Software Engineer in Test (Berlin)
Cresta - Berlin, Germany (Hybird)
Posted Dec 11, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Software Engineer in Test (Berlin) Berlin, Germany (Hybird) Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta's unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world's leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world's leading investors, including a16z, Greylock, and Sequoia. Cresta's leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. About the Role: We are seeking a diligent and detail-oriented Software Engineer in Test to join our engineering team in Berlin, Germany. This role will be crucial in ensuring the robustness, scalability, and high quality of our software solutions and will be highly focused on building, expanding, and maintaining our automated testing ecosystem. While strong manual testing instincts are important, this role is designed for someone who will spend the majority of their time writing code, advancing automation, and developing internal tools. The ideal candidate is someone who can independently identify what and
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