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Overview:
- This role focuses on shaping quality engineering for a sophisticated, cloud-based decision intelligence platform.
- You will build automation across microservices, APIs, user interfaces, graph data, AI/ML models, and agentic workflows.
Responsibilities:
- Design and maintain automated end-to-end, component, API, and contract test suites using Python and browser automation frameworks.
- Set up quality gates within CI/CD pipelines and provision ephemeral containerized test environments.
- Collaborate with engineers and data science teams on shift-left quality, root-cause analysis, and feature validation.
Requirements:
- Bachelor's degree in Computer Science or related field with hands-on automated testing experience.
- Strong Python scripting and experience with REST API testing tools such as Postman or Swagger.
- Working knowledge of graph databases, SQL, and CI/CD platforms, plus familiarity with AI/ML testing.
Not Disclosed
They build a cloud-based decision intelligence platform using AI/ML, graph analytics, and agentic systems. The company is technically ambitious and remote-friendly, focusing on continuous improvement and modern engineering practices.