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Qentelli Tech Stack

Enterprise transformation and cloud modernization services

Technology, Information and Internet Dallas, Texas 1,001–5,000 employees Founded 2015 Privately Held

Qentelli is a services-and-platforms company focused on digital transformation and cloud adoption for mid-market and enterprise clients. The tech stack reveals a full-service delivery model: multi-cloud (AWS, Azure, GCP) with Oracle ERP specialization, paired with modern app development (Node.js, React Native, TypeScript) and automation tooling (Selenium, Jenkins, Cucumber). Active hiring skews heavily engineering and senior-level, with concurrent work on low-code automation, modernization roadmaps, and Oracle supply-chain implementations — suggesting they're scaling delivery capacity across multiple concurrent engagements rather than building a single product.

Tech Stack 92 technologies

Core StackAWS React Native JavaScript TypeScript Node.js NestJS Express GraphQL Redux PostgreSQL MySQL MongoDB Selenium Java Python JUnit Jenkins Azure GCP Oracle Fusion Cloud Oracle SCM Oracle Cloud NET Core Zustand MobX OAuth JWT Appium TestNG Cucumber+59 more

What Qentelli Is Building

Challenges

  • Planning transformation initiatives
  • Forecasting accuracy improvement
  • Large-scale modernization
  • Delivery governance
  • Delivery risks
  • Enterprise-scale data quality initiatives
  • Data integrity across systems
  • Root cause analysis for data discrepancies

Active Projects

  • Joint marketing campaigns with hyperscalers
  • Partner-led industry events management
  • Sales enablement collateral development
  • End-to-end implementation of oracle fusion cloud supply chain planning modules
  • Integration of planning modules with inventory, procurement, manufacturing, maintenance, and order management
  • Data migration and master data setup for planning modules
  • Modernization roadmaps
  • Delivery governance models
  • Engineering excellence initiatives
  • Low-code automation suite integration

Hiring Activity

Steady10 roles · 4 in 30d

Department

Engineering
8
Data
1
Marketing
1

Seniority

Senior
6
Lead
2
Mid
2

Notable leadership hires: Transformation Lead

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About Qentelli

Qentelli, founded in 2015 and based in Dallas, is a digital transformation consulting and delivery firm serving enterprise customers on cloud adoption, legacy system modernization, DevOps, and quality engineering. Their service model centers on Oracle Fusion Cloud implementations, multi-cloud strategy and migration, and process automation using both proprietary frameworks and low-code platforms. They operate across data engineering, application modernization, and supply-chain transformation, with delivery teams distributed across the United States and India. The company builds internal IP around AI-based tooling and methodology playbooks to accelerate customer outcomes.

HeadquartersDallas, Texas
Company Size1,001–5,000 employees
Founded2015
Hiring MarketsIndia, United States

Frequently Asked Questions

What is Qentelli's tech stack?

Multi-cloud (AWS, Azure, GCP) with Oracle Fusion Cloud specialization. Application layer: Node.js, Express, NestJS, React Native, TypeScript. Data: PostgreSQL, MySQL, MongoDB. Testing/automation: Selenium, Appium, Jenkins, Cucumber, TestNG.

Is Qentelli hiring engineers?

Yes. 8 of 11 active roles are engineering positions, skewed toward senior (6) and lead (2) levels. Recent hiring focus in India and United States.

What is Qentelli working on?

Oracle Fusion Cloud supply-chain implementations, legacy system modernization roadmaps, low-code automation platform integration, data migration and master data setup, and delivery governance model development.

How this profile is built

Qentelli's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.