Quora

Engineering Manager, Poe Platform

Quora

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $183,647 - $267,615 per year

Job Level

SeniorLead

Tech Stack

DockerJavaScriptKubernetesPythonTerraform

About the role

  • Lead, mentor, and grow a high-performing platform engineering team by fostering a culture of technical excellence, collaboration, and continuous learning
  • Drive initiatives to improve developer velocity by streamlining workflows and reducing friction
  • Uphold and drive high standards for best engineering practices across Poe teams
  • Leverage the latest AI tools to enhance team productivity
  • Define and align the team’s roadmap with organizational goals
  • Establish processes for operational efficiency and reliability
  • Guide technical design discussions and long-term strategy
  • Build foundational systems, frameworks, tools, and abstractions (testing frameworks, CI/CD pipelines, developer environments) to enhance developer productivity

Requirements

  • Availability for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
  • Bachelor’s Degree in Computer Science or a related technical discipline, or equivalent experience
  • 8+ years in software engineering with proficiency in programming languages like Python and JavaScript
  • 2+ years of experience managing engineers, fostering their growth and professional development
  • Proven experience in designing and scaling systems that enhance developer workflows, such as CI/CD pipelines, testing frameworks, and automation tools
  • Proven ability to manage complex projects, prioritize effectively, and deliver scalable, high-quality technical solutions on time
  • Exceptional ability to articulate complex technical ideas to both technical and non-technical stakeholders
  • A proactive mindset with a passion for tackling challenges, improving processes, and driving engineering excellence
  • Preferred: Hands-on experience with AI platforms, frameworks, and APIs, including integrating AI/ML solutions into engineering systems
  • Preferred: In-depth experience with modern container orchestration and infrastructure-as-code tools (e.g., Kubernetes, Docker, Terraform)
  • Preferred: Familiarity with designing and maintaining highly scalable, reliable, and fault-tolerant systems for developer platforms
  • Employment eligibility by country (see careers.quora.com/eligible-countries); may require legal authorization to work or visa sponsorship inquiries
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