
Staff Software Engineer, Experimentation Platform
Posted 5 days ago

Posted 5 days ago
This is a fully remote position, open to applicants in United States.
• Design, develop, and maintain Discord's cutting-edge experimentation platform, which encompasses core services, data pipelines, configuration tools, statistical analysis instruments, and user experience.
• Work collaboratively with external stakeholders and customers at Discord, including those who may not have a technical background.
• Comprehend and influence product telemetry practices to cater to experimentation requirements.
• Create engaging user experiences and scalable data systems that support internal teams and product features utilized by millions of users on a daily basis.
• Partner with various stakeholders across Discord to test features, machine learning models, and more.
• Guide and mentor engineers, fostering their development and enhancing their capabilities.
• Over 7 years of experience as a full-stack software engineer.
• Proven experience in creating internal tools.
• Familiarity with A/B testing methodologies and statistical frameworks.
• Experience with experimentation tools.
• Extensive background in leading complex technical projects to successful conclusions.
• Experience in developing systems with robust data governance that prioritizes privacy and security.
• Proficiency in Python and SQL.
• Experience with relational, NoSQL, and data warehouse databases.
• Strong product awareness and excellent communication skills.
• A history of mentoring engineers across various levels.
• A tendency to monitor industry trends and introduce new techniques to solve technical challenges.
• Experience in building fundamental components of experimentation platforms from the ground up is a significant advantage.
• Familiarity with Typescript or Rust is a plus.
• Experience in developing human-in-the-loop AI systems and evaluating AI products is a bonus.
• Familiarity with cloud-computing platforms like Google Cloud Platform or AWS is advantageous.
• Experience with modern data processing frameworks is a bonus.
• Background in full-stack development or product engineering is a bonus.
• A deep understanding of statistics, data science, or large-scale data processing is an additional asset.
• Equity
• Comprehensive benefits
• Reasonable accommodations during the interview process
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