1 day ago
Remote, India +2 moreSenior / Staff+
Responsibilities
- Architect and implement scalable, low-latency backend services for mobile app monetization.
- Build and optimize SSP-DSP integration workflows, bid handling, loss diagnostics, privacy-aware signals, and mobile inventory quality systems.
- Design traffic shaping and QPS optimization systems based on bid probability, win probability, spend potential, app quality, device and geographic signals, ad format, consent, and DSP behavior.
- Improve runtime handling, compatibility, tracking, completion, and reward callbacks for mobile advertising formats.
- Develop privacy-aware attribution and measurement capabilities, including identifier handling, consent enforcement, SKAN readiness, MMP signal passing, and privacy-safe fallbacks.
- Build publisher- and buyer-facing diagnostics for supply quality, fill, eCPM, tracking mismatches, attribution readiness, and buyer no-bids.
- Collaborate cross-functionally to define mobile advertising roadmaps, signal-quality standards, request fields, placement semantics, and partner feedback loops.
- Champion observability and operational excellence through structured logs, dashboards, alerts, safe rollouts, latency protection, production debugging, and incident response.
Requirements
- Five-plus years of backend engineering experience building high-scale, low-latency systems, preferably in mobile advertising, SSP, DSP, ad exchange, mediation, mobile SDK, app-install, or programmatic AdTech domains.
- Strong knowledge of mobile app inventory signals including app bundles, app store URLs, SDK versions, placement types, rewarded indicators, device identifiers, operating systems, carriers, connection types, geographic signals, consent status, and ad format metadata.
- Strong understanding of mobile ad formats and performance advertising concepts such as app-install campaigns, CPI, CPA, ROAS, retention, lifetime value, post-install events, and retargeting where permitted.
- Experience with mobile attribution and measurement ecosystems, including MMPs, AppsFlyer, Adjust, Singular, Firebase, SKAdNetwork, Android attribution changes, click tracking, impression tracking, and delayed or aggregated conversion signals.
- Strong knowledge of mobile privacy and compliance constraints including Apple ATT, IDFA, Android Advertising ID, Google Privacy Sandbox for Android, COPPA, GDPR, CCPA/CPRA, TCF, GPP, and do-not-sell/share flags.
- Practical knowledge of mobile supply quality and fraud prevention, including app and SDK spoofing, device spoofing, geographic mismatches, VPN/proxy traffic, click injection, click spam, invalid traffic, app-ads.txt, sellers.json, and SupplyChain object validation.
- Bachelor's degree in engineering, such as Computer Science or Information Technology, or an equivalent degree.
- Excellent written, verbal, interpersonal, collaboration, and cross-functional ownership skills.
- Bonus: experience with mobile monetization SDKs, client-server ad request flows, mediation, in-app bidding, server-side bidding, waterfalls, unified auctions, or open-source AdTech projects.
- Bonus: familiarity with real-time ML model-serving infrastructure, incrementality measurement, audience segmentation, cohort optimization, privacy-safe targeting, privacy-preserving user IDs, and real-time mobile monetization analytics pipelines.
- Bonus: publications, patents, internal platform leadership, or speaking engagements in mobile monetization, AdTech infrastructure, RTB optimization, privacy-safe advertising, or ML for AdTech.
Benefits
- Hybrid work schedule with three days in the office and two days working remotely.
- Paternity and maternity leave.
- Healthcare insurance.
- Broadband reimbursement.
- Office kitchen with healthy snacks and drinks and catered lunches.
- Competitive compensation, performance-based incentives, and career growth opportunities.
Tech Stack
Firebase
Categories
