The Online Advertising business is experiencing rapid growth, creating significant technical challenges that require computationally intelligent and scalable algorithms. Microsoft's Ads Frontdoor team is at the core of this effort, working on large distributed systems with low latency and high throughput to design, develop, and operate a global ads marketplace. The Principal Software Engineer will help build highly scalable, highly performant services that host state-of-the-art machine learning models, impacting many components of the stack.
Requirements
- coding in languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript, or Python
- 5+ years of experience in distributed system engineering and multi-threading programming.
- 5+ years of experience in machine learning and online system design, implementation and qualification.
- 5+ years of experience in profiling and analyzing distributed system performance and capacity bottlenecks
- 5+ years of experience in Azure
- 5+ years of experience in C. C++
Responsibilities
- Create system design for feature requirements.
- Implement the features with high efficiency, extensibility, diagnosability, reliability, and maintainability with few defects.
- Reviews code of product to assure it meets the team's and Microsoft’s quality standards, is reliable and accurate, and is appropriate for the scale of the product feature.
- Maintain operations of live service as issues arise on a rotational, on-call basis.
- Identifies solutions and mitigations to simple and complex issues and escalates as necessary.
- Acts as a Designated Responsible Individual (DRI) working on call to monitor system/product feature/service for degradation, downtime, or interruptions.
- Profile and analyze distributed system performance and capacity bottlenecks.
Other
- Work with BingAds stakeholders to determine requirements for new features to drive up Ads business.
- Assure system meets security and compliance requirements and expectations.
- Creates a clear and articulated plan for testing and assuring quality of solutions.
- Responds within Service Level Agreement (SLA) timeframe.
- Builds knowledge, shares new ideas, and shares pinpoints of engineering tool gaps to improve software developer tools to support other programs, tools, and applications to create, debug, and maintain code for product features.
