Design and implement backend services and data pipelines that power large-scale Ads conversions, attribution, and campaign measurement. Contribute to the evolution of a unified Ads conversions architecture supporting conversion tracking, attribution, incrementality, reporting, and optimization workflows. Own and improve high‑throughput, SLA‑driven ingestion and processing pipelines for partner data, ensuring reliability, resiliency, and operational excellence. Integrate external partners—including conversion, analytics, and measurement providers—using robust identity, onboarding, schema governance, and workflow mechanisms. Implement solid security, privacy, and compliance controls, including access policies, data-use restrictions, consent-aware processing, and auditable execution paths. Partner with product, data science, privacy, and security teams to deliver measurement capabilities that advertisers trust and depend on. Maintain a high bar for code quality, operational readiness, monitoring, incident response, and continuous improvement. Leverage AI dev tools across the software development lifecycle (SDLC). 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 These requirements include but are not limited to the following specialized security screenings: 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. 5+ years building large‑scale distributed systems, backend services, or data infrastructure. Experience with large‑scale data processing frameworks (e.g., Spark, SQL‑based pipelines) and cloud platforms (preferably Azure). Understanding of secure data processing, encryption, identity, and access control. Experience building and operating services with strict SLAs. Background in Ads conversions, advertising measurement, attribution, lift modeling, or privacy-preserving analytics. Experience building conversion tracking, attribution, event-processing, or high-scale measurement systems. Familiarity with privacy-enhancing technologies, consent management, data minimization, or privacy-conscious measurement approaches. Experience onboarding or integrating third-party conversion, analytics, or measurement partners. Solid problem‑solving skills with a focus on reliability, observability, and system design.
Want jobs like this matched to you?
SimpleCareer scores fresh postings against your résumé so you only see the matches that matter.