Senior QA Manual, Remote

About the Position

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.

We are currently seeking a Senior QA Manual to join our global team. This role is remote and based in Bulgaria.

Responsibilities

• Manual QA Activities: 5+ years of experience in manual QA activities across different project types and domains.
• QA Assessments: Experience conducting QA assessments, process audits, and identifying improvement areas.
• Test Strategy: Ability to design and implement test strategies tailored to the project’s context and lifecycle.
• Coordination: Skilled in coordinating and organizing manual QA work within development teams to ensure structured and efficient testing.
• SDLC Understanding: Deep understanding of Software Development Life Cycle (SDLC) and QA’s role.
• Testing Techniques: Strong knowledge of functional testing techniques and a grasp of non-functional testing (e.g., performance, usability, security).
• Defect Management: Designs and manages defect lifecycle processes, performs root cause analysis, and ensures appropriate follow-up actions.
• Quality Metrics: Defines, collects, and tracks product quality metrics to monitor and communicate progress.
• Process Improvement: Constantly seeks process improvements to optimize testing efficiency and effectiveness.
• API Testing: Proficient in manual API testing using tools like Swagger, Postman, or similar solutions.
• CI/CD Pipelines: Basic understanding of CI/CD pipelines; capable of working in pre-configured environments and integrating QA activities into delivery workflows.
• Gen AI Implementation: Ability to implement Gen AI into QA work with experience in using tools like Claude, Codex, Copilot, or similar.

Requirements

• Practical experience using AI-powered assistants (e.g., Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.
• Work from the European Union region and a work permit are required.

Nice to Have

• 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

About the Company

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.