Senior Software Engineer

Microsoft Advertising empowers the world’s largest advertisers to reach their maximum potential through digital advertising solutions on the Microsoft Advertising platform. The Ads Data Management Platform team is seeking a highly skilled and experienced Senior Software Engineer to join our dynamic team to build a new modernized User Identity Graph by ingesting data across several Microsoft data sources, interface with the partner teams, build diagnostics and monitoring capabilities, analyze on the data source quality, and make the graph building pipeline robust and scalable while supporting the existing Graph pipeline. Additionally, this role enables the candidate to work closely with Applied Scientists to measure the graph quality by designing rigorous online and offline experimentation frameworks, working in a cross-functional setup to amplify graph usage, and translating complex data into actionable insights that drive business impact.

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.

• Lead architecture discussions, develop design specifications to meet performance, scalability, resiliency, and security standards.
• Identify dependencies and collaborate across teams to achieve common goals, ensuring security, compliance, and performance across systems.
• Collaborate with partner teams to ensure end-to-end testing, live-site readiness, performance, and scalability before go-live.
• Create clear test strategies independently, ensuring solution quality, security testing, and test automation with AI tools.
• Stay current with new developments, conduct learning sessions, and drive engineering improvements.
• Build code applying secure design principles and best practices, scaling products to customer requirements.
• Apply and promote security best practices, including security code review, deployment gates, monitoring, and incident response.
• Develop or enhance software engineering tools, advocate for best practices, and share knowledge.
• Ensure compliance with security, privacy, safety, and accessibility standards and regulations.
• Partner with stakeholders to drive project planning, release management, and incorporate security and disaster recovery considerations.
• Use and improve deployment frameworks ensuring safe deployment and rollback plans.
• Lead experiments using feature flags and collaborate on metrics for success and guardrails.
• Engage with customers and stakeholders to confirm and incorporate requirements, including security and privacy.
• Maintain live site services, mitigate issues, improve documentation and monitoring, and enable secure operations.
• Act as designated responsible individual (DRI) for on-call duties, incident management, and escalations.
• Integrate telemetry and logging to improve monitoring, incident investigation, and security analysis.
• Conduct thorough code reviews focused on quality, security, compliance, and best practices.
• Use debugging tools and telemetry proactively to verify assumptions and investigate production issues.
• Use AI tools responsibly across the software development lifecycle and improve AI practices within the team.

Required Qualifications:

• 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.

Preferred Qualifications:

• 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 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, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.

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