Fetch

Fetch

Staff Backend Engineer - Ads Experiences

USA · Staff+ · Full-time

Sponsorship not specifiedDetected 41 days ago
iOSAndroidDistributed SystemsBackend DevelopmentAPI DevelopmentA/B TestingIncident ResponseCollaborationCritical ThinkingMentoringAdaptability

About the role

  • These platforms power rewarded gaming and play experiences, shopping rewards, card-linked earning, and the offer infrastructure that connects consumers, brands, and advertisers across Fetch.
  • These platforms directly impact user engagement, retention, and monetization, requiring systems that are reliable, observable, and capable of processing high volumes of transactions and events with accuracy and consistency.
  • This is a high-impact role at the intersection of distributed systems, data, and consumer product experiences, where scalability, reliability, and operational excellence are non-negotiable.

Responsibilities

  • Engineers at Fetch take pride in building reliable, scalable systems that serve millions of users.
  • You will contribute directly to the codebase, collaborate closely with cross-functional partners, and help shape best practices that elevate the quality of our work.
  • Design and scale core services that power rewarded gaming, shopping rewards, card-linked earning, and offer delivery experiences, building highly available systems that support millions of users and drive measurable business outcomes.
  • Build and evolve backend services that determine offer eligibility, earning qualification, reward attribution, and fulfillment outcomes using real-time transactional, behavioral, and partner-provided signals.
  • Develop consumer-facing and platform APIs that support offer discovery, reward experiences, earning flows, partner integrations, and internal tooling across Fetch's Ads Experiences ecosystem.
  • Design reliable event-driven systems and data flows that process high volumes of transactions, installs, purchases, and earning events while maintaining accuracy, consistency, and operational efficiency.
  • Build platform capabilities that enable experimentation, feature rollouts, configuration-driven behavior, and rapid product iteration while maintaining system integrity and reliability.
  • Partner across Product, Data, Analytics, and Engineering to define platform capabilities, evaluate technical tradeoffs, and ensure technical investments align with business objectives and long-term platform strategy.
  • Lead architectural decisions across multiple services and domains, balancing scalability, reliability, maintainability, and development velocity as Ads Experiences continues to grow.

Requirements

  • 12+ years of experience designing, building, and operating backend systems that support critical, user-facing products at scale.
  • Proven experience designing and operating event-driven architectures and data-intensive systems that integrate multiple internal and external data sources.
  • Experience making architectural decisions involving scalability, reliability, latency, operational cost, and developer productivity tradeoffs.
  • Experience defining and operating high-throughput transactional systems where accuracy, consistency, and reliability are critical to the user experience and business outcomes.
  • Experience operating event-driven architectures and large-scale data processing systems used for attribution, eligibility, or consumer engagement workflows.

Compensation

  • At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire.

Benefits

  • Nice to haves/Bonus Points (Preferred Requirements): Direct experience building monetization, rewards, loyalty, marketplace, advertising, gaming, or other revenue-generating consumer platforms.
  • We foster a culture of mentorship and collaboration, where engineers grow by learning from one another and holding a high bar for quality, reliability, and impact.
  • Discover our benefits and how our employees live rewarded at https://fetch.com/careers.

This listing is sourced directly from Fetch's careers page and normalized into a canonical job model.