Global tech talent marketplace building AI into its talent cloud
Andela runs a global marketplace matching engineering talent with client teams, built on Ruby on Rails and React atop AWS, with Python, Java and GCP in the mix. Adoption of Terraform, Azure, Cursor and RAG, plus job-post pain points around AI reliability and automated assessments, signals a push to embed generative AI into talent vetting. Hiring is accelerating and skews senior and engineering-heavy, with data roles close behind.
Andela, founded in 2014 and headquartered in New York, operates a platform that connects technology talent in emerging markets with companies looking to build and scale engineering teams. It is a privately held company with 201–500 employees. Its talent network is distributed globally, and current hiring spans the United States, Kenya, India, Indonesia, South Africa and Bulgaria. Beyond talent matching, the business handles cross-border payments and client relationship programs.
Andela's stack includes Ruby on Rails, React, Next.js, TypeScript, Python, Java with Spring Boot, GraphQL, Docker and Kubernetes on AWS and GCP, and it is adopting Terraform, Azure, Cursor and RAG.
Andela is hiring in the United States, Kenya, India, Indonesia, South Africa and Bulgaria, with recent openings focused on senior engineering and data roles.
Andela is building out its global remote talent engine, implementing infrastructure as code with Terraform, improving CI/CD pipelines, generating AI scouting reports and evolving its Ruby on Rails ecosystem.
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Andela'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.