Staff Backend Architect — Safety & Moderation (Python)

Discord

California (MO)

Hybrid

USD 279,000 - 341,000

Full time

14 days+
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Job summary

Discord is seeking a Staff Software Engineer for the Safety Processing team to lead backend systems that process safety signals and automate content moderation. The role emphasizes Python expertise, architectural leadership, and a proactive adversarial mindset to protect users.

You will guide engineers, collaborate across teams, and help deploy ML/AI models for safer content decisions at scale, in a US-based hybrid setup with potential remote options.

Qualifications

  • Experience building and maintaining backend systems in Python.
  • Strong system design and architecture skills for large-scale projects.
  • Ability to lead workstreams and guide engineers through implementation.
  • Experience in domains requiring trust, safety, security, or privacy.
  • Experience being on a 24/7 on-call rotation for production systems.

Responsibilities

  • Lead, design, and build scalable backend systems for processing safety-related signals, primarily using Python.
  • Guide and mentor the team through architectural challenges to ensure long-term scalability.
  • Collaborate with cross-functional teams to build tools for content moderation and compliance.
  • Implement and enhance ML/AI models and automation for content moderation decisions.
  • Address safety challenges with an adversarial mindset and drive impactful outcomes.

Skills

Python
Architectural Leadership
Leadership in Execution
Adversarial Mindset
On-Call Experience

Tools

TypeScript
JavaScript/React
Rust

Job description

Discord is seeking a Staff Software Engineer for the Safety Processing team to lead backend systems that process safety signals and automate content moderation. The role emphasizes Python expertise, architectural leadership, and a proactive adversarial mindset to protect users.

You will guide engineers, collaborate across teams, and help deploy ML/AI models for safer content decisions at scale, in a US-based hybrid setup with potential remote options.

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