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QA Engineer (AI Solutions Team)

Hybrid - Middle

Kazakhstan, Almaty

We’re looking for a QA to join the AI Solutions Delivery team.

The team is responsible for the development and implementation of AI solutions, currently focusing on automation in Customer Support — including first-line support, driver verification, and content moderation. Our goal is to deliver reliable, scalable AI-driven tools that streamline operations and improve user experience.

As a QA, you’ll be working with backend-heavy services, primarily testing APIs using Python and Pytest. We put strong emphasis on test coverage and automation, ensuring the robustness of AI systems integrated into complex business workflows.

Apply for this position

Responsibilities

  • Actively participate in all stages of the product lifecycle, from initial concept through to deployment
  • Test backend services, analyze results, and identify issues
  • Develop and maintain test plans, test cases, and documentation for applications
  • Write API automated tests using Pytest or other relevant tools
  • Identify, document, and track bugs and issues using a bug tracking system.
  • Collaborate with cross functional teams to understand project requirements and clarify ambiguities
  • Perform regression testing to ensure product stability after new changes
  • Collaborate with TechOps and other teams to implement quality management processes and improve testing

Qualifications

  • 3 or more years of experience in QA, predominantly with backend testing.
  • Proficient in Pytest and Python for writing test scripts.
  • Proficient in working with Linux and related tools; solid knowledge of Bash scripting.
  • Understanding of Docker, Kubernetes principles, basic CI CD knowledge, and the ability to analyse backend service logs, including using Open Lens or similar tools.
  • Experience with Kafka and Kibana or a willingness to quickly learn them.
  • Skilled in testing RESTful and gRPC APIs.
  • Basic proficiency in SQL.
  • Good understanding of client server and microservice architecture.
  • Ability to work in a team. Familiarity with the basics of Machine Learning or a willingness to learn.

Conditions & Benefits

  • Stable salary, official employment
  • Health insurance
  • Hybrid work mode and flexile schedule
  • Relocation package offered for candidates from other regions
  • Access to professional counseling services including psychological, financial, and legal support
  • Discount club membership
  • Diverse internal training programs
  • Partially or fully payed additional training courses
  • All necessary work equipment

Interested? Fill out the form below!

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