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VAYUZ Technologies Tech Stack

AI-first digital engineering for legacy modernization and GenAI integration

IT Services and IT Consulting Noida, Uttar Pradesh 201–500 employees Founded 2015 Privately Held
vayuz.com LinkedIn

VAYUZ is a 200+ person engineering org in India focused on embedding AI into enterprise transformation work—not automating existing processes, but redesigning them from scratch. The hiring mix is heavily weighted toward senior engineers and data specialists (26 senior + 5 data roles), paired with infrastructure-as-code adoption (Terraform, Helm) and active MLOps framework development, suggesting they're scaling from services delivery into productized AI capabilities. Pain-point concentration around SAP migration governance, real-time data ingestion, and maintaining 24/7 uptime signals deep enterprise client dependencies.

Tech Stack 200 technologies

Core StackFlutter React Next.js Angular Oracle Database PL/SQL ServiceNow JavaScript Kubernetes Terraform Helm AWS Prometheus Grafana OpenTelemetry Python SQL Server SOAP AWS EKS Azure Kubernetes Service Azure Aurora ElastiCache AWS MSK IAM Bash VMware ESXi Nutanix AOS Nutanix AHV Citrix+170 more
AdoptingTerraform Helm

What VAYUZ Technologies Is Building

◆Challenges

  • Modernizing legacy systems
  • Integration complexity
  • Maintaining 100% uptime
  • Real-time data ingestion
  • Managing sap rise migration governance
  • Ensuring stakeholder alignment
  • Risk management during migration
  • Optimizing relational databases
  • Supporting 24x7 trading processes
  • Compliance and audit requirements

▲Active Projects

  • Mlops framework development
  • Elt process implementation
  • New technology evaluation and prototyping
  • Servicenow integration with external systems
  • Resiliency and disaster recovery
  • Real-time inference systems
  • Data engineering pipelines
  • End-to-end ml pipelines
  • Mlops frameworks
  • Proof-of-concept engagements

Hiring Activity

Accelerating60 roles · 40 in 30d

Department

Engineering
35
Security
7
Data
5
HR
5
Marketing
3
Support
2
Ops
1
Sales
1

Seniority

Senior
26
Mid
23
Intern
5
Junior
2
Lead
2
Manager
1
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About VAYUZ Technologies

VAYUZ Technologies, founded in 2015 and based in Noida, India, provides digital engineering and AI integration services to NSE-listed enterprises and growth-stage companies. The company's core service areas span cloud migration (AWS, Azure, Kubernetes), legacy system modernization, and generative AI deployment—moving clients from point-solution AI use cases toward AI-first architectures. They serve clients with stringent uptime and compliance requirements (trading platforms, mission-critical infrastructure). The tech stack reflects this: Oracle, SQL Server, ServiceNow integrations on the enterprise side; React, Flutter, Next.js for customer-facing surfaces; and Kubernetes-native orchestration (EKS, AKS) for scalable deployments. Currently actively hiring across engineering, security, and data roles with accelerating velocity.

HeadquartersNoida, Uttar Pradesh
Company Size201–500 employees
Founded2015
Hiring MarketsIndia

Frequently Asked Questions

What tech stack does VAYUZ Technologies use?

Frontend: React, Next.js, Angular, Flutter. Backend: Python, PL/SQL, JavaScript. Data: Oracle Database, SQL Server, Aurora, AWS MSK. Infrastructure: AWS EKS, Azure AKS, Kubernetes, Terraform, Helm, Prometheus, Grafana. Enterprise: ServiceNow, SOAP APIs.

What is VAYUZ Technologies working on?

MLOps framework development, ELT pipeline implementation, real-time inference systems, end-to-end ML pipelines, ServiceNow integrations, and proof-of-concept work around new AI/GenAI technologies. Active focus on resiliency, disaster recovery, and data engineering infrastructure.

How this profile is built

VAYUZ Technologies'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.