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LeadFull-timeJavaScriptTypeScriptPythonJavaRustReactDjangoData ScienceGoAPI
Salary Range
$153,000 - $207,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Staff Engineer to join the Safety Experience team at Discord. This technical leadership role focuses on delivering real business impact on large, ambiguous projects related to safety and compliance.
Key Responsibilities
- →Lead development of high-impact, user-facing safety products that deliver measurable results for Discord's users.
- →Own complex, multi-milestone projects end-to-end, identifying optimal solutions and making independent technical decisions.
- →Design, build, and deploy robust production APIs, backend services, and data pipelines that enable safety features to scale efficiently.
- →Collaborate cross-functionally with Product, Design, Policy, Data Science, ML, Legal, and Trust & Safety Operations to create solutions.
- →Drive engineering excellence by mentoring others and guiding the team through architectural challenges.
- →Respond rapidly to the ever-evolving abuse and compliance landscape with strategic thinking and swift execution.
Requirements
- ✓8+ years of relevant industry experience, with demonstrated ability to deliver high-quality work on complex projects.
- ✓Strong expertise in Python and back-end API frameworks (Flask, Django).
- ✓Strong front-end development skills with JavaScript (React, TypeScript).
- ✓Significant experience in the Safety or Anti-Abuse domain with deep understanding of trust and safety challenges at scale.
- ✓Proven track record of owning large projects end-to-end with varying degrees of ambiguity.
- ✓Demonstrated ability to make independent technical decisions that balance short-term needs with long-term sustainability.
- ✓Experience driving engineering excellence: setting quality standards, conducting thorough code reviews.
- ✓Strong communication skills with ability to provide high-quality technical feedback.
- ✓Experience using metrics and dashboards (e.g., Datadog, Mode, Faros) to make data-driven decisions.
