IT services and BPO provider modernizing enterprise platforms on cloud infrastructure
Reveille Technologies is a 20-year-old IT and business process outsourcing firm running on a mature, polyglot stack (ServiceNow, AWS, Azure, GCP, Kafka, Java, .NET) with strong observability tooling (Dynatrace, Splunk). The hiring surge across engineering and product roles, concentrated at senior and mid levels, aligns with their stated focus on modernizing legacy enterprise platforms—a capability-building exercise typical of consulting firms expanding beyond staff-aug into IP-driven offerings.
Reveille Technologies delivers end-to-end IT services and business process outsourcing (BPO) to enterprise clients globally. The company operates a hybrid delivery model combining on-site and remote teams across North America and India, with delivery centers supporting both voice and non-voice customer-care services. Core offerings span IT consulting, platform modernization, process optimization, and recruitment process outsourcing (RPO). Founded in 2004 and headquartered in Charlotte, NC, the firm serves mid-market and enterprise customers seeking cost-efficient, customized solutions for technology transformation and business process re-engineering.
ServiceNow, AWS, Azure, GCP, Dynatrace, Splunk, Java, Spring Boot, .NET, ASP.NET Core, Kafka, React, Angular, JavaScript, SQL Server, Oracle, PostgreSQL, and MySQL. Also uses Jira, Azure DevOps Server, and Bitbucket for development workflows.
Modernizing legacy enterprise platforms. The company is addressing pain points around system reliability, service availability, complex technical issue resolution, and security remediation.
Reveille Technologies,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.