Full-stack consultancy and product studio serving fintech, enterprise, and digital transformation
Tekton Labs is a 51–200-person software consultancy and product studio founded in 2008, headquartered in Mountain View. The stack—Node.js, NestJS, React, React Native, Spring Boot, AWS, Kubernetes, Kafka—reflects a polyglot, cloud-native engineering culture built for scale. Current hiring is heavily weighted toward senior and mid-level engineers (34 of 44 open roles), with notable velocity in Colombia, Peru, and the US, signaling expansion into Latin American talent markets while tackling fintech-specific challenges: merchant compliance, fraud monitoring, payment network expansion, and high-scale backend optimization.
Notable leadership hires: Tech Lead, Technical Lead
Tekton Labs builds software products and provides technology consulting to mid-market and enterprise clients across fintech, corporate expense management, and digital transformation. The company has shipped products for 200+ clients across 15+ industries since 2008. Current project pipeline includes microservices architecture for fintech, payment card acceptance network expansion, merchant onboarding workflows, and compliance/fraud monitoring systems. The organization operates as a partnership with engineering at its core, supported by small sales, product, design, and data functions.
Tekton's primary stack includes Node.js, NestJS, React, React Native, Java (Spring Boot ecosystem), AWS, Kubernetes, Docker, GitLab CI/CD, and Apache Kafka. They are adopting RabbitMQ, Kotlin Multiplatform, and Gemini; no major stack replacements are underway.
Current projects span merchant compliance and fraud monitoring, microservices architecture for fintech clients, payment card acceptance network expansion, corporate expense management, and customer onboarding workflows. Internal challenges include scaling backends for millions of users and reducing technical debt.
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.