Senior Software Engineer in Test, AI Quality Infrastructure
Build an intelligent testing ecosystem for a large-scale AI data platform. Develop autonomous tools that validate software, detect regressions, and test distributed systems.
Responsibilities
- Develop production-grade Python frameworks and LLM-driven agents that generate, run, and correct test environments.
- Build runtime verification tools to test data integrity, multi-node failures, and storage engine behavior.
- Advance automation architecture to reduce the need for manual intervention.
- Integrate intelligent code evaluation into CI/CD pipelines in partnership with systems architects.
Requirements
- Strong Python skills, including scalable, object-oriented software development.
- Understanding of distributed systems, Linux kernels, multi-tenant networking, Docker or Kubernetes, and data pipelines.
- Software engineering mindset and experience building automation tools.
Nice to have
- Hands-on experience with or strong interest in LLMs, prompt pipelines, and AI developer environments.