Software Engineer II at Microsoft

Responsibilities

• You will work with a team of applied scientists and developers who are responsible for all stages of the research & development cycle including early ideation, design, implementation.  
• Develop distributed systems to run ML models in production at high-scale 
• Improve distributed system reliability by instrumenting code and analyzing metrics 
• Create, manage, and optimize data pipelines for our data science workflows 
• Be part of discussions on architectural design and solutions, continuously striving to improve customer experience and efficiency. 
• You will have the opportunity to participate in frequent hackathons that allow you to work with many different teams from around the world. 
• Contributing to an inclusive and collaborative environment, with local and remote partners, to turn requirements into simple, elegant, and optimal solutions at large scale. 
• You will internalize and champion Microsoft’s culture and values 

Qualifications

Required qualifications:

• Bachelor and/or graduate degree in computer science, engineering, mathematics or related field, or equivalent experience. 
• Proficient design, coding, testing, and debugging abilities in any object oriented programming language of your preference such as Java, C++, C# and a scripting language (e.g. Python) 
• Proven technical problem-solving skills. 
• Demonstrates focus on quality throughout the development process 
• Has a confident, solution- and result oriented working style combined with constructive critical thinking. 
• Interest or prior experience with engineering Machine Learning based solutions 
• Grounded in a growth mindset, advocate for inclusion and diversity, and strong self-awareness.

Preferred qualifications: 

• Experience with ML Ops 
• Good knowledge of statistics 
• Experience in designing and developing distributed systems