experience building microservices, REST APIs, and event-driven architecture.
• Hands-on production experience with Azure, Kubernetes, Docker, CI/CD, and cloud-native operations.
• Experience integrating enterprise applications using APIs and modern integration patterns.
• Experience with relational and NoSQL databases, data modeling, and scalable data platforms.
• Comfort owning infrastructure, deployment pipelines, and operational support responsibilities.
• Strong troubleshooting, communication, and collaboration skills.
• Genuine interest in the engineering domain. Curiosity about how products are designed, revised, and released matters more here than it does on most teams.
• Clear writing. Design notes and runbooks are part of the job.
• Authorized to work in the United States without sponsorship.

Nice to Have

• Experience with Product Data Management (PDM), Product Information Management (PIM), Product Catalog, Pricing, CPQ, DAM, or MDM platforms.
• Experience building product master data platforms, including taxonomy, classification, attributes, and product relationships.
• Experience integrating ERP, PLM, PIM, CPQ, DAM, CMS, and eCommerce platforms.
• Experience with Elasticsearch, Databricks, Graph databases, and analytics platforms.
• Experience applying AI/Generative AI to catalog intelligence, metadata enrichment, classification, or attribute generation.
• Experience with Agile delivery methodologies and globally distributed teams.
• Experience with observability and reporting tools such as Grafana and Power BI.

On AI-Assisted Development

We expect our engineers to use AI tooling and get real leverage from it across implementation, debugging, testing, and documentation. The order matters: strong fundamentals first, AI as an accelerant second.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

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