Enterprise IT services and cloud migration specialist
JPS Tech Solutions operates a Java-heavy enterprise integration stack (Spring, Oracle, WebSphere, JMS) while actively adopting modern frontend frameworks (Angular, React, Vue) and Salesforce with AI capabilities—a pattern that suggests migration from traditional monoliths toward cloud-native and CRM-driven architectures. Their hiring is heavily skewed toward senior engineering roles (36 of 51 filled positions), and active projects span legacy decommissioning, cloud migrations, and compliance work, indicating they're managing the technical debt of large enterprises while building next-generation capabilities.
JPS Tech Solutions delivers IT services and custom software development to mid-market and enterprise clients, with particular depth in cloud platforms (AWS, GCP, Azure), Salesforce implementations, and site reliability engineering. The company employs 201–500 people across the United States, headquartered in Cary, North Carolina. Their project mix—Java cloud-native builds, ETL pipelines, large-scale implementation programs, and hybrid cloud infrastructure modernization—reflects a client base managing complex legacy systems alongside digital transformation. Current hiring velocity is accelerating, focused on senior and mid-level engineers to staff ongoing client work.
Core: Java, Spring (MVC, Boot, Framework, Data), Oracle, WebSphere, JBoss, JSP, Servlets, JMS. Frontend: Angular, JavaScript; also adopting React and Vue. Integrations: Mule, SOAP, JAX-WS. Testing: Jest, Mocha, Enzyme.
Yes. Salesforce is listed as a core competency, and the company is actively adopting Salesforce Einstein AI and Agentforce to expand CRM capabilities for clients.
JPS Tech Solutions'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.