About this role
Senior Software Engineer
United States, California, Mountain View; +1 more
Job details
Job number
200052061
Date posted
Aug 31, 2026
Work site
4 days / week in-office
Travel
Less than 25%
Profession
Software Engineering
Discipline
Software Engineering
Role type
Individual Contributor
Employment type
Full-Time
Overview
Our team is at the forefront of transforming digital advertising through intelligent automation and large-scale optimization. We design and build the bidding platform that powers real-time ad auctions across Microsoft’s marketplaces - leveraging cutting-edge AI, machine learning, and large-scale distributed systems to bid on behalf of millions of advertisers.
Our systems process billions of auction events daily, optimizing bids in milliseconds to maximize performance and return on ad spend. Engineers and scientists work hand-in-hand, blending algorithmic innovation, reinforcement learning, and large-scale data pipelines to create the intelligence that drives Microsoft Advertising’s success.
We’re looking for a Senior Software Engineer who thrives at the intersection of AI systems, real-time decision-making, and scalable cloud infrastructure. You’ll help shape the next generation of our agentic bidding platform - one that learns, adapts, and optimizes autonomously. Your work will directly influence advertiser ROI and drive billions of dollars in revenue across Bing, MSN, and the Microsoft ecosystem.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Collaborate with data scientists, ML engineers, and product teams to define requirements for agentic AI-driven bidding capabilities that observe, reason, and adapt autonomously.
- Architect and implement the next-generation agentic bidding platform, enabling AI agents to monitor marketplace signals, interpret advertiser and user behavior, and continuously optimize bidding strategies.
- Build large-scale data validation and quality frameworks to ensure correctness, consistency, and reliability across all auction-critical signals feeding the AI agents.
- Act as a Designated Responsible Individual (DRI): drive operational excellence, incident management, on-call readiness, and high-availability practices for mission-critical bidding services.
- Develop experimentation and simulation frameworks to validate agent behavior and optimize policies before deployment in live auctions.
- Proactively adopt new patterns, technologies, and engineering practices to improve availability, efficiency, performance, and scalability across the bidding stack.
- Set technical direction, mentor engineers, and foster a culture of high-quality execution, innovation, and accountability.
- Explore and invest in emerging AI techniques - multi-agent systems, adaptive optimization - to enhance the autonomy, intelligence, and impact of the bidding platform.