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Microsoft Principal Software Engineer Taiwan, Taoyuan City 692345931
15.05.2025
As a, you will define and drive the architecture of the core systems behind this platform—spanning real-time decision services, streaming pipelines, and ML inference integration. You will also help lay the foundation for emerging AI-enabled enforcement flows, including agentic workflows that reason, adapt, and take multi-step actions using large language models and learned policies.
Required Qualifications:
- Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- 6+ years of experience in backend or distributed systems engineering, with a proven record of system-level architectural leadership.
- Advanced proficiency in C++, C# or equivalent systems languages.
- Deep experience designing and scaling streaming or real-time systems (e.g., Kafka, Flink, Beam).
- Solid command of performance profiling, load testing, capacity planning, and operational rigor.
- Comfort designing systems for high QPS, low latency, and regulatory traceability.
- Familiarity with ML inference orchestration, model deployment workflows, or online feature pipelines.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
- Bachelor's Degree in Computer Science
- OR related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- 10+ years of experience in backend or distributed systems engineering, with a proven record of system-level architectural leadership.
- Understanding of LLM integration, RAG, or agentic task flows, even at an architectural/infra layer.
- Experience building systems that support human-in-the-loop moderation, policy evolution, or adaptive enforcement logic.
Experience building efficient, scalable ML inference platforms.
Responsibilities
- Design and evolve large-scale, low-latency distributed systems that evaluate ads, content, and signals in milliseconds across global workloads.
- Lead architectural efforts across stream processing pipelines, real-time scoring services, policy engines, and ML integration points.
- Define system-level strategies for scalability, performance optimization, observability, and failover resilience.
- Partner with ML engineers and applied scientists to integrate models into production with cost-efficiency, modularity, and runtime predictability.
- Guide technical direction for next-generation capabilities, including the early architecture of agentic/LLM-powered policy orchestration flows.
- Influence platform-wide standards, review designs across teams, and mentor senior engineers through deep technical leadership.
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