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Glia

AI-driven multichannel banking customer support platform

Senior Software Engineer - Sudo

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Typically have 8 or more years of professional experience.
  • Have a strong command of production programming languages and be prepared to work across different technology stacks.
  • Have experience with containerized cloud infrastructure, AWS, and event-driven architecture.
  • Use AI coding tools such as Claude Code to design, build, review, and ship; direct agents and verify their output.
  • Have experience architecting distributed, multi-tenant systems and making complex architectural tradeoffs.
  • Have hands-on experience with authentication and authorization, such as OAuth2/OIDC, token-based authentication, or fine-grained permissions, and/or building third-party integrations at scale.
  • Design for data privacy.

Responsibilities

  • Lead complex, ambiguous projects from idea to production, including shaping the problem with product, defining scope, aligning stakeholders, designing architecture, and delivering the work.
  • Develop foundational architectural patterns and technical strategy for systems used across teams.
  • Build and contribute to the platform’s identity and access, connectors and tools, and customer data foundation.
  • Mentor engineers, participate in hiring, help shape the team’s technical direction, and raise engineering standards.

Desired Qualifications

  • Experience building with large language models or agentic systems, including tool calling or MCP.
  • Experience in fintech or another regulated industry.

About the Company

Glia

AI-driven multichannel banking customer support platform

Glia provides an AI-powered customer interaction platform for banks and other regulated financial institutions. It unifies voice and digital channels—including messaging, video, voice, and CoBrowsing—to automate routine service, assist human agents, and preserve conversation context across channels. The Banking AI suite features AI agents for voice and digital interactions, agent copilots, analytics, and a banking-trained knowledge layer, delivered as SaaS. It primarily serves community and regional financial institutions, aiming to improve efficiency, consistency, and compliance in customer service across multi-channel interactions.

Company size
201-500
Company stage
Series D
Total funding
$149.5M
Headquarters
New York City, New York
Founded
2012

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