Software Engineer 6 - Ads Account Foundations

Netflix Netflix · Big Tech · United States · Remote · Engineering

Software Engineer 6 role focused on building foundational advertising account systems at Netflix. This involves rebuilding the account data model, developing an enrichment layer for advertiser intelligence, automating cohort assignment and verification, and building a spend attribution engine. The role requires experience in cloud-based applications, the ads domain, and API-first services, with a focus on operational excellence and architectural decisions for a scalable advertising business.

What you'd actually do

  1. Rebuilding the account data model that can actually represent how advertisers and agencies are structured in the real world, representing HoldCo hierarchies, brand relationships, and multi-tier agency structures with strong governance being enforced.
  2. Building the enrichment layer to identify where advertisers spend externally, how they're structured, and whether our internal data matches reality.
  3. Building the automated attribution engine responsible for mapping programmatic spend due to ads originating from DSPs we are integrated with, back to advertisers, agencies, and ad accounts across all supply channels.
  4. Handling cohort assignment and identity verification at scale in an automated manner.

Skills

Required

  • 7+ years of experience building cloud-based applications with modern programming languages
  • 4+ years of experience in Ads domain on demand side systems
  • Broad knowledge of ad tech and advertising landscape, programmatic advertising, and digital marketing trends.
  • Experience in building multi-tenant, API-first services, including REST/GraphQL best practices, versioning/backward-compatibility concerns, and spec-driven design patterns (OpenAPI, Avro, Protobuf).
  • Familiarity with API Gateway patterns around authentication, authorization, rate limiting, load shedding, and ingress control.
  • Familiarity with Object/Entity lifecycle management and data governance associated with it.
  • Operational excellence experience with customer-facing APIs, including SLO tracking, incident management, and observability tooling
  • Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
  • Excellent communication, negotiation, and relationship-building skills.

Nice to have

  • Contributed to an ads industry technology standard (e.g VAST, OpenRTB) or worked on an industry consortium effort, working group etc.
  • Working knowledge of AI/ML/genAI techniques and an ability to apply them to the account management lifecycle or API reliability monitoring.
  • Early experience with customer-facing MCP concerns, such as defining tools contracts, security concerns (prompt injection, data exfiltration), and integration with other AI agents.
  • Experience working in the CTV space and knowledge of its unique constraints

What the JD emphasized

  • modern programming languages
  • Ads domain
  • demand side systems
  • API-first services
  • customer-facing APIs
  • operational excellence
  • getting the architecture right the first time