The Principal Software Engineer will play a crucial role in developing an agentic bidding platform that utilizes AI and machine learning to optimize ad auctions across Microsoft’s marketplaces. This position involves collaborating with data scientists and engineers to create systems that can autonomously learn and adapt to marketplace signals. The engineer will also focus on building large-scale data validation frameworks and ensuring operational excellence for mission-critical services. This role directly impacts advertiser ROI and contributes to significant revenue generation for Microsoft.

• 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 equivalent experience.
• Master'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.
• 4+ years of hands-on experience with large-scale streaming platforms such as Apache Spark or Flink.
• 4+ years of experience as a technical lead, including mentoring and guiding engineers.
• 7+ years of experience developing and deploying large-scale distributed systems in production environments.
• 7+ years of hands-on experience in machine learning operations (MLOps), including pipeline automation, monitoring, and lifecycle management.

• Collaborate with data scientists, ML engineers, and product teams to define requirements for agentic AI-driven bidding capabilities.
• Architect and implement the next-generation agentic bidding platform, enabling AI agents to monitor marketplace signals and optimize bidding strategies.
• Build large-scale data validation and quality frameworks to ensure correctness and reliability across all auction-critical signals.
• Act as a Designated Responsible Individual (DRI) to drive operational excellence and high-availability practices for mission-critical bidding services.
• Develop experimentation and simulation frameworks to validate agent behavior before deployment in live auctions.
• Proactively adopt new patterns, technologies, and engineering practices to improve availability, efficiency, and performance across the bidding stack.
• Set technical direction, mentor engineers, and foster a culture of high-quality execution and innovation.
• Explore and invest in emerging AI techniques to enhance the autonomy and impact of the bidding platform.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.