Custom software and product development for financial and industrial sectors
Tekton Labs is a 51–200 person software consultancy building products across banking, financial services, and industrial IoT. The tech stack (Node.js, NestJS, React, Spring Boot, Kubernetes, AWS/Azure/GCP) reflects a polyglot, cloud-first engineering culture; active adoption of AWS Lambda, API Gateway, OAuth 2.0, and GitHub Advanced Security signals movement toward serverless and zero-trust patterns. The hiring mix is heavily engineering-skewed (29 of 50 open roles) with senior and mid-level emphasis, and geographic expansion across Latin America suggests scaling delivery capacity across distributed teams.
Notable leadership hires: PMO Project Lead, Project Lead
Tekton Labs operates as a software development and technology consultancy, working on product development, custom engineering, and strategic advisory across 15+ industries since 2008. The company has delivered work for 200+ clients across more than 360 projects. Current focus spans three domains: financial and banking sector modernization (international and global financial services projects), industrial IoT (sensor data integration and insights platforms), and internal platform engineering (DevOps tooling ecosystem and automation standardization). The company is headquartered in Mountain View, California, with active hiring and delivery in the United States, Peru, Argentina, Colombia, Brazil, and Ecuador.
Primary: Node.js, NestJS, React, React Native, Java, Spring Boot. Infrastructure: AWS, Azure, GCP, Kubernetes, Docker. CI/CD: GitLab CI/CD, Azure DevOps, Jenkins. Data: Apache Kafka, Databricks, Power BI. Actively adopting AWS Lambda, API Gateway, and GitHub Advanced Security.
Yes. Engineering roles comprise 29 of 50 current openings, with emphasis on senior (28 total open roles across all departments) and mid-level positions. The company is actively hiring across the United States, Peru, Argentina, Colombia, Brazil, and Ecuador.
Current projects include international banking client work, global financial sector modernization, sensor data integration for industrial IoT, internal DevOps tooling evolution, automation standardization, and a new product launch. Active challenges include architecture migration, sales data management, and technical debt reduction.
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