Principal Software Engineer

Microsoft Microsoft · Big Tech · Redmond, WA +1 · Software Engineering

Principal Software Engineer on the Ads Data Platform Team, which powers Microsoft's global ads marketplace. The role focuses on building and advancing the core capabilities of the Ads serving stack, a high-scale, low-latency, geo-distributed system involving large-scale machine learning inference for ad ranking and real-time bidding infrastructure.

What you'd actually do

  1. Work with Bing Ads stakeholders to determine requirements for new features to drive up Ads business. Create system design for feature requirements. Assure system meets security and compliance requirements and expectations. Creates a clear and articulated plan for testing and assuring quality solutions.
  2. 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.
  3. 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. Responds within Service Level Agreement (SLA) timeframe. Escalate issues to appropriate owners.
  4. Build knowledge, share new ideas, and share 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. Contribute to the development of automation within production and deployment of a product feature.
  5. Profile and analyze distributed system performance and capacity bottlenecks. Propose and implement solutions to improve system latency and capacity to meet Bing Ads online serving requirements.

Skills

Required

  • Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience
  • coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • security and compliance requirements
  • system design
  • testing and quality assurance

Nice to have

  • Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience
  • Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience
  • Azure experience
  • big data, distributed and online system design, implementation and qualification
  • 2+ years’ experience in Distributed Systems and Big Data Technologies such as Spark, Hadoop, HDFS, Kafka, Flink, Scala

What the JD emphasized

  • high-scale, low-latency, geo-distributed system
  • machine learning inference for ad ranking
  • real-time bidding infrastructure
  • massive scale
  • low-latency
  • distributed system performance

Other signals

  • massive scale
  • low-latency
  • machine learning inference
  • real-time bidding
  • distributed system performance