Techbar is an engineering partner that helps startups and enterprise businesses build and scale their technical teams. We work across architecture, data, and product development, focusing on the parts that actually shape a product’s future. We believe good engineering is built by people, for people.
3 серпня 2026

Senior QA Automation Engineer (AI-Native Testing) — EU ONLY (вакансія неактивна)

за кордоном, віддалено $4500–5500

Senior QA Automation Engineer (AI-Native Testing)
Team: Quality Engineering
Level: Senior

About the Client
We’re a Spec-Driven Development platform that turns specifications into working software with AI at the core. We’re building the tooling and workflows that let teams ship faster without sacrificing quality — and we hold ourselves to that same bar. Our QA function isn’t an afterthought; it’s an AI-native discipline where engineers use LLMs and agents as first-class tools to design, generate, and evaluate tests.

The Role
We’re looking for a Senior QA Automation Engineer to own quality across the platform and set the standard for how AI-native testing is done here. You’ll write robust Playwright suites in TypeScript, orchestrate AI agents to produce test artifacts at scale, and define the evaluation strategy for our LLM-driven features. Beyond testing the platform itself, you’ll use it to validate third-party applications — giving you a rare dual vantage point as both builder and power user.
As a senior member of the team, you’ll do more than execute: you’ll shape test strategy, raise the quality bar, mentor others, and influence how quality is engineered across the product. You should be able to operate with a high degree of autonomy and turn ambiguous quality problems into clear, durable systems.

What You’ll Do

  • Own quality for the platform — define and drive the test strategy for the Spec-Driven Development experience, end to end, from spec ingestion through generated output.
  • Scale test creation with AI agents — build repeatable workflows using Claude Code, Skills, Agents, and Prompts to author, scaffold, and maintain test artifacts; establish patterns the rest of the team adopts.
  • Architect API test suites — design reliable, well-structured, maintainable API automation.
  • Architect UI automation — lead Playwright (TypeScript) end-to-end and component testing, including framework design and best practices.
  • Direct exploratory and manual testing — cover what automation can’t, and convert findings into durable automated coverage.
  • Own pipelines and reporting — keep test pipelines fast, green, and trustworthy; define coverage strategy and produce reporting that leadership can act on.
  • Define LLM evaluation — design and own evaluations of AI-generated output using structured evaluation frameworks, establishing what “correct” means for non-deterministic systems.
  • Validate third-party apps with the platform — dogfood it against real external applications and feed insight back to the product team.
  • Mentor and raise the bar — set standards, review others’ test work, and grow the team’s AI-native testing capability.

What We’re Looking For

  • 5+ years in QA automation/test engineering, with a track record of owning quality for complex products.
  • Deep TypeScript and Playwright expertise (UI and API), including framework and architecture decisions.
  • Strong test design fundamentals — clear cases, meaningful assertions, zero tolerance for flakiness, honest reporting.
  • Proven experience designing and maintaining CI test pipelines, coverage strategy, and reporting.
  • Hands-on experience using LLMs and AI agents in real workflows — and the judgment to know where they help and where they don’t.
  • Experience with LLM response evaluation and evaluation frameworks for non-deterministic outputs.
  • Demonstrated autonomy, ownership, and the ability to mentor and influence beyond your own work.

Nice to Have

  • Hands-on Claude Code and agent-based tooling experience (Skills / Agents / Prompts).
  • Experience testing AI-powered or spec-driven products.
  • Track record of standing up a quality function or strategy from scratch.

Why Join

Work at the frontier of AI-native quality engineering — redefining testing workflows, not bolting AI onto old ones.

  • Real ownership and influence over how quality is engineered on a platform that changes how software is built.
  • Direct impact on a product you’ll use every day.