Jobs · Engineering · California

Manager, Software Engineering, Core Infra

Snap Inc. · Palo Alto, CA · 5 days ago
Engineering$229k–$343k/yrFull-time

About the role

The Core Infrastructure team is looking for a hands-on Engineering Manager to lead the platform that powers Snap's critical Storage & Caching Infrastructure. This is a unique opportunity to shape Snap's storage and caching strategy as we scale to meet the demands of an AI-first world.

Responsibilities

  • Manage and mentor a team of backend and full-stack developers, in a fast-paced, quick-to-market environment
  • Build infrastructure for data processing at Snap with large scale distributed systems
  • Set the strategy, build a roadmap, create measurable goals, and lead your team to deliver
  • Collaborate with Product, Operation, Data Science and Engineering teams, and executive stakeholders
  • Evaluate the technical tradeoffs of major decisions and be a strong technical mentor
  • Hire, grow and retain high-performing team members

Qualifications

  • Background with building high availability and mission critical systems
  • Experience with leading an engineering team
  • Experience leading and executing large, complex technical initiatives
  • Minimum Qualifications: Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience
  • 8+ years of post-Bachelor’s software development experience; or a Master’s degree in a technical field + 7+ year of post-grad software development experience; or a PhD in a related technical field + 3+ years of post-grad software development experience
  • 1+ years of experience managing a team of engineers or acting as a technical lead
  • Experience building large scale distributed systems
  • Experience with big data processing and pipelines

Preferred Qualifications

  • Familiarity with the driving large scale initiatives from ideation to completion
  • Track record of delivery in rapidly changing, highly collaborative, multi-stakeholder environments
  • Experience with Hadoop, Hive, Trino, BigQuery, and Spark

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