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Principal Software Engineer

Architect and build highly scalable backend services and data pipelines that power conversion tracking, attribution, reporting, and campaign optimization. Design end-to-end conversion workflows across online and offline signals, i...

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Microsoft Redmond, WA,US, US Source published Aug 25, 2026 Verified 1 day ago
✓ 95% verification score · Source: Microsoft Careers · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
Principal Software Engineer opportunity at Microsoft
DeadlineSun Feb 21 4:54 PM 2027
EmploymentF U L L T I M E
CountryUS

Overview

Architect and build highly scalable backend services and data pipelines that power conversion tracking, attribution, reporting, and campaign optimization. Design end-to-end conversion workflows across online and offline signals, including conversion goals, event ingestion, identity matching, deduplication, attribution windows, and value processing. Lead engineering direction for high-reliability ingestion and processing systems with clear SLOs, strong resiliency, data quality controls, and top-tier operational excellence. Drive integrations with advertisers and external measurement partners, designing stable interfaces, schema governance patterns, consent-aware data handling, and robust validation. Improve conversion accuracy, freshness, coverage, and explainability through diagnostics, reconciliation, experimentation, and automated monitoring. Champion engineering quality through design

Full job description

Full Job Description

Architect and build highly scalable backend services and data pipelines that power conversion tracking, attribution, reporting, and campaign optimization. Design end-to-end conversion workflows across online and offline signals, including conversion goals, event ingestion, identity matching, deduplication, attribution windows, and value processing. Lead engineering direction for high-reliability ingestion and processing systems with clear SLOs, strong resiliency, data quality controls, and top-tier operational excellence. Drive integrations with advertisers and external measurement partners, designing stable interfaces, schema governance patterns, consent-aware data handling, and robust validation. Improve conversion accuracy, freshness, coverage, and explainability through diagnostics, reconciliation, experimentation, and automated monitoring. Champion engineering quality through design reviews, automated testing, monitoring and alerting, and production readiness. Mentor and guide engineers across the team, strengthening system design depth, architectural thinking, and execution rigor. Collaborate closely with product, data science, privacy, security, reporting, and bidding teams to translate advertiser measurement needs into scalable platform capabilities. Lead the engineering team in applying best practices and AI development tools across the software development lifecycle. 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 These requirements include but are not limited to the following specialized security screenings: 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 OR 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 OR equivalent experience. 7+ years of experience building and operating large‑scale distributed systems, backend services, or data platforms. Solid skills in C#, Java, Go, or Python, and experience with SQL or data-processing frameworks. Expertise in cloud infrastructure (Azure, AWS, or GCP), including service design, storage, compute, networking, and CI/CD pipelines. Demonstrated leadership driving technical architecture, cross‑team execution, and mentoring senior engineers. Experience with conversion tracking, attribution systems, event processing, identity signals, data quality, or privacy-aware advertising measurement. Background in advertising, marketing technology, conversion measurement, attribution, reporting, or large-scale analytics. Experience with web, app, or offline conversion signals, conversion goals, attribution models, optimization signals, or measurement diagnostics. Experience integrating third-party measurement platforms, identity systems, advertiser data sources, or consent-aware event pipelines.

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