Nearshore software development and DevOps services for startups and enterprises
Bluelight is a 200+ person nearshore development shop spanning the US, Canada, and LATAM, with engineering hiring accelerating across 12 countries. The tech stack reveals a polyglot backend (PHP/Laravel, Node.js, Python) paired with React-native frontends and DevOps depth (Kubernetes, Docker, Terraform, AWS), but the active project list signals a strategic pivot: three of their top ten projects center on AI architectures, agentic workflows, and LLM fine-tuning for marketing automation and data enrichment — a sharp departure from traditional custom development.
Bluelight provides custom software development, staff augmentation, and DevOps services to startups, SaaS companies, and enterprises. The firm operates a distributed team of developers across six countries, with engineering footprint in Belize, Costa Rica, Canada, Guatemala, Brazil, Peru, Ecuador, Colombia, Bolivia, Mexico, Uruguay, and Guyana. Core service lines include cloud architecture (AWS, Kubernetes, Terraform), mobile app development (iOS, Android, React Native), QA automation, and emerging AI/ML capabilities (custom LLM solutions, data science). The company was founded in 2019 and is based in Sacramento, California.
Backend: PHP/Laravel, Node.js, Python, Java, .NET, Ruby, Golang. Frontend: React, React Native, Vue, Angular. DevOps/Cloud: AWS, Kubernetes, Docker, Terraform. Data/AI: Temporal, Apache Airflow, Prefect, n8n, Flowise.
Headquartered in Sacramento, California. Development teams span the US, Canada, and LATAM: Belize, Costa Rica, Guatemala, Brazil, Peru, Ecuador, Colombia, Bolivia, Mexico, Uruguay, and Guyana.
Bluelight'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.