AI-Driven DevTools Engineer — Remote Productivity

Tether.io; España; Remote; EUR 89,000 - 143,000; Full time

Job summary

Tether is seeking a Developer Productivity Engineer to help QVAC application teams develop, review, test, and deliver reliable software with less friction. You will focus on desktop and mobile apps and their shared runtime, AI harness, and skills packages.

You will build and maintain developer tools, integrate AI agents into engineering workflows, and improve code quality and delivery automation. This is a hands-on engineering role with room to shape the tooling roadmap.

Qualifications

• Experience building and maintaining developer tools or engineering automation used by others, with strong JavaScript/TypeScript and Node.js skills.
• Hands-on experience using AI coding tools or agents, with judgment about limitations and human review.
• Experience with Git, CI/CD, automated testing, and debugging of build/test failures.
• Commitment to maintainable code and proactive quality checks.

Responsibilities

• Evaluate, integrate, and maintain developer tools and AI agents to empower engineers.
• Build and operate agents in CI and scheduled workflows to investigate failures and propose fixes.
• Improve automated PR reviews, reduce noise, and enhance reviewer efficiency.
• Develop code quality scripts for complexity, size, dependencies, and performance.
• Improve development environments, testing, and release workflows for reliability.
• Prioritize improvements, document adoption, and measure impact and costs.

Skills

JavaScript/TypeScript

Node.js

Developer tools

AI agents integration

Git

CI/CD

Automated testing

Debugging

English communication

Tools

CI/CD tools

Job description

Tether is seeking a Developer Productivity Engineer to help QVAC application teams develop, review, test, and deliver reliable software with less friction. You will focus on desktop and mobile apps and their shared runtime, AI harness, and skills packages.

You will build and maintain developer tools, integrate AI agents into engineering workflows, and improve code quality and delivery automation. This is a hands-on engineering role with room to shape the tooling roadmap.