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2 дня назад

Senior QA Engineer (Python)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Netherlands
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior QA Engineer (Python/SDET): Designing and implementing quality strategies for a complex pricing platform with an accent on backend services, APIs, and ML-driven estimates. Focus on building automated test suites in CI/CD pipelines and ensuring the correctness of revenue-critical flows.

Location: Hybrid (Amsterdam). Must be based in the Netherlands

Company

hirify.global is a digital manufacturing company providing instant quoting and production of custom-manufactured parts.

What you will do

  • Evolve the test strategy for the Pricing domain, covering functional, integration, contract, and non-functional testing (performance, reliability).
  • Design and maintain automated test suites for APIs, events, and end-to-end scenarios aligned with cloud deployments.
  • Own and extend continuous testing within GitHub Actions or Azure DevOps CI/CD pipelines to enforce quality gates.
  • Validate pricing and ML outputs for correctness, edge cases, and probabilistic forecasts.
  • Partner with engineers to implement shift-left practices and perform root cause analysis for production defects.
  • Mentor QA engineers and SDETs to establish coding conventions and shared ownership of quality frameworks.

Requirements

  • 7+ years of experience in software quality assurance, test automation, or SDET roles in a SaaS environment.
  • Strong programming skills in Python (C# is a plus) for test automation and engineering codebase contributions.
  • Experience owning test automation and CI integration for backend or platform teams.
  • Proficiency in API and UI testing, as well as database management using PostgreSQL or MySQL.
  • Hands-on experience with GitHub Actions and containerized workloads using Docker and Kubernetes.
  • Candidates must be based in the Netherlands.

Nice to have

  • Exposure to ML and MLOps testing, including model validation and inference pipeline monitoring.
  • Experience with pytest, Playwright, Postman, Newman, or Locust.
  • Familiarity with observability practices (logs, metrics, traces) for failure diagnosis.
  • Experience with DBT or data testing frameworks.

Culture & Benefits

  • Annual company bonus based on overall business success.
  • Mental health and wellness support via OpenUp and Headspace.
  • Dog-friendly office environment.
  • Daily lunch and snacks provided in the office.
  • Learning and development budget, dedicated L&D days, and access to an in-house LEARN platform.

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