Nearshore software consultancy building web, mobile, cloud and AI products
Tekton Labs is a Mountain View-based software consultancy delivering Java/Spring Boot backends, React/Next.js frontends and native Kotlin Android apps across AWS, Azure and GCP. Hiring is accelerating and overwhelmingly senior engineering, concentrated in Latin America, while adoption of RAG, serverless functions and PostgreSQL alongside a move off SQL Server points to client work shifting toward AI pipelines and legacy modernization.
Notable leadership hires: Technical Delivery Lead
Tekton Labs is a technology consultancy and software development firm founded in 2008 and headquartered in Mountain View, California. It builds custom products for clients across many industries, spanning web systems, mobile apps, cloud development, experience design and enterprise consulting. The company employs 51–200 people and operates as a partnership. Its delivery teams are distributed across the United States, Peru, Argentina, Colombia, Ecuador and South Africa, and it pursues enterprise deals through RFP responses and cloud partner channels in North America.
Tekton Labs works with Java and Spring Boot, Kafka, React, Next.js, Kotlin for Android, Docker, Kubernetes, GitLab CI/CD and Azure DevOps, deploying across AWS, Azure and GCP, with Jira, Confluence and Figma for delivery.
Tekton Labs hires in the United States, Peru, Argentina, Colombia, Ecuador and South Africa, with a strong focus on senior engineering and data talent.
Current work includes platform modernization, production RAG pipelines, automated ETL/ELT pipelines, CI/CD automation, AI agents for a recruitment platform and expanding go-to-market efforts in North America.
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Tekton Labs'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.