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DataArt

QA Innovation Lead

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Обявата е публикувана в следните категории

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    *This position is fully remote only for employment in Bulgaria. However, people can also work in one of our offices in Sofia or Varna if they prefer to.

     

    About DataArt

    DataArt is a global software engineering firm and a trusted technology partner for market leaders and visionaries. Our world-class team designs and engineers data-driven, cloud-native solutions to deliver immediate and enduring business value.

    We promote a culture of radical respect, prioritizing your personal well-being as much as your expertise. We stand firmly against prejudice and inequality, valuing each of our employees equally.

    We respect the autonomy of others before all else, offering remote, onsite, and hybrid work options. Our Learning and development centers, R&D labs, and mentorship programs encourage professional growth.

    Our long-term approach to collaboration with clients and colleagues alike focuses on building partnerships that extend beyond one-off projects. We provide the ability to switch between projects and technology stacks, creating opportunities for exploration through our learning and networking systems to advance your career.

     

    Position Overview

    This project focuses on modernizing enterprise-level QA through AI-driven frameworks, predictive quality insights, and automation strategies. The initiative brings innovation to complex integrated environments, moving QA toward a strategic, value-driven function while improving efficiency and delivery accuracy.

    We are looking for an Enterprise QA Innovation Lead who will drive AI-enabled transformation across enterprise QA engagements and elevate quality engineering to a strategic, innovation-focused discipline.

    You will collaborate with enterprise QA specialists, automation engineers, architects, and client stakeholders. The team works in a cross-functional environment with a strong focus on continuous improvement, knowledge sharing, and modern QA practices.

     

    Responsibilities

    • Lead the design and implementation of AI-driven QA frameworks that optimize test coverage, detect anomalies, and generate predictive quality insights
    • Drive process innovation across enterprise QA engagements, identifying opportunities to reduce manual effort, accelerate delivery, and standardize QA practices
    • Collaborate with enterprise clients, internal QA teams, and engineering teams to integrate modern QA methodologies into the SDLC, including shift left, continuous testing, and CI/CD pipelines
    • Develop and deploy advanced automation strategies, leveraging AI-assisted test generation and intelligent regression testing for ERP, e-commerce, and cloud native applications
    • Define metrics and analytics frameworks to monitor QA efficiency, automation ROI, defect trends, and predictive quality indicators
    • Evaluate and introduce emerging QA technologies, AI-driven tools, and best practices for enterprise software quality
    • Act as a strategic innovation partner to enterprise clients, shaping QA approaches for complex environments and delivering measurable business value
    • Lead QA modernization initiatives across enterprise accounts, focusing on process efficiency, automation, and predictive QA adoption

     

    Requirements

    • 8 years of QA experience, including hands on experience with automation frameworks, AI-driven testing, and large scale enterprise systems
    • Demonstrated ability to implement AI assisted QA tools, predictive QA, and continuous testing strategies
    • Background in optimizing QA processes for ERP, ecommerce, and cloud native applications
    • Strong analytical and problem solving skills with experience defining QA metrics and predictive insights
    • Experience collaborating with enterprise clients and internal teams to implement innovative QA solutions
    • Strong communication skills with the ability to convey technical innovation and strategic QA improvements to stakeholders

     

    Nice To Have

    • Experience with AI testing tools such as Playwright MCP, Cursor, or similar
    • Background in QA digital transformation initiatives

     

    What We Offer

    • Unique corporate culture – no micromanagement, friendly atmosphere, freedom, and mutual respect
    • Flexible schedule – ability to change projects, to work from home, and to try yourself in different roles
    • Professional Development Map – a comprehensive map of your professional development within DataArt
    • We hire people not for a project, but for the company. If the project (or your work in it) is over, you go to another project or to a paid “Idle”.
    • Social benefits – additional health insurance, life insurance, sports card, etc.
    • Opportunity to work from another DataArt office in a different city or country (temporarily or permanently)
    • Free English courses
    • Cozy office with a great atmosphere
    • Snacks, drinks, and fruits are always available

     

    reference number: QAS00191