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Senior Quality Engineer - Data Analytics & AI

Job

  • Level
    Senior
  • Job Field
    Test/QA
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Location
    Munich
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you will focus on ensuring the quality of new features, developing automated tests for React and Python, validating data pipelines, and enhancing test coverage within CI/CD processes.

    Job Technologies

    Your role in the team

    • Close collaboration with development teams and product management in planning, implementing, and executing end-to-end testing for new features and platform components, as well as responsibility for release quality criteria and go-live decisions.
    • Development and maintenance of automated test suites (unit, integration, API, and UI tests) for React-based frontends and Python backend services.
    • Testing and validation of data pipelines, ML models, and AI-based functions in terms of functionality, stability, and output quality.
    • Participation in the integration of automated tests within CI/CD pipelines (e.g., Azure DevOps) as well as support for deployments and releases.
    • Systematic identification, documentation, and tracking of bugs, as well as close collaboration with the development teams in troubleshooting and improving test coverage.
    • Active participation and continuous improvement of QA processes, testing methods, and documentation.

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    Our expectations of you

    Qualifications

    • Extensive hands-on experience with modern test frameworks and tools (e.g., Playwright, pytest, unittest, REST API tests) as well as exploratory testing.

    Experience

    • At least 5 years of professional experience in Quality Engineering or Software Testing, particularly in test automation within cross-functional teams.
    • Excellent programming skills in Python as well as JavaScript/TypeScript and experience in independently developing automated tests.
    • Experience with CI/CD environments, ideally Azure DevOps, and integrating automated tests into pipelines.
    • Knowledge in testing cloud-based architectures (preferably Azure), distributed systems, and APIs; experience in data or AI environments is advantageous.
    • Experience with QA tools for bug tracking and documentation. Proficient in German and English.

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    What we offer

    • Flexible working hours: Our flexible working hours allow you to adapt your working schedule to your personal needs.
    • Special payments: In addition to a market-competitive salary, we offer attractive special payments such as a corporate success bonus or other performance-based salary components.
    • Occupational Health Management: Our occupational health management includes, among other things, the E-Gym Wellpass, which provides you access to a variety of fitness and health services, as well as a company pension scheme to help you prepare for your future.

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    Benefits

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    Topics that you deal with on the job

    Job Locations

    • Location Munich

      Bayern

      Germany

    This is your employer

    TÜV Süd AG

    TÜV Süd AG

    Our passion for technology and safety is unbroken since 1866. Every day we set ourselves for the safety of people and society and create confidence in new, innovative technologies.

    Description

  • Company Size
    250+ Employees
  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Public Service, Unions
  • Dev Reviews

    by devworkplaces.com

    Total

    (1 Review)
    3.2
    • Culture

      3.7
    • Workingconditions

      2.8
    • Engineering

      3.0
    • Career Growth

      3.3
    Show All Dev Reviews
    Logo TÜV Süd AG

    Senior Quality Engineer - Data Analytics & AI

    Location
    Munich
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders

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