The opportunity
Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform.
What you'll do
Automation-Driven Quality: We prioritize automated testing strategies to validate system performance, scalability, and reliability, reducing manual effort and increasing test coverage.
Resilience Testing at Scale: Our SDETs proactively design tests to assess fault tolerance, high availability, and self-healing capabilities across globally distributed environments.
Performance and Load Testing: We build and execute sophisticated test strategies to ensure our infrastructure scales efficiently under extreme workloads.
Shift-Left Testing: We integrate testing early into the development lifecycle, ensuring quality and reliability from the inception of new features.
Data-Driven Decision Making: We leverage metrics, analytics, and real-world traffic patterns to continuously refine our testing methodologies and improve system reliability.
Design, develop, and maintain robust test automation frameworks for cloud-scale distributed systems.
What they're looking for
- Architect performance, load, and stress tests to validate system resilience under high traffic conditions.
- Build fault-injection and chaos engineering strategies to assess the reliability of distributed services.
- Develop and execute end-to-end integration, API, and system-level tests: across microservices-based architectures.
- Implement continuous testing pipelines within CI/CD workflows to accelerate deployment cycles.