about the company.
We provide critical safety and performance layers for next-generation LLM applications, ensuring seamless integration of AI into global business ecosystems.
about the team.
We focus on building the "operating system" for AI services—solving high-concurrency challenges, optimizing distributed architectures, and setting the gold standard for service reliability at a global scale.
...
ai sre associate director.
- Guangzhou, Guangdong
- posted today
- closes 2026.06.13
job details
summary
- Guangzhou, Guangdong
- CNY480,000 - CNY600,000 per year
- Permanent
- specialisminformation technology
job details
responsibilities.
-Design and refine the end-to-end service operating model for high-traffic AI ecosystems.
-Define system behaviors under extreme load, implementing advanced failure handling, timeouts, and degradation strategies.
- Lead technical initiatives to strengthen the AI and API layers, eliminating structural single points of failure.
- Coordinate cross-component decisions and translate complex design patterns into reusable frameworks and high-quality documentation.
-Drive hands-on implementation while influencing technical direction across various engineering modules.
skills and experience required.
-7+ years in backend or platform engineering with a proven track record in designing scalable, high-traffic services.
- Extensive experience with Distributed Systems, Kubernetes, and cloud-native deployments.
-Strong command of performance tuning, service reliability engineering, and system-level trade-offs.
-Exceptional ability to lead technical discussions, document architectural decisions, and navigate complex design landscapes.
- Fluent in English with the ability to communicate technical trade-offs effectively in a cross-regional, multicultural environment.
-Experience with ML/AI-powered services or backgrounds in internal shared-service teams.
about the company.
We provide critical safety and performance layers for next-generation LLM applications, ensuring seamless integration of AI into global business ecosystems.
about the team.
We focus on building the "operating system" for AI services—solving high-concurrency challenges, optimizing distributed architectures, and setting the gold standard for service reliability at a global scale.
responsibilities.
-Design and refine the end-to-end service operating model for high-traffic AI ecosystems.
-Define system behaviors under extreme load, implementing advanced failure handling, timeouts, and degradation strategies.
- Lead technical initiatives to strengthen the AI and API layers, eliminating structural single points of failure.
- Coordinate cross-component decisions and translate complex design patterns into reusable frameworks and high-quality documentation.
-Drive hands-on implementation while influencing technical direction across various engineering modules.
skills and experience required.
-7+ years in backend or platform engineering with a proven track record in designing scalable, high-traffic services.
...
- Extensive experience with Distributed Systems, Kubernetes, and cloud-native deployments.
-Strong command of performance tuning, service reliability engineering, and system-level trade-offs.
-Exceptional ability to lead technical discussions, document architectural decisions, and navigate complex design landscapes.
- Fluent in English with the ability to communicate technical trade-offs effectively in a cross-regional, multicultural environment.
-Experience with ML/AI-powered services or backgrounds in internal shared-service teams.
show more-Strong command of performance tuning, service reliability engineering, and system-level trade-offs.
-Exceptional ability to lead technical discussions, document architectural decisions, and navigate complex design landscapes.
- Fluent in English with the ability to communicate technical trade-offs effectively in a cross-regional, multicultural environment.
-Experience with ML/AI-powered services or backgrounds in internal shared-service teams.
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梁靖 Stephanie Liang
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