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Glia is the #1 Banking AI platform serving 700+ banks and credit unions. The company provides a Banking AI Operating System that layers specialized AI agents on top of existing tech stacks to automate workflows across voice and digital channels, from front office to back office operations.
You will join the Quantum team, responsible for designing and scaling core intelligence services that power real-time customer interactions and operational foresight. The team's mission is bringing frontier AI capabilities to customers—including connecting knowledge bases to AI chat interfaces and enabling customers to build banking automations with AI. Your work will bridge advanced intelligence with human strategy, empowering agents to leverage AI and work smarter.
Working in self-reliant product teams, you'll contribute across the entire development lifecycle, from back-end and front-end to infrastructure. This role is ideal for engineers who want to own complete solutions and work across diverse technical domains. You'll shift from executing basic tasks to owning features end-to-end, participating in technical discussions, and maintaining high code quality.
The team is Estonia-based, working across the EET timezone with offices in Tallinn and Tartu. While remote collaboration is embraced, the company operates on a hybrid model and gathers the full team in Estonia twice yearly for innovation and connection.
Tech stack includes Elixir, Ruby, and JavaScript (React); DynamoDB and AWS RDS PostgreSQL; AWS infrastructure with Terraform; DataDog monitoring; Jenkins CI/CD; Claude Code and Gemini for AI; and Kafka for event streaming.
QUALIFICATIONS:
- 2–3 years of professional software development experience with a track record of shipping production-grade code (or exceptional independent product-building experience)
- Ability to take features from start to finish; design, build, and maintain reliable, highly available systems
- Strong mastery of strictly-typed/compiled languages, design patterns, and containerized cloud infrastructure (AWS); familiarity with event-driven architecture
- Clean, test-driven code practices (TDD, CI/CD); proactive identification of improvements; effective use of AI tools (e.g., Claude Code) while maintaining accountability for correctness
- Self-starter who independently identifies improvement areas, seeks feedback, and continuously learns
- High autonomy and comfort with technical complexity and system-wide variety
Note: The posting explicitly states "No problem if you miss a few of these qualifications! If you find it interesting to learn them, do still apply."
