Glia operates a customer interaction platform built on Go, Elixir, and React with heavy infrastructure investment (Kubernetes, Terraform, Kafka, Datadog). The tech mix—combining telecom primitives (Kamailio, FreeSwitch) with modern cloud architecture and LLM integrations (Amazon Bedrock, Claude, Google Gemini)—reflects a company scaling both AI-driven automation and complex regional deployments. Active projects show engineering depth: monolith decomposition, CI/CD migration, and design-system work alongside voice+AI roadmap and telemetry—typical of a scaling platform managing rapid customer growth and compliance complexity.
Notable leadership hires: Head of AI
Glia is a SaaS platform serving more than 700 banks and credit unions across all 50 U.S. states, founded in 2012 and based in New York. The product combines voice, AI, and digital channels to help financial institutions handle customer interactions while improving team efficiency and member experience. Clients use the platform to reduce call-center overflow, retrain support staff into sales roles, and expand outreach without adding headcount. The company operates across six countries (United States, Estonia, Mexico, Canada, Poland, Portugal) with a sales-led go-to-market and a technical organization managing infrastructure scale, security, and regional availability.
Go, Elixir, and Ruby for backends; React, JavaScript, TypeScript for frontend; AWS, Kubernetes, Docker, Terraform for infrastructure; PostgreSQL, DynamoDB, Redis, Kafka for data; Amazon Bedrock, Claude, Gemini for AI; Datadog, Sentry for observability.
Active projects include rich-media voice+AI solutions, monolith decomposition, CI/CD platform migration, public API design, a design system (Prism), DevOps adoption, and regional availability and recoverability improvements.
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