Microsoft Software Engineer II 

Taiwan, Taoyuan City 

852441509

a trusted platform that enables productive and healthy enterprises in an era of AI transformation and remote work. We aim to solve our customers' business challenges by helping organizational leaders understand how AI is transforming outcomes and improving productivity. We deliver value through personalized and deep analysis of Copilot and AI adoption, recommending actions to enhance productivity.

We embrace a startup culture, dreaming big, working hands-on with customers, and building innovative solutions. Our mission is to empower individuals, managers, and leaders toproductivity and business resilience in the world of AI evolution.

We seek individuals with a strong passion for technology, intellectual curiosity, and a willingness to learn and share. This opportunity allows you to make a broad positive impact using a range of software tools and services, including large-scale interactive data analytics, scalable map-reduce, machine learning and AI, LLM models, service and data engineering, security, compliance, and service management. We process hundreds of millions of users and billions of.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• AND 2+ Years of Full Stack Developer Experience.

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 4+ 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 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Good technical, cross group collaboration and communication skills.
• Customer-focused innovation.
• Knowledge of modern engineering practices like automated deploymentswith integrated quality gates and experience working with modern version control systems like Git.
• Demonstrated depth andexperience indesignand implementation of large-scalecloud services.
• Building extensible and maintainable services that last the test of time.
• Experience with data analysis and machine learning.

• Drive detailed design and implementation of a highly scalable distributed, big data and analytics cloud service that serves interactive and intelligent data insights.
• Be a key contributor to delivering a high-quality,highly availableservice thatmeets customerSLAs across the globe.
• Drive thinking and improvements for systems and engineering processes with simplicity and maintainability as core tenets.
• Deliver value through a strong collaborative approach spanning many teams across geographies.
• Mentor and develop junior engineers through sharing and learning.
• Be a role model foropen, honest, and inclusive approach to problem solving.
• Collaborate withappropriate stakeholderstodetermineuser requirements for a scenario.
• Drive identification of dependencies and the development of design documents for a product, application, service, or platform1.
• Create, implement, optimize, debug, refactor, and reuse code toestablishand improve performance and maintainability, effectiveness, and return on investment (ROI).
• Leverage subject-matterexpertiseof product features and partner withappropriate stakeholders(e.g., project managers) to drive a workgroup's project plans, release plans, and work items.
• Proactively seek new knowledge and adapt tonew trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.