Staff Software Engineer

Summary

Join Discord's Ads Delivery team and contribute to the development of a significant revenue stream by designing, building, and maintaining scalable ad delivery systems. You will work on high-impact infrastructure, directly influencing how ads are delivered across the platform. This role involves solving complex optimization problems within distributed systems and building an auction-based ads marketplace. You will collaborate with various teams and own projects end-to-end, utilizing large datasets to validate data and algorithms. The position requires extensive experience in backend development, large-scale system design, and technical leadership.

Requirements

• 8+ years of professional software engineering experience, particularly in backend development with systems like Python, Rust, and Elixir
• Experience with large-scale system design, including database design, querying, and data caching
• Familiarity with cloud environments and observability tools such as Datadog
• A technical leadership background with at least 2 years of experience leading teams in a technical capacity
• Proficiency with event streaming tools like Kafka or PubSub
• A data-driven mindset and excitement for designing robust systems through infrastructure and algorithm validation
• A high degree of empathy for users, both internal and external, with a keen sense to seek feedback and continuously improve

Responsibilities

• Design, build, and maintain scalable systems for delivering the best ad experience while balancing obligations to advertisers
• Solve complex challenges related to high-volume data collection, ads ranking, budget pacing, and frequency capping
• Collaborate with teams such as Data Platform, Serving Infrastructure, and Persistence Infrastructure to understand and meet requirements
• Own projects from end-to-end, refining requirements with Product teams, creating technical designs, implementing changes, and overseeing launches
• Partner with a small set of teams to define problems and build solutions into high-scale, reliable, and observable infrastructure
• Utilize insights from large datasets to validate data and algorithms, crafting well-designed, available, and observable systems

Benefits

• Equity
• Benefits