Senior Software Engineer rebuilding and modernizing RealSelf’s advertising infrastructure. Collaborating on backend services to ensure ad systems are reliable and scalable.
Responsibilities
Design and lead the architecture for RealSelf’s AdTech infrastructure, including sponsored listings, native ads, GAM integrations, eventing, and performance tracking and optimization pipelines.
Build and scale backend services using Kevel, Node.js, TypeScript, and SQL that manage ad delivery, budget pacing, and impression tracking.
Refine data ingestion and attribution systems that connect first-party engagement data with off-platform signals to improve targeting and measurement.
Collaborate across engineering and analytics to design APIs, data contracts, and machine learning data feeds used for ad optimization.
Mentor and guide engineers, setting standards for code quality, observability, reliability, and system performance.
Partner with product, sales, and leadership to define the roadmap for RealSelf’s ad and sponsorship systems, ensuring technical scalability and compliance with privacy laws (GDPR, CCPA, etc.).
Lead key modernization initiatives, such as launching self-service provider onboarding and migrating legacy systems into event-driven, privacy-aware data pipelines.
Own reliability and uptime metrics for all monetization-related backend services.
Requirements
5+ years of backend or infrastructure engineering experience, with at least 1+ years in AdTech, Ads Measurement, or Revenue-focused systems.
Deep understanding of ad delivery, targeting, and attribution systems (e.g., GAM, Facebook Ads, or custom-built ad servers).
Proven experience designing high-throughput, low-latency distributed systems in Node.js, TypeScript, or Go.
Strong foundation in data modeling, event-driven architecture, and analytics pipelines.
Familiarity with Ads privacy frameworks (GDPR, CCPA, ATT) and privacy-preserving measurement techniques.
Experience with cloud infrastructure (AWS preferred), infrastructure-as-code tools (CloudFormation, CDK, or similar), containerization (Docker, Kubernetes), and CI/CD best practices.
Proficiency in leveraging AI tools to accelerate code delivery and improve quality.
Excellent communication and collaboration skills, with experience working cross-functionally with data, ML, and product teams.
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
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