Trivelta is a 201–500-person iGaming infrastructure company founded in 2023, running on Python, React Native, and AWS with a modern analytics stack (Redshift, Athena, Looker, Tableau, Power BI). The hiring mix skews engineering-heavy (11 roles) with meaningful finance (8) and marketing (6) presence, reflecting a company scaling operator relationships while tackling compliance, multi-jurisdiction accounting, and fraud-detection data pipelines — the operational backbone of regulated gaming.
Trivelta builds software infrastructure for sportsbook and gaming operators, combining mobile apps (App Store and Google Play), AI-powered player personalization, risk management, and social features. The platform serves operators with millions of users across multiple regulated markets. The company is based in Boston and currently hiring across the United States, Spain, Mexico, India, and Bulgaria. Active projects include ERP implementation, procure-to-pay workflow optimization, CI/CD pipeline development, and fraud-detection data pipelines, alongside near-term focus on compliance automation and scaling accounting and customer service functions.
Python, React Native, TypeScript, Java, and Next.js on the application side; AWS (Redshift, Athena, RDS, Glue), GCP, and Azure for infrastructure; Looker, Tableau, Power BI, and QuickSight for analytics; Terraform for IaC; Playwright, Cypress, and Selenium for testing.
Yes. Engineering has 11 active roles with a mix of senior (majority), mid-level, and junior positions. Trivelta is hiring across the United States, Spain, Mexico, India, and Bulgaria.
Boston, Massachusetts. The company was founded in 2023 and operates as a privately held organization with 201–500 employees.
Trivelta'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.