Developer skills assessment and technical hiring platform
HackerRank sells a technical hiring platform built on Ruby, Python, Go and Java over PostgreSQL, MySQL, Kafka and Kubernetes across both AWS and GCP. Its analytics layer is moving off Redshift to StarRocks, feeding an AI-native data layer for natural-language querying. Job posts also point to Chakra, an autonomous AI interviewer, and integrity fraud detection, a push toward AI-run assessment. Hiring is senior-weighted and engineering-led but decelerating.
HackerRank provides software that helps companies assess and hire developers, giving recruiters and hiring managers objective skill evaluation through coding tests and technical challenges. Founded in 2012 and privately held, it is headquartered in Santa Clara, California, and employs 201–500 people. The company hires in the United States, India and Peru. Its go-to-market runs through a sales team equipped with Salesforce, Outreach, ZoomInfo and LinkedIn Sales Navigator, and enterprise identity integration is supported via Okta, OIDC and SCIM.
HackerRank uses Ruby, Python, Go, Java and Node.js with PostgreSQL, MySQL, Redis, Kafka and RabbitMQ, running on AWS and GCP with Kubernetes, Docker and New Relic.
Yes. Job posts reference a migration from Redshift to StarRocks, alongside building an AI-native data layer that supports natural-language querying.
HackerRank hires in the United States, India and Peru, with engineering the most active department, followed by sales and data.
Other companies in the same industry, closest in size
HackerRank'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.