Senior / Lead Quality Engineer

$$$

About Intent Solutions Group:
 

At Intent Solutions Group, we specialize in delivering cutting-edge software products and digital solutions across industries like Robotics, Healthcare, IoT, and Digital Media. As an AWS Consulting Partner, we transform ideas into scalable, future-ready solutions that drive meaningful outcomes. Our commitment to innovation, collaboration, and growth empowers our team to deliver exceptional results and push the boundaries of technology.
 

About the Client and Product:
 

Our client provides one of the world’s leading online video platforms, designed to power live streaming, online presentations, live conferences, events, tutorials, and training sessions. Leveraging cutting-edge browser-based video capture technologies, the platform can support thousands of simultaneous viewers during live events.
 

Built with advanced video pipeline technologies used by leading organizations like Amazon Video and Netflix, the platform encodes and streams millions of minutes of video content annually, making it a key player in the digital video space.


 About the Role:

We are seeking a Senior / Lead Quality Engineer to define and drive QA excellence across the product lifecycle.
This role is focused on establishing high-quality standards, improving QA maturity, and introducing modern, AI-driven testing approaches to optimize delivery speed and product reliability.
You will act as a key quality owner, working closely with product, engineering, and design teams to ensure scalable and robust QA practices. A strong focus is placed on innovation, including the use of Artificial Intelligence (AI) to enhance testing efficiency, coverage, and defect detection.
The ideal candidate is a hands-on QA leader who combines deep testing expertise with a forward-thinking mindset and is comfortable shaping QA strategy while actively contributing to execution.
 


 

Requirements

  • 7+ years of experience in Quality Assurance with proven delivery of high-quality software products
  • Strong expertise in manual, exploratory, and risk-based testing methodologies
  • Experience defining and implementing QA strategies at team or product level
  • Deep understanding of SDLC and Agile/Scrum frameworks (advanced Scrum participation expected)
  • Strong experience with defect tracking and test management tools (e.g. Jira, TestRail, Zephyr or similar)
  • Experience working with CI/CD pipelines (e.g. Jenkins, Maven, or equivalent tools)
  • Good understanding of cloud environments, preferably Amazon Web Services
  • Experience testing web and mobile applications, including cross-browser and cross-platform validation
  • Upper-intermediate or higher English with ability to communicate clearly with technical and non-technical stakeholders

     

     

     

  • AI & Modern QA (Required)
     
  • Hands-on experience using AI tools in QA workflows (e.g. ChatGPT, GitHub Copilot) for:
    • test design and generation
    • defect analysis and root cause assistance
    • test data generation
    • documentation and reporting
       
  • Familiarity with AI-driven QA approaches:
     
    • AI-assisted exploratory testing
    • risk-based testing supported by AI insights
    • intelligent test prioritization
       
  • Understanding of limitations of AI systems (hallucinations, inconsistency, non-deterministic outputs)
  • Ability to validate AI-generated outputs against real requirements and system behavior
  • Interest in applying AI to improve QA efficiency, coverage, and cycle time
     

     

     

     

  • Nice to Have
     
  • Experience with AI-powered testing platforms:
    • Mabl
    • Testim
    • Applitools
       
  • Exposure to test automation frameworks and maintenance strategies
  • Experience with self-healing test systems and flaky test reduction techniques
  • Familiarity with testing APIs for AI/LLM-based systems (e.g. OpenAI API or similar services)
  • Basic understanding of AI/ML concepts relevant to QA evaluation (accuracy, precision, recall at high level)
  • Experience mentoring QA engineers and leading QA initiatives across teams
     
  • Responsibilities
     
  • Define, implement, and evolve QA strategy across the product lifecycle
  • Design and maintain comprehensive test plans, test cases, and test scenarios
  • Lead execution of functional, regression, exploratory, and integration testing
  • Drive defect lifecycle management and ensure high-quality bug reporting
  • Collaborate with engineering, product, and design teams to ensure clear acceptance criteria and quality alignment
  • Integrate AI tools and approaches into QA workflows to improve efficiency and coverage
  • Monitor QA metrics and continuously improve QA processes
  • Mentor and support junior and mid-level QA engineers
  • Act as a quality advocate within Scrum ceremonies and product discussions
  • Stay current with QA trends, tools, and AI-driven testing innovations
     


 

Benefits


We gladly offer:
 

  • Work in a flexible, Agile, and multinational team where innovation and collaboration drive success.
  • Leverage your skills and experience to develop state-of-the-art software products while expanding your expertise in cutting-edge technologies.
  • Gain access to training and learning opportunities to grow your skillset and stay ahead in the ever-evolving tech landscape.
  • Work with leading global clients across industries and become a domain expert in AWS and cloud-based solutions.
  • Enjoy a modern office located in the city center, providing a dynamic and inspiring workspace.
  • Benefit from the flexibility to work both remotely and on-site, allowing you to balance professional and personal commitments effectively.
     


 

Required languages

English B2 - Upper Intermediate
Ukrainian Native
Published 1 April Β· Updated 4 May
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