Microsoft Senior Cloud Software Engineer - Storage 

Taiwan, New Taipei, New Taipei 

975348861

and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and delivering a trusted experience to customers and partners worldwide and we are looking for passionate, high-energy engineers to help achieve that mission.

Azure Memory and Storage Center of Excellence (AMS COE) is part of the CHIE organization focusing on Memory and Storage devices going into the Cloud hardware servers. AMS provide memory and storage solutions to Azure, drive memory and storage suppliers to deliver high quality products, meetingrequirements.

We are looking for an experienced hands-on Software Engineer in SSD/HDD solutions for fleet health with a strong passion for customer focused solutions, insight and industry knowledge to architect and specify hardware storage solutions thatfor quality, reliability, cost, and performance.

Required Qualifications:

• B.S. Degree in Computer Engineering, Computer Science, Electrical or equivalent experience

• + years of software/firmwareengineeringdevelopmentexperience

• Ability to analyze storage system solutions and drive towards recommendation based on data and objective reasoning

• Ability to lead collaborative technical projects from conception to successful implementation

• Demonstrable organizational, problem solving and prioritization skills

• Ability to deal with ambiguity, resolve conflicts, prioritize multiple strategic and tactical options and drive issues to closure without compromising on quality

• track recordof successfully influencing others at all levels of the organization

Preferred Qualifications:

• M.S. Computer or Electrical Engineering

• Experience with computer/server storage architecture and development of SSD based storage systems solutions

• Experience with distributed/cloud computing technologies and services (Spark, Hadoop, Azure, AWS, Cosmos)

• Experience with scripting and query languages such asPowershell, SQL andKustoqueries (Azure Data Explorer)

• Experience with Visualization tools, such as Power BI

• Experience in machine learning (practical ML models with real world application) and ML tools for modeling and analysis (PyTorch,TensorFlow,scikit-learn), pipeline, training and deploying a model

• Experience in HDD hardware or firmware design, architecture, and development

• Design and build infrastructure for storage devices at scale

• Develop scalable live monitoring capabilities, failure detection and prediction algorithms for storage devices

• Investigate, triage and root cause SSD/HDD related failures in Azure solutions

• Build automation for operations of storage devices

• Collaborate with suppliers to design reliable, high performance and quality storage devices

• Develop ML algorithms for failure prediction

• Analyze data toidentify, prototype, and drive the implementation of technical and process improvements to increase the predictability, agility, and quality of Azure systems

• Actively support Azure service stakeholders