Principal Software Engineer, Ads Infrastructure

Unity Technologies

Mountain View, CA, United States
Base: $250,000 - $340,000 usd; bonus/equity: not s...
On-site
Large scale distributed systems
Kubernetes and cloud native architectures
Production grade backend services
The Ads Infrastructure team builds and operates core distributed systems for one of the largest real-time advertising platforms globally, focusing on resilient, scalable, and cost-efficient systems

Job Summary

  • The Ads Infrastructure team builds and operates core distributed systems for one of the largest real-time advertising platforms globally, focusing on resilient, scalable, and cost-efficient systems.
  • This senior individual contributor role involves owning critical architectural decisions, driving long-term platform evolution, and partnering with leadership on technical direction while remaining hands-on.
  • The role requires defining and guiding architecture for large-scale distributed systems, taking end-to-end ownership of critical infrastructure domains, and driving operational excellence through SLO frameworks and automation.

Matching Summary

The Ads Infrastructure team builds and operates core distributed systems for one of the largest real-time advertising platforms globally, focusing on resilient, scalable, and cost-efficient systems.

Salary

Base: $250,000 - $340,000 USD; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • large scale distributed systems
  • Kubernetes and cloud native architectures
  • production grade backend services
  • Kafka and large scale data processing
  • multi region deployments
  • operational excellence and reliability

Nice-to-have

  • distributed caching and storage engines
  • service mesh and routing architectures
  • online advertising and adtech domain knowledge
  • distributed systems concepts understanding

Key Requirements

  • 10 or more years of experience
  • Designing, building, and operating large scale distributed systems
  • High availability production environments experience
  • Kubernetes and cloud native architectures in GCP, AWS, or Azure
  • Multi cluster and multi region patterns experience
  • Advanced expertise in distributed infrastructure

Work Rights

Not specified

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