AI-Powered Support Engineer — Remote (US East)

Checkly

Raleigh (NC)

Remote

USD 43,000 - 87,000

Full time

6 days ago
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Benefits offered by this job

Stock options
Flexible paid vacation
Paid sick leave
Paid parental leave (up to 14 weeks)
US medical, dental, vision insurance (
401(k) and more

Job summary

Checkly is seeking a Support Engineer to champion customer success in a remote-first role. You will diagnose issues, debug flaky tests, and analyze API check failures, collaborating with engineering to reproduce and fix problems.

You will shape AI-enabled support processes, improve agent handoffs, and contribute to product improvements by turning tickets into bug fixes and features, while keeping documentation aligned with customer needs.

Qualifications

  • Empathy for customer needs and clear communication.
  • Experience in a technical role such as developer or technical support.
  • Ability to read and debug JavaScript, TypeScript, and Node.js code.
  • Comfort with HTTP, REST APIs, browser dev tools, git and CI/CD.
  • Familiarity with AI tooling (Claude Code, Codex, Cursor) and building workflows.
  • Clear, friendly English communication.
  • Ability to work remotely and asynchronously in a US East Coast timezone.

Responsibilities

  • Resolve customer issues and debug tests, investigate API check failures with PCAPs and traces.
  • Build an outstanding AI support process and improve agent handoffs and response quality.
  • Turn tickets into product by reproducing bugs and proposing fixes.
  • Own the docs to ensure accurate, up-to-date information for customers and agents.
  • Work with modern tooling on the support platform (Plain, Linear, Mintlify).

Skills

Empathy
Technical experience
Read/Debug JavaScript
Read/Debug TypeScript
Read/Debug Node.js
HTTP/REST APIs
Git & CI/CD
AI tooling experience
Remote work / async
US East Coast timezone

Tools

Plain
Linear
Mintlify

Job description

Checkly is seeking a Support Engineer to champion customer success in a remote-first role. You will diagnose issues, debug flaky tests, and analyze API check failures, collaborating with engineering to reproduce and fix problems.

You will shape AI-enabled support processes, improve agent handoffs, and contribute to product improvements by turning tickets into bug fixes and features, while keeping documentation aligned with customer needs.

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