Mountain View, United States; Redmond, United States
Full job description
The Data Management Platform (DMP) team in Bing Ads at Microsoft AI is hiring a Principal Software Engineering Manager in Redmond, WA or Mountain View, CA. The role involves leading technical design, system architecture, automation, security, compliance, and people management for large-scale data pipelines and services. Candidates must have a Bachelor's degree in Computer Science or related field with 6+ years of engineering experience coding in C, C++, C#, Java, JavaScript, or Python, or equivalent experience. Preferred qualifications include a Master's degree with 8+ years experience or Bachelor's with 12+ years. Responsibilities include fostering collaboration, enforcing security and compliance, managing project execution, guiding experimentation, overseeing deployment and live-site operations, and promoting continuous learning. The position requires passing Microsoft Cloud background checks and meeting security screening requirements. Salary ranges from $142,800 to $274,800 annually in the U.S., with higher ranges for San Francisco Bay area and New York City. The role is on-site with an expectation to work from the office at least four days per week.
What you'll do
Provide technical leadership on identifying dependencies and incorporating them into design documents
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Mountain View, United States; Redmond, United States
Full-time
Foster collaboration across teams to align schedules and ensure security, compliance, and performance
Establish best practices for test strategies including security testing, testable code design, and AI tool automation
Lead system architecture design for complex products ensuring security, scalability, and compliance
Oversee automation in production and deployment with continuous integration and deployment infrastructure
Drive collaboration with partner teams for end-to-end testing, scalability, and live-site readiness
Enforce security best practices, code reviews, deployment gates, and incident response processes including AI safety features
Ensure compliance with security, privacy, safety, and accessibility regulations with audit evidence
Lead development and reuse of software tools to support efficient engineering practices
Champion new coding standards, secure design principles, and AI tooling adoption
Promote continuous learning and skill development through knowledge sharing and training
Manage project and release planning, resource management, and adherence to security and compliance
Guide experimentation using feature flags and telemetry to inform product decisions
Oversee safe and optimized deployment practices including rollback plans and dependency monitoring
Drive people management by modeling leadership principles, coaching, and fostering growth
Establish and oversee telemetry, monitoring, and incident response processes
Lead live-site operations with incident response, playbook development, on-call improvements, and automated mitigation tools
Provide technical and people leadership in code reviews to ensure quality, test coverage, and coding standards
Oversee teams in producing maintainable, well-tested, secure, performant code and managing blockers
Develop best practices in debugging, incident retrospectives, and cost-effective problem resolution ensuring privacy and security
Requirements
Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in C, C++, C#, Java, JavaScript, or Python or equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Pass Microsoft Cloud background check upon hire/transfer and every two years thereafter
Preferred: Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience or Bachelor's Degree AND 12+ years experience or equivalent
Certain roles may be eligible for benefits and other compensationAdditional benefits and pay information available at https://careers.microsoft.com/us/en/us-corporate-pay
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