Senior Distributed Systems Engineer - Ad Tech Platform

Netflix; New York (NY); On-site; USD 388,000 - 619,000; Full time

Benefits offered by this job

Health plans

Mental health support

401(k) retirement plan with employer-m

Stock options

Paid time off

Job summary

Netflix is seeking an experienced engineer to help architect and operate backend services for core ad decisioning and delivery. You will design scalable APIs and data models, optimize high-throughput serving, and own the full lifecycle from design to incident response in a distributed ad platform.

Strong collaboration with cross-functional teams is required. You will tackle capacity planning, observability, and platform reliability, ensuring low-latency performance at scale while aligning

Qualifications

• Experience building and operating highly available, distributed systems at massive scale.
• Deep understanding of ad-tech concepts (publisher policies, targeting and frequency management).
• Proven ability to design scalable APIs and data models for multi-service ecosystems.

Responsibilities

• Architect and operate backend services for core ad decisioning and delivery.
• Design APIs and data models to enable interoperability across the Ad Platform ecosystem.
• Optimize high-throughput serving for low-latency ad delivery in distributed environments.
• Drive operational excellence with SLO-driven development and proactive capacity planning.
• Develop diagnostics, logging, and telemetry for deep observability of system health.

Skills

Distributed systems

Ad tech

APIs

Data modeling

Observability

Job description

Netflix is seeking an experienced engineer to help architect and operate backend services for core ad decisioning and delivery. You will design scalable APIs and data models, optimize high-throughput serving, and own the full lifecycle from design to incident response in a distributed ad platform.

Strong collaboration with cross-functional teams is required. You will tackle capacity planning, observability, and platform reliability, ensuring low-latency performance at scale while aligning