IT staffing and RPO firm with internal data and AI engineering ops
KTek Resourcing operates a staffing and RPO business across North America, South America, Asia, and EMEA, but the tech stack reveals parallel internal engineering capabilities: Databricks, Snowflake, Kafka, and AWS infrastructure alongside SAP EWM and ServiceNow — suggesting they've built proprietary data pipelines and AI features (MCP server development for scoring, PHI guardrails for healthcare). The hiring velocity is accelerating with senior engineering and data roles dominating, and they're actively replacing legacy tools (DataStage), signaling a modernization push in their own talent-operations platform.
Notable leadership hires: Databricks Lead
KTek Resourcing is a global staffing and recruitment firm headquartered in Houston, Texas, with 201–500 employees. The company specializes in IT, engineering, and professional-services hiring, serving startups through Fortune 500 enterprises. They maintain active recruitment pipelines across healthcare, cloud/DevOps, data engineering, AI/ML, and Java full-stack development. Operationally, KTek runs enterprise infrastructure (SAP EWM and S/4HANA for supply-chain and resource management, ServiceNow for ITSM), while building internal data systems for talent matching, candidate scoring, and delivery quality assurance.
KTek uses SAP EWM and S/4HANA for resource planning, ServiceNow for IT service management, Databricks and Snowflake for data pipelines, AWS infrastructure, Salesforce for CRM, Jira and Confluence for internal collaboration, and testing tools including Selenium and UFT.
KTek actively hires in Canada, the United States, and India, with global sourcing across North America, South America, Asia, and EMEA.
KTek Resourcing'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.