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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 listedRemote

About the Job

Requirements

  • Typically have 8 or more years of professional experience.
  • Have a strong command of production programming languages, containerized cloud infrastructure on AWS, and event-driven architecture.
  • Use AI tools such as Claude Code to design, build, review, and ship; direct agents and verify their output; and understand where agentic tools are useful.
  • Have hands-on experience with authentication and authorization, including OAuth2/OIDC, token-based authentication, or fine-grained permissions, or experience building third-party integrations at scale.
  • Design for data privacy.

Responsibilities

  • Lead complex and ambiguous projects in identity and access, connectors and tools, and customer data foundation, shaping the problem with product, designing the architecture, and taking the work to production.
  • Architect distributed, multi-tenant systems; navigate complex tradeoffs; focus on high-level system design; and create foundational patterns adopted by other teams.
  • Plan complex projects, define scope, align stakeholders, and remain accountable for delivered outcomes.
  • Mentor several engineers, take part in hiring, help shape the team’s technical direction, and raise the technical bar.

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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