Software development and automation testing services for financial and enterprise systems
NSKH Tech is a 11–50 person service firm in Jaipur building automation testing frameworks and financial system integrations. The stack reveals a heavy QA and DevOps focus—Jenkins, Playwright, testRigor, Appium across CI/CD—paired with banking-domain expertise (ServiceNow, NetSuite, Xero, QuickBooks). Current hiring is senior-weighted (4 of 5 open roles), concentrated in engineering, suggesting scaling of their automation and integration practices rather than growth-stage hiring.
NSKH Tech provides end-to-end software development and testing automation for mid-market and enterprise clients, with particular depth in financial services workflows. The company specializes in banking system integrations, financial service process automation, and building test automation frameworks from the ground up. Their service portfolio spans custom application development (Java, Python, React, .NET), cloud platforms (AWS, Azure), and containerized infrastructure (Docker, Kubernetes). The active project roster shows heavy focus on compliance-heavy domains: FSO implementation, banking system integration, accounting platform management, and ITSM ticket synchronization. NSKH operates as a distributed services and staff augmentation model, hiring primarily in India.
ServiceNow, Jenkins, Python, JavaScript/TypeScript, Playwright, testRigor, Appium for QA; AWS, Azure, Docker, Kubernetes for cloud/containers; Java, React, Angular, .NET for application development; accounting platforms including NetSuite, Xero, QuickBooks Online.
Banking workflow automation (FSO implementation, external system integration), scaling automation testing practices, building CI/CD quality gates, ITSM platform integrations, HPC/container platform development, and proof-of-concept work for financial accounting systems.
NSKH Tech'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.