AI-first QA Engineer

United States Digital Space LLC

Germany (OH)

On-site

USD 69,069 - 103,603

Full time

14 days+

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Benefits offered by this job

Remote-friendly
Global team
AI-focused workplace
Ownership over QA strategy
Career growth
Diverse cultures
Modern tooling
Innovative AI organization
Flexible location

Job summary

Partner Company in Germany is seeking an AI-first QA Engineer to lead automated testing initiatives and shape the QA strategy for AI-powered products. The role emphasizes building reliable, scalable health checks and accelerating testing efficiency through automation and AI-assisted workflows.

You will collaborate with engineering and product teams to embed quality from the earliest stages of development, design robust test coverage across layers, and drive continuous improvement in release

Qualifications

  • 3+ years of experience in QA automation with proven experience designing, implementing, and maintaining automated testing solutions.
  • Strong understanding of software testing methodologies, test planning, prioritization, documentation, and test design principles.
  • Hands-on experience with Playwright and familiarity with Selenium or similar automation frameworks.
  • Strong programming skills in TypeScript or another object-oriented programming language, with Python experience considered a plus.
  • Experience building and maintaining automation frameworks and improving QA processes within software development teams.
  • Ability to use AI tools effectively to improve productivity across test creation, automation, analysis, and reporting workflows.
  • Experience with REST API testing tools such as Postman, REST-assured, or Playwright API testing.
  • Understanding of different testing layers, including unit, integration, and end-to-end testing approaches.
  • Familiarity with QA tools such as Allure and TestRail.
  • Experience using Git and understanding of branching strategies and merge request workflows; knowledge of GitLab CI/CD is a plus.
  • Awareness of load and performance testing tools such as Locust or K6 is beneficial.
  • Strong problem-solving skills with the ability to prioritize tasks and take ownership from planning through completion.
  • Effective communication skills and ability to collaborate with cross-functional teams.
  • Advanced English proficiency, both written and spoken.

Responsibilities

  • Develop and maintain automated testing solutions that improve product quality and increase confidence throughout the development lifecycle.
  • Define and execute automation strategies based on product risks, scalability needs, and long-term quality objectives.
  • Analyze existing QA processes, identify improvement opportunities, and implement initiatives that enhance testing effectiveness.
  • Design comprehensive test coverage using advanced test analysis techniques across different testing layers, including unit, integration, and end-to-end testing.
  • Build, maintain, and improve automation frameworks and QA tools to ensure they remain reliable, scalable, and easy to use.
  • Use AI-powered tools daily to accelerate problem-solving, improve test design, enhance reporting, and increase engineering productivity.
  • Collaborate closely with engineers, product teams, and cross-functional stakeholders to integrate quality practices early in the development process.
  • Participate in code reviews, sprint planning, refinement sessions, and QA sign-off processes.
  • Take ownership of quality responsibilities within assigned product areas and drive continuous improvements.
  • Mentor team members, share QA expertise, and promote best practices across engineering teams.

Skills

Playwright
Selenium
TypeScript
Python
API testing
Git/GitLab
CI/CD
AI tools usage
English proficiency

Tools

Playwright
Selenium
Postman
REST-assured
Git
GitLab CI/CD
Allure
TestRail
Locust
K6

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI-first QA Engineer based in Germany.

This role offers the opportunity to redefine quality assurance practices in an AI-driven technology environment. You will help build reliable, scalable products by combining advanced testing methodologies with AI-powered workflows. The position focuses on automation, quality strategy, and continuous improvement throughout the software development lifecycle. You will collaborate with engineering teams to embed quality from the earliest stages of development and delivery. By leveraging modern tools and innovative approaches, you will improve testing efficiency, product reliability, and team productivity. This is an ideal opportunity for a QA professional passionate about automation, AI adoption, and building high-quality software at scale.

Accountabilities
  • Develop and maintain automated testing solutions that improve product quality and increase confidence throughout the development lifecycle.
  • Define and execute automation strategies based on product risks, scalability needs, and long-term quality objectives.
  • Analyze existing QA processes, identify improvement opportunities, and implement initiatives that enhance testing effectiveness.
  • Design comprehensive test coverage using advanced test analysis techniques across different testing layers, including unit, integration, and end-to-end testing.
  • Build, maintain, and improve automation frameworks and QA tools to ensure they remain reliable, scalable, and easy to use.
  • Use AI-powered tools daily to accelerate problem-solving, improve test design, enhance reporting, and increase engineering productivity.
  • Collaborate closely with engineers, product teams, and cross-functional stakeholders to integrate quality practices early in the development process.
  • Participate in code reviews, sprint planning, refinement sessions, and QA sign-off processes.
  • Take ownership of quality responsibilities within assigned product areas and drive continuous improvements.
  • Mentor team members, share QA expertise, and promote best practices across engineering teams.
Requirements
  • 3+ years of experience in QA automation with proven experience designing, implementing, and maintaining automated testing solutions.
  • Strong understanding of software testing methodologies, test planning, prioritization, documentation, and test design principles.
  • Hands‑on experience with Playwright and familiarity with Selenium or similar automation frameworks.
  • Strong programming skills in TypeScript or another object‑oriented programming language, with Python experience considered a plus.
  • Experience building and maintaining automation frameworks and improving QA processes within software development teams.
  • Ability to use AI tools effectively to improve productivity across test creation, automation, analysis, and reporting workflows.
  • Experience with REST API testing tools such as Postman, REST‑assured, or Playwright API testing.
  • Understanding of different testing layers, including unit, integration, and end‑to‑end testing approaches.
  • Familiarity with QA tools such as Allure and TestRail.
  • Experience using Git and understanding of branching strategies and merge request workflows; knowledge of GitLab CI/CD is a plus.
  • Awareness of load and performance testing tools such as Locust or K6 is beneficial.
  • Strong problem‑solving skills with the ability to prioritize tasks and take ownership from planning through completion.
  • Effective communication skills and ability to collaborate with cross‑functional teams.
  • Advanced English proficiency, both written and spoken.
Benefits
  • Remote‑friendly work environment with flexibility to work from different locations.
  • Opportunity to join a globally distributed team collaborating across multiple countries and cultures.
  • Chance to contribute to the evolution of AI‑powered products and modern quality engineering practices.
  • High‑impact role with ownership over QA strategy, automation improvements, and engineering processes.
  • Opportunity to work in an innovative AI‑focused organization where employees actively use AI tools to improve workflows.
  • Collaborative culture focused on ownership, continuous learning, and meaningful impact.
  • Professional growth opportunities through exposure to modern technologies, tools, and methodologies.
  • Inclusive workplace environment that values diverse perspectives and encourages employees to contribute their ideas.
  • Opportunity to help transform a fast‑growing technology platform operating in a global market.
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