cus on cross-layer privacy risk assessment;
- Help implement test tools and collaborate with automation/performance test teams to build internal tools/frameworks/platforms to improve testing productivity across multiple stacks;
- Track defects and manage bugs throughout the entire software development cycle, with special attention to privacy leakage, incorrect data handling, and cross-system inconsistency.
Qualifications
Minimum Qualifications:
- BS/MS degree in a relevant field: Computer Engineering, EE, or Cybersecurity;
- Testing experience across multiple tiers - including frontend, backend, and data/infrastructure layers - rather than deep expertise in a single platform;
- Fundamental knowledge of distributed systems, common data protection concepts (encryption, access control, auditing), and familiarity with frontend-backend-data interaction patterns;
- Experience with performance testing tools, test automation, and/or test platform development in a polyglot environment;
- Excellent problem-solving skills and ability to coordinate with different global teams, including legal, compliance, and data governance teams when needed;
- Strong passion for protecting user data and ensuring end-to-end privacy quality assurance across the entire technology stack - not limited to a single client.
Preferred Qualifications:
- Familiar with Java/Python/Objective-C/Golang, experience in related projects development;
- Familiar with Redis, NSQ, Zero-MQ, Kafka, Docker, K8s, Hive, Spark.