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Senior QA Automation & Performance Testing Engineer (Non-Functional Testing)

Bulgaria; Moldavia; Poland; Romania

Hello, let’s meet!

Who We Are

While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started.

What We Do

We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data and AI solutions, and cutting-edge applications to shape the future of tech. Our clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more.

We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland!

Beyond Projects

What makes Xebia special? Our community. We support tech communities, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow.

What sets us apart? 

Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself.

 

You will be:

  • designing, implementing, and owning an end-to-end performance test strategy and roadmap,

  • building and maintaining journey-based performance tests for key user flows and business-critical scenarios,

  • defining performance benchmarks (SLAs/SLOs), run performance baselines, and provide actionable analysis and reporting,

  • setting up and evolve monitoring/observability practices to support performance testing and diagnosis,

  • integrating performance testing into CI/CD pipelines and continuous delivery processes,

  • leading, guiding, and mentoring the team on modern performance engineering practices and tooling,

  • collaborating with engineering, product, and other stakeholders to align on performance goals and drive adoption of the new approach,

  • supporting the transition from the current team/approach by influencing change and ensuring continuity of delivery.

Your profile:

  • at least 5 years of experience in software test automation and strong performance testing knowledge,

  • multi-year hands-on experience in non-functional testing, with a strong focus on performance testing,

  • practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery,
  • proven experience with journey-based performance testing and performance test design for real user scenarios,

  • experience with performance benchmarking, test execution, analysis, and communicating results to technical and non-technical audiences,

  • experience with monitoring/observability concepts and using monitoring data to troubleshoot performance issues,

  • practical experience incorporating performance testing into CI/CD and release processes (continuous delivery),

  • strong stakeholder management and communication skills; ability to lead change and align multiple teams around a new performance testing approach,

  • ability to lead and guide a team, including mentoring and setting quality standards,

  • upper intermediate/advanced English (B2/C1).

Immediate availability or a short notice period is preferred.

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,
  • experience in the parcelling domain. 

 

Recruitment Process:

CV review – HR call – InterviewClient Interview – Decision

 

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