The Principal Software Engineer will play a key role in shaping the future of the Bing Ads auction platform, focusing on building scalable and reliable solutions for ad delivery. This position involves leading technical direction, solving complex engineering challenges, and collaborating with various teams including engineering, product, and design. The role is ideal for someone who enjoys addressing large-scale distributed systems problems and has a passion for AI-driven advertising. The engineer will also mentor others and contribute to a culture of innovation and collaboration.

• 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.
• Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
• Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
• 5+ years of experience owning and operating production services as a Designated Responsible Individual (DRI) or on-call owner.
• Proven technical design, problem-solving, and debugging skills, with experience working on large, complex production systems.

• Combine technical expertise, cross-team leadership, and business impact to shape the future of the Bing Ads platform.
• Own critical components of the ads serving stack end-to-end, improving scalability, performance, reliability, maintainability, observability, and engineering efficiency.
• Lead the evolution of the core auction and pricing engine, ensuring correctness, efficiency, low latency, and solid business outcomes for revenue and ad quality.
• Drive ambiguous, high-impact technical initiatives from concept to delivery, defining strategy, aligning multiple teams, and leading execution through influence.
• Partner closely with engineering, product, design, and applied science teams to deliver complex cross-functional features and integrate new AI-powered capabilities into the auction platform.
• Set architectural direction across teams by leading design reviews, modernizing shared platform capabilities and development frameworks, and reducing system complexity.
• Advance AI-enabled engineering practices and developer productivity through improved tooling, automation, and platform investments.
• Mentor engineers, establish high engineering standards, and raise the technical bar across the organization.
• Ensure the health of a high-scale, low-latency platform serving billions of requests daily by driving operational excellence, incident response, root-cause analysis, capacity planning, and performance optimization.
• Connect technical decisions to business outcomes, translating long-term strategy into a prioritized technical roadmap that improves customer experience, platform reliability, and business growth.

• 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.