{"id":3448205,"url":"https://alion.io/job/ntt-data-enterprise-product-engineer","title":"Enterprise Product - Engineer","company":{"id":50348,"name":"NTT DATA","domain":"nttdata.com","url":"https://alion.io/company/ntt-data","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":94,"open_postings":98,"ghost_share":0,"stale_share":0.439,"repost_share":0.02,"time_to_fill_p50_days":17,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15000,"max_usd":35000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":168},"experience_years_min":8,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Kotlin","optional":false},{"name":"Kubernetes","optional":false},{"name":"Rest API","optional":false},{"name":"Agile","optional":true},{"name":"Databricks","optional":true},{"name":"ElasticSearch","optional":true},{"name":"Grafana","optional":true},{"name":"Master Data Management","optional":true},{"name":"Power BI","optional":true}],"status":"closed","first_seen_at":"2026-10-29T05:53:04Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-01T19:41:30Z","board_verified":false,"closed_at":"2026-11-01T19:41:30Z","days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Req ID: 396555\nNTT 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.\nWe are currently seeking a Enterprise Product - Engineer to join our team in Hyderabad, Telangana (IN-TG), India (IN).\nJob Description:\nWe 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.\nThis 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.\nWhat You'll Do\nDesign, develop, and operate scalable Product Data Master (PDM), PIM, Product Catalog, and Product Configuration platforms on Azure Kubernetes Service (AKS).\nBuild and support integrations between Product Data Master and enterprise platforms including ERP, PLM, CPQ, DAM, CMS, eCommerce, and distributor systems.\nDevelop microservices, REST APIs, and event-driven workflows that process and distribute product data across multiple platforms.\nOwn software delivery end-to-end, including infrastructure-as-code, CI/CD pipelines, Kubernetes deployments, monitoring, and operational support.\nWrite automated tests as part of shipping, not as a follow-up.\nBuild observable systems using logging, metrics, tracing, and telemetry.\nBuild data-driven capabilities that improve product intelligence, catalog completeness, and operational efficiency.\nReview peer code, mentor engineers, and contribute to engineering best practices.\nPartner with product managers, architects, and business stakeholders to translate business needs into scalable technical solutions.\nWhat We're Looking For\n8+ years of experience building and operating enterprise software products in production environments.\nStrong understanding of object-oriented design, SOLID principles, design patterns, and distributed system architecture.\nDeep 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.\nExperience building microservices, REST APIs, and event-driven architecture.\nHands-on production experience with Azure, Kubernetes, Docker, CI/CD, and cloud-native operations. \nExperience integrating enterprise applications using APIs and modern integration patterns.\nExperience with relational and NoSQL databases, data modeling, and scalable data platforms. \nComfort owning infrastructure, deployment pipelines, and operational support responsibilities.\nStrong troubleshooting, communication, and collaboration skills. \nGenuine interest in the engineering domain. Curiosity about how products are designed, revised, and released matters more here than it does on most teams.\nClear writing. Design notes and runbooks are part of the job.\nAuthorized to work in the United States without sponsorship.\nNice to Have\nExperience with Product Data Management (PDM), Product Information Management (PIM), Product Catalog, Pricing, CPQ, DAM, or MDM platforms.\nExperience building product master data platforms, including taxonomy, classification, attributes, and product relationships.\nExperience integrating ERP, PLM, PIM, CPQ, DAM, CMS, and eCommerce platforms.\nExperience with Elasticsearch, Databricks, Graph databases, and analytics platforms.\nExperience applying AI/Generative AI to catalog intelligence, metadata enrichment, classification, or attribute generation.\nExperience with Agile delivery methodologies and globally distributed teams.\nExperience with observability and reporting tools such as Grafana and Power BI.\nOn AI-Assisted Development\nWe 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.\nAbout NTT DATA\nNTT 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.\nWhenever 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.\nNTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. 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