Senior Software Engineer (Index Build)

Index Build (IB) is one of the core components of IndexServe in Bing Fundamentals. IB is the link between the offline document processing and the online serving. It prepares and distributes a servable version of the search index to all IndexServe machines. In addition, it provides a persistence layer for data in IndexServe and decouples the backend data processing, layout and format from IS online system.

We are looking for software engineers with a background in:

Agile service feature development.
Service performance profiling and scaling-up; and Distributed service design, implementation, Collaborating across multiple teams to design and deliver the solutions.

Required/minimum 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#, Java, Go or Rust
OR equivalent experience.

Additional or preferred qualifications
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#, Java, Go or Rust
OR 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#, Java, Go or Rust
OR equivalent experience.
Experience on large scale storage system
Experience on high-performance computing (e.g., cache/memory optimization, high-performance GPU programming, compiler-based optimization, fine-grained parallel library, and runtime) or distributed systems (e.g., communication optimization, network architecture design, network programming) is a plus.
Experience on building Machine Learning/Deep Learning systems is a plus.

#MicrosoftAI

As a senior engineer in IB, you will work closely with the partner teams in US to design and develop efficient and scalable index build and index update systems. The modern IB systems will facilitate the experiments for relevance.