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Microsoft Senior Software Engineer - Fabric Graph 
Taiwan, Taoyuan City 
336159448

24.04.2025

. This is a world of, more innovation, more openness, and the skya cloud-enabled world.data platform for the age of AI, powering a new class of data-first applications and driving a data culture.

the operating system and providesa unified data stack to run an entire data estate. The platform provides

services and infrastructure

better served

Qualifications

Qualifications

  • Bachelor’s Degree in Computer Science, or related technical discipline AND4+ years technical engineering experience with coding in languages including, butnot limited to, C, C++, C#, Java, JavaScript or Python
    • OR equivalent experience
  • 4+ years hands-on experience in development and operations of distributed systems, parallel processing or database systems as an individual contributor
    • OR equivalent experience
  • Demonstrated experience in high-performance compute, low-latency serving or algorithm development.

Other Requirements

to meet Microsoft, customer and/or government security screening requirementsfor this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:

  • This position will berequiredto pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.


Preferred/Additional Qualifications

  • ​Demonstrated experience in designing, developing, andmaintaininglarge-scale cloud infrastructure and distributed services.
  • Experience with graph database technologies and query languages, such asOpenCypheror Datalog, in a cloud-based infrastructure.
  • Knowledge of query execution, workload optimization, and performance tuning in distributed database systems and cloud infrastructure.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Responsibilities
  • You will lead the development of core components for a scalable, cloud-based infrastructure, including distributed storage, networking, and service orchestration.
  • You will design, implement, and drive modularization, optimization, testing, reliability, and observability of cloud infrastructure components.
  • You will define and implement observability metrics, analyzing them to enhance system performance, reliability, and operational efficiency.
  • You will contribute to the collection, classification, and analysis of large-scale operational and system performance data.
  • You will guide the team in executing multi-group project plans, release schedules, and task prioritization in collaboration with key stakeholders (e.g., project managers).

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