SG
Junior Full Stack Engineer at Invesco developing and optimizing web applications using React and Java Spring Boot in a hybrid work environment.
About the role
- 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).
Benefits
- RealSelf is an Equal Opportunity Employer
- Equal Opportunity/Affirmative Action employer
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