Senior QA Engineer (AI Platform Systems)

Experience and Skills

• Senior-level experience, including 4+ years of professional experience in Quality Assurance, Quality Engineering, or Software Testing.
• C1 English level or higher.
• Strong Python programming skills for test automation and scripting.
• Proven experience testing REST APIs and backend services.
• Experience validating data-driven applications and complex workflows.
• Hands-on experience with automated testing frameworks such as PyTest, Playwright, Selenium, or Cypress.
• Experience working within Agile software development teams.
• Ability to work independently and provide technical leadership within a small, fast-moving team.
• Hands-on experience with API Testing, Backend Testing.

Skills

• Python
• PyTest
• Playwright
• Selenium
• Cypress
• REST APIs
• API Testing
• Backend Testing
• Agile
• Testing
• automation

Projects

As a Senior QA Engineer, you will establish and lead quality assurance practices across an advanced AI execution platform and its client implementations. You will own the quality strategy from the ground up, defining how testing is integrated into the engineering process from planning through release. Working closely with engineering and product teams, you will design scalable QA processes that support fast-moving AI and software development initiatives. In this role, you will design both manual and automated testing approaches for web applications, APIs, and complex AI-driven workflows. You will build and maintain automated test suites using Python and modern testing frameworks, validating data pipelines and third-party integrations. This is an opportunity to take complete ownership of QA standards and play a pivotal role in ensuring the reliability of cutting-edge AI systems.

Key Responsibilities

• Design and implement comprehensive QA strategies and scalable testing processes for new products and client integrations.
• Build and maintain automated test suites using Python and modern frameworks to validate web applications, APIs, and data pipelines.
• Develop test plans, test cases, regression suites, and release validation processes.
• Identify, document, prioritize, and verify software defects throughout the development lifecycle.
• Collaborate with software engineers to integrate quality assurance early in the development cycle and improve overall release readiness.
• Leverage AI tools and modern methodologies to optimize QA efficiency, test coverage, and defect analysis.

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

Nice to Have

• LLMs
• Generative AI
• RAG
• SQL
• CI/CD
• Performance Testing
• Load Testing
• Cloud-native Systems