Engineering consulting and nearshore staffing for software delivery modernization
Perform pairs nearshore staff augmentation with modernization consulting, targeting mid-market enterprises shipping complex products. The hiring velocity is accelerating across 80+ engineering roles, heavily weighted toward senior talent, and concentrated in Latin America and the Philippines—a geographic footprint aligned with the nearshore staffing business model. Active projects center on .NET-to-Python migration, cloud infrastructure, and test automation, while the tech stack (Python, Node.js, Playwright, Selenium, dbt, Snowflake, AWS) reflects the types of systems Perform's consultants are helping clients rebuild.
Perform was founded in 2005 to help large enterprises solve delivery bottlenecks through two service lines: staff augmentation (hiring nearshore engineers, QA, and DevOps talent to fill gaps) and consulting (modernizing development, quality, and deployment practices). The company operates across 17 countries, with headquarters in Atlanta. Clients span sectors including financial services, media, retail, and gaming. The current project portfolio reveals a shift toward cloud-native architectures, legacy system migrations, and data pipeline work, with particular emphasis on increasing test coverage and reducing test execution costs for high-traffic applications.
Perform uses Python, Node.js, React, Angular, MongoDB, PostgreSQL, Snowflake, dbt, Looker, AWS, GCP, Terraform, and testing frameworks including Playwright, Selenium, and Cypress. The company is phasing out .NET in favor of Python.
Active projects include migrating legacy .NET systems to Python, building cloud solutions on AWS and Azure, designing automated test frameworks, setting up production data pipelines, and improving test coverage and execution efficiency for high-traffic applications.
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Perform'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.