QA engineer

Дата размещения вакансии: 30.06.2026
Работодатель: Бэнкс Софт Системс
Уровень зарплаты:
з/п не указана
Город:
Москва
Требуемый опыт работы:
От 3 до 6 лет

Компания BSS — разработчик комплексного программного решения, включающего платформу ДБО нового поколения Digital2Go, в том числе использующую микросервисы, инновационную омниканальную диалоговую платформу Digital2Speech и комплексную систему информационной безопасности.

Сейчас мы в поиске опытного QA специалиста. Свободный английский обязателен.

В сопроводительном письме укажите, пожалуйста, релевантные проекты и Вашу роль на них.

Primary Responsibilities:
  • Perform functional testing of AI-based products, including Dialog Composer, ChatPlatform and Speech Analytics;

  • Design, execute, and maintain test scenarios for new features and product releases;

  • Automate the creation of test scenarios and regression testing by leveraging modern AI tools;

  • Execute regression testing using existing test suites and ensure product quality before each release;

  • Identify, document, and track defects using Jira or similar issue-tracking systems;

  • Review release notes, user guides, and other product documentation for technical accuracy and completeness;

  • Work closely with developers, product owners, and presales teams to clarify requirements and validate delivered functionality;

Required Skills:
  • 2+ years of experience in software quality assurance or functional testing;

  • Solid understanding of software testing methodologies and the software development lifecycle;

  • Experience with web applications, REST APIs, and client-server architectures;

  • Ability to design clear and comprehensive test cases and acceptance criteria;

  • Experience using defect-tracking tools such as Jira;

  • Good analytical and troubleshooting skills;

  • Good written and spoken English;

AI Skills:
  • Working experience with products like Qase and/or TestRail AI to automate functional testing;
  • Experience using AI assistants (e.g., ChatGPT, Claude, GitHub Copilot, Gemini) to improve testing productivity;

  • Ability to generate and refine test scenarios using AI tools;

  • Experience using AI for regression testing, test data generation, and documentation review is an advantage;

  • Interest in evaluating AI-powered features such as LLMs and conversational AI;

Technical Skills:
  • Basic programming or scripting skills (e.g., Python and/or JavaScript) to understand application logic and assist with test automation;

  • Basic knowledge of JSON;

  • Familiarity with REST APIs;

  • Basic understanding of Git;

Nice to Have:
  • Experience testing conversational AI, contact center, or NLP applications;

  • Knowledge of CI/CD pipelines;

  • Experience with cloud environments (AWS, Azure, etc.);

Personal Qualities:
  • Attention to detail;

  • Strong analytical and problem-solving skills;

  • Curiosity and willingness to learn new AI technologies;

  • Good communication and teamwork skills;

  • Ability to work independently and manage multiple testing activities in parallel;

    Benefits:

  • Competitive salary and benefits;
  • Opportunity to work remotely, flex time;
  • International projects; Travel opportunities;
  • Positive team atmosphere and plenty of room to grow.