Remote AI-Driven Developer Productivity Engineer

Tether.io

Dubai

Remote

AED 220.000 - 340.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Tether is seeking a Developer Productivity Engineer to help QVAC application teams develop, review, test, and deliver reliable software with less friction. Your focus will be desktop and mobile apps, their shared runtime, AI harness, and skills packages, plus building and maintaining developer tools and AI agents.

This hands-on role partners with engineers to identify improvements, own them from implementation to adoption, and deliver faster feedback loops, dependable automation, and trusted

Qualifikationen

  • Experience building and maintaining developer tools or engineering automation.
  • Strong JavaScript/TypeScript and Node.js skills.
  • Hands-on experience with AI coding tools or agents.
  • Experience with Git, CI/CD, automated testing, and debugging.
  • Ability to work independently in a remote, distributed team and communicate in English.

Aufgaben

  • Evaluate, integrate, and maintain developer tools and AI agents.
  • Build and operate agents in CI and workflows to investigate failures.
  • Improve automated pull request reviews and reduce noise.
  • Develop code quality scripts and checks for complexity and performance.
  • Improve development environments, testing, and build/release workflows.
  • Prioritize improvements and measure effectiveness and operating costs.
  • Example projects include agents that diagnose failures and flag interface changes.

Kenntnisse

JavaScript
TypeScript
Node.js
AI tooling
CI/CD
Git
Code quality
English communication

Tools

GitHub Actions

Jobbeschreibung

Tether is seeking a Developer Productivity Engineer to help QVAC application teams develop, review, test, and deliver reliable software with less friction. Your focus will be desktop and mobile apps, their shared runtime, AI harness, and skills packages, plus building and maintaining developer tools and AI agents.

This hands-on role partners with engineers to identify improvements, own them from implementation to adoption, and deliver faster feedback loops, dependable automation, and trusted

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