Principal Software Engineer, Ads Data Platform

About the role

The Ads Data Platform Team, part of Microsoft AI (Artificial Intelligence), powers the backbone of Microsoft’s global ads marketplace—gathering, storing, and enriching over half a trillion ad-serving events every day. We build data platforms that fuel business analytics, machine learning models, and real-time reporting at massive scale. This role is based in Redmond, WA.

Responsibilities

• Work with BingAds stakeholders to determine requirements for new features to drive up Ads business.
• Create system design for feature requirements, ensuring security and compliance.
• Develop a clear and articulated plan for testing and assuring quality solutions.
• Implement features with high efficiency, extensibility, diagnosability, reliability, and maintainability while minimizing defects.
• Review code to ensure it meets team and Microsoft’s quality standards, reliability, accuracy, and scalability.
• Maintain operations of live service, including rotational on-call duties to address issues as they arise.
• Act as a Designated Responsible Individual (DRI) to monitor system degradation, downtime, or interruptions and respond within SLA timeframes.
• Escalate issues to appropriate owners and identify solutions or mitigations for complex problems.
• Build knowledge, share new ideas, and highlight engineering tool gaps to improve software developer tools.
• Contribute to automation within production and deployment of product features.
• Profile and analyze distributed system performance and capacity bottlenecks.
• Propose and implement solutions to improve system latency and capacity to meet BingAds online serving requirements.

Requirements

• Bachelor'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.
• 8+ years’ experience in Distributed Systems and Big Data Technologies such as Spark, Hadoop, HDFS, Kafka, Flink, or Scala.
• Experience with Azure, machine learning, and online system design, implementation, and qualification.

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, Scala, Java, C#, JavaScript, or Python OR equivalent experience.

Pay

The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. For specific work locations within the San Francisco Bay area and New York City metropolitan area, the base pay range is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation.