Technical Support Engineer

Glide

7d•$120,000 - $140,000•Hybrid

About The Position

Glide is seeking two Technical Support Engineers to join their small team responsible for the production quality of their entire platform. This role is not about routing tickets; instead, support engineers will own bugs from end-to-end, from ambiguous reports to root cause analysis across frontend, backend, and banking integrations, shipping their own fixes, and verifying their effectiveness. The team utilizes AI coding agents as a production system, with engineers guiding and reviewing the AI's proposed solutions. This unique approach allows a small team to maintain quality for a platform serving numerous institutions. The ideal candidate possesses strong judgment, the ability to identify when an AI's plausible answer is incorrect, and a bias towards proving fixes rather than asserting them.

Requirements

2 to 6 years writing production software, ideally somewhere you were close to real customers and real incidents
Strong TypeScript. Comfortable moving between a React frontend, a Node backend, SQL, and a third-party API in the same afternoon
You debug by narrowing, not guessing. You can read logs, traces, and a database and form a hypothesis you then try to disprove
You already work with AI coding agents daily, and you have opinions about where they fail. You can tell when an agent is confidently wrong, and you know what you would never hand one
You have a bias toward proving things. You do not say a fix works, you show it
You can explain a technical failure to someone who has never seen the code, without condescension
You manage yourself. Nobody will assign you work hour to hour, and you will flag a slip before the deadline rather than after
You are comfortable when the process is still being written, because you will be the one writing parts of it

Nice To Haves

Experience at a fintech, or anywhere regulated, where a bug has consequences beyond a bad user experience
Familiarity with Next.js, tRPC, AWS, Sentry, or a structured logging platform like Axiom or Datadog
Experience with multi-tenant systems where behavior is driven by per-customer configuration
You have built internal tooling, MCP servers, or agent workflows that made other engineers faster

Responsibilities

Own bugs and production issues end to end: reproduce, diagnose, fix, verify, and confirm the fix held
Drive ambiguous reports to a true root cause across our web apps, APIs, and banking integrations
Orchestrate AI agents through the full diagnostic and repair loop, and catch them when they are wrong
Ship your own fixes as reviewed pull requests, with evidence attached to every ticket
Extend the agent tooling itself. The workflows, MCP servers, and triage agents this team runs were all built in-house, and you will build the next ones
Write the plain-language root cause explanation that goes back to the customer
Find and fix classes of bugs, not just instances. Strengthen alerts, runbooks, and guardrails so the same issue does not come back
Help decide how this function scales as the team grows