VAYUZ Technologies is a Noida-based digital engineering services firm whose job posts read like a multi-client delivery bench: SAP/ABAP finance automation, Dynamics NAV to Business Central migrations, AWS EKS and Kubernetes ops, and ServiceNow/BMC Helix ITSM. The adopting list (OpenAI, Gemini, Llama, Mistral, Pinecone, Weaviate, pgvector) shows a deliberate push into RAG-style GenAI builds, while an intern-heavy, accelerating hiring mix points to scaling delivery capacity.
VAYUZ Technologies is a privately held digital engineering company founded in 2015 and headquartered in Noida, Uttar Pradesh, India. It employs 201–500 people and delivers mobile and web application development, cloud and DevOps work, legacy system modernisation and AI/ML integration for client organizations ranging from listed enterprises to startups. Its delivery footprint covers SAP finance systems, Microsoft Dynamics ERP migrations, IT service management platforms and AWS-based infrastructure. Hiring is concentrated in India and weighted toward engineering, with supporting sales, marketing and HR functions.
VAYUZ works with SAP, ABAP, SAP HANA, AWS (EKS, RDS, EMR), Docker, Kubernetes, Python, Prometheus, Grafana, OpenSearch, ServiceNow, BMC Helix ITSM, Jira and HubSpot, and is adopting OpenAI, Gemini, Llama and vector databases.
Yes. Hiring is accelerating and led by engineering, with additional openings in sales, HR, marketing, data, security and finance, many at intern and mid levels, all based in India.
Current work includes SAP financial process automation, Dynamics NAV to Business Central migrations, web proxy and identity provider integrations, content publishing automation and building verified target-account databases in HubSpot.
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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.