Microsoft Senior Software Engineer - Frontend 

Taiwan, Taoyuan City 

220314015

Our backend stack:

• Linux on Azure
• GraphQL API gateway
• Postgres, CosmosDB, Redis, RabbitMQ
• Java and Ruby on Rails services, deployed as docker containers
• Mesos and Kubernetes container orchestration
• Observability: Grafana metrics, Azure Data Explorer log aggregation

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 7+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Strong understanding of modern web tech stack e.g. TypeScript, React, Redux, Webpack, Jest.
• Deep expertise in web markup including CSS3, HTML5.
• Strong troubleshooting and performance tuning skills.
• Holistic understanding of client technology including front-end, API, networking, and the browser itself.

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 8+ 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 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Broad experience across multiple FE technologies.
• Good understanding of best practices of building cross browser and device independent interfaces.
• Expertise improving performance (FMP, TTI, bundle size, etc).

• Design, build, and maintain services with millions of users, operating in multiple global regions.
• Collaborate with product, design, and engineering to deliver a delightful experience.
• Continually seek deeper insights into the performance and scalability of our systems.
• Experiment, A/B test key hypothesis to make data driven decisions.
• Improve service reliability, performance and latency.