Summary
Janet Lee is a Senior Software Engineer on Azure with seven years of focused cloud engineering experience and over two decades designing resilient networked systems. At Microsoft she drives Azure Machine Learning inferencing platform work and previously led Service Fabric SRE efforts, blending production-focused reliability with AI deployment expertise. Her background spans high-performance networking, distributed databases, and scalability from roles at Riverbed, Sycamore Networks, and BBN, giving her deep systems-level insight across C++, Python, and large-scale Linux services. She brings practical experience with NetFlow, VxLAN, load balancing, and real-time embedded systems—skills that inform robust cloud-native architecture decisions. Known for moving low-level networking realities into reliable platform features, she excels at bridging infrastructure, performance engineering, and ML deployment. Trained at MIT in electrical engineering, she pairs rigorous technical foundations with a long track record of shipping production-critical systems.
7 years of coding experience
25 years of employment as a software developer
Electrical Engineering, Electrical Engineering at Massachusetts Institute of Technology