Senior QA Manual, Remote
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 20h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 49d ago
The date the source published, not the day we noticed it (2026-07-28). Last seen at its source just now.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
Bulgaria
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay €82.9k–102.5k/yr
Middle 50% of 8 listings that do state pay — Engineering · all levels · Bulgaria · EUR/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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greenhouse employer's own board first seen 6d ago · last seen just now
The listing
Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.
We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.
In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.
You will be:
5+ years of experience
Extensive experience in manual QA activities across different project types and domains.
Experience conducting QA assessments, process audits, and identifying improvement areas
Ability to design and implement test strategies tailored to the project’s context and lifecycle.
Skilled in coordinating and organizing manual QA work within development teams to ensure structured and efficient testing.
Deep understanding of Software Development Life Cycle (SDLC) and QA’s role
Strong knowledge of functional testing techniques and a grasp of non-functional testing (e.g., performance, usability, security).
Designs and manages defect lifecycle processes, performs root cause analysis, and ensures appropriate follow-up actions.
Defines, collects, and tracks product quality metrics to monitor and communicate progress.
Constantly seeks process improvements to optimize testing efficiency and effectiveness.
Proficient in manual API testing using tools like Swagger, Postman, or similar solutions.
Basic understanding of CI/CD pipelines; capable of working in pre-configured environments and integrating QA activities into delivery workflows.
Ability to implement Gen AI into QA work with experience in using tools like Claude, Codex, Copilot or similar
Your profile:
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Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.
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Work from the European Union region and a work permit are required.
Nice to have:
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Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work.
- Interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches.
Recruitment Process:
CV review – HR call – Interview – Client Interview – Decision