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Saransh Inc Tech Stack

IT services and staffing for enterprise data, cloud, and banking modernization

IT Services and IT Consulting Princeton, New Jersey 51–200 employees Founded 2004 Privately Held

Saransh is a services and staffing firm built around cloud infrastructure and data modernization, with an engineering-heavy org (94 engineers across 140 active roles) skewed toward senior and lead-level hires. Their tech stack—Azure, Python, Databricks, Snowflake, Kubernetes, Camunda, React, plus emerging adoption of Azure AI and OpenAI—maps directly to their active project portfolio: database migrations, D365 implementations, real-time data pipelines, and gen-AI test automation. The concentration of pain points around financial reporting, cloud cost governance, and batch-scheduling availability suggests they're staffing and consulting into heavily regulated, data-intensive modernization efforts.

Tech Stack 200 technologies

Core Stack.NET C# Azure Functions Azure DevOps Python Node.js Java Terraform RAG Siemens Databricks Snowflake Redshift Apache Spark React Docker Kubernetes Microsoft Project Visio ASP.NET Core Azure Kubernetes Service Google Cloud Contact Center AI GCP Azure AI DeltaV Cadence Azure Spring Boot Spring Cloud Camunda+170 more
AdoptingOpenAI Terraform Azure AI

What Saransh Inc Is Building

Challenges

  • Financial reporting processes
  • Credit card issuer process automation
  • Query performance issues
  • Real-time integration performance
  • Cloud cost governance
  • Scaling ai applications
  • Implementing new accounting systems
  • Maintaining high availability of batch scheduling
  • Reducing technical debt
  • Automating governance tasks

Active Projects

  • Database transformation and modernization initiatives
  • Digital banking platform launch
  • Micro-frontends and module federation
  • Finance and accounting data domain governance
  • Metadata and lineage management
  • Gen ai test automation integration
  • Large d365 f&o programs
  • Financial data governance initiatives
  • Investment data integration platform
  • Rxclaim development

Hiring Activity

Accelerating140 roles · 70 in 30d

Department

Engineering
94
Data
12
Ops
9
Product
8
Finance
7
Support
2
Healthcare
1
Manufacturing
1

Seniority

Senior
93
Mid
22
Lead
17
Manager
2
Junior
1
VP
1

Notable leadership hires: Data Domain Lead, Delivery Lead, Technical Lead, Tech Lead

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About Saransh Inc

Founded in 2004 and headquartered in Princeton, New Jersey, Saransh provides recruitment, consulting, and IT services to mid-market and enterprise clients. The firm operates across 140 active job openings (68 posted in the last 30 days) concentrated in engineering, data, and operations roles, with hiring active in the United States and Canada. Their project mix—digital banking platform launches, finance and accounting data governance, D365 F&O programs, and investment data integration—reflects a services model targeting financial services and regulated industries undergoing cloud and data stack transformation.

HeadquartersPrinceton, New Jersey
Company Size51–200 employees
Founded2004
Hiring MarketsUnited States, Canada

Frequently Asked Questions

What tech stack does Saransh use?

Core: Azure, Python, Node.js, Java, .NET/C#. Data: Databricks, Snowflake, Redshift, Apache Spark. Orchestration: Kubernetes, Docker, Camunda, Terraform. Emerging: Azure AI, OpenAI, Google Cloud Contact Center AI, RAG.

What is Saransh working on?

Database modernization, digital banking platforms, D365 F&O implementations, financial data governance, real-time data pipelines, gen-AI test automation, and metadata lineage management.

How this profile is built

Saransh Inc'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.