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Tekton Labs Tech Stack

Full-stack consultancy and product studio serving fintech, enterprise, and digital transformation

Software Development Mountain View, California 51–200 employees Founded 2008 Partnership

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.

Tech Stack 200 technologies

Core StackNode.js NestJS AWS Java React React Native Docker Kubernetes GitLab CI/CD Azure DevOps Apache Kafka Jira Confluence Trello Databricks Power BI Jenkins GitLab Bitbucket SonarQube Terraform Ansible Spring Boot Spring Data Spring Security Spring Cloud Azure GCP Notion Artifactory+168 more
AdoptingRabbitMQ Apache Kafka Kotlin Multiplatform Gemini Module Federation Midjourney

What Tekton Labs Is Building

Challenges

  • Reducing technical debt
  • Scaling backend for millions of users
  • Launching new product
  • Optimizing ci/cd pipelines
  • Improving card authorization configuration
  • Compliance monitoring for high-risk merchants
  • Fraud monitoring
  • Expanding acceptance network
  • Merchant acceptance negotiation
  • Control de gastos corporativos

Active Projects

  • High-risk merchant vertical deployment
  • Advanced re-ranking logic for llms
  • Expanding p-card acceptance network
  • Colocación de solución p-card corporativa
  • Onboarding y activación inicial de clientes corporativos
  • Rfp response process
  • Joint sales plans
  • Channel sales strategy
  • Microservices architecture for fintech client
  • Digital transformation and data governance at scale

Hiring Activity

Accelerating45 roles · 35 in 30d

Department

Engineering
34
Sales
4
Product
3
Data
2
Design
1

Seniority

Senior
31
Mid
13

Notable leadership hires: Tech Lead, Technical Lead

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About Tekton Labs

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.

HeadquartersMountain View, California
Company Size51–200 employees
Founded2008
Hiring MarketsColombia, United States, Peru, Costa Rica, Argentina

Frequently Asked Questions

What tech stack does Tekton Labs use?

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.

What is Tekton Labs working on?

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.

How this profile is built

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.