Software Engineer, Ads Platform (AdTech)

Location: Mountain View, California, United States

Annual base salary: $155,000–$260,000 USD

Company

hirify.global is a content intelligence platform with more than 40 million monthly active users, combining personalized local news, AI, recommendation systems, and advertising technology.

What you will do

• Own and scale the advertising platform backend, including advertiser-facing Ad Manager and real-time bidding flows.
• Build high-QPS, low-latency serving paths covering ad requests, candidate retrieval, auction and bid servers, events, and attribution.
• Optimize auction yield through floor pricing, timeout and latency budgets, exchange integrations, and network migrations.
• Develop campaign and line-item models, targeting, budget and pacing controls, spend accounting, billing integrity, and advertiser APIs.
• Build DSP capabilities with OpenRTB integrations, creative delivery, audience matching, bid pricing and shading, budget protection, and reconciliation.
• Implement real-time metrics, alerting, discrepancy detection, ad-quality controls, and fraud or invalid-traffic detection.

Requirements

• 5+ years of backend engineering experience with distributed, high-QPS, low-latency production services.
• Experience with Java, Go, C++, or similar backend languages.
• Strong system design skills covering service decomposition, data modeling, caching, streaming and messaging, analytical query engines, and AWS infrastructure.
• End-to-end ownership of revenue-critical or transaction-critical systems, including accounting, idempotency, reconciliation, and production operations.
• Ability to work independently on a small team, translate business problems into measured production systems, and collaborate across product, modeling, SRE, and ad operations.
• Strong written communication and experience with AI-assisted development workflows.

Nice to have

• Advertising experience with DSPs, SSPs, ad exchanges, ad servers, OpenRTB, real-time auctions, header bidding, budget pacing, bid shading, or attribution measurement.
• Integrations with Google Ad Manager, Ad Exchange, Meta or Google ad SDKs, or major mobile exchanges.
• Experience serving CTR/CVR prediction or ranking models in latency-sensitive auctions.
• Experience with brand safety, ad fraud, or invalid-traffic detection.

Culture & Benefits

• High-ownership role on a small team with responsibility from problem definition through production revenue.
• Opportunity to raise technical standards and improve operational resilience across critical advertising systems.
• Collaboration with product, algorithm and modeling, SRE, and ad operations teams.
• Full-time position with potential eligibility for discretionary bonus and stock options.

Hiring process

• Recruiter discussion provides additional details about the overall rewards package and compensation.