Staff Software Engineer — Storage & Caching (AI-ready)

Snap Inc.

San Francisco (CA)

On-site

USD 229,000 - 343,000

Full time

14 days+
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Benefits offered by this job

Medical coverage
Parental leave
Equity in RSUs

Job summary

Snap Inc. is seeking a Staff Technical Lead to shape storage, caching, and identity infrastructure. You will drive multi-quarter initiatives, design distributed systems across AWS/GCP, and mentor engineers to improve reliability, performance, and developer experience at scale.

You’ll partner with infrastructure and product teams, influence architectural choices, and contribute to AI-enabled platform improvements for an AI-first world.

Qualifications

  • Design and operate backend services at scale.
  • Lead architecture and platform direction beyond a single team.
  • Mentor engineers and drive cross-functional initiatives.
  • Experience building mission-critical distributed systems.

Responsibilities

  • Define multi-quarter and multi-year roadmaps for storage, caching, and identity infra.
  • Build and operate foundational backend infrastructure with reliability and performance focus.
  • Act as hands-on staff-level tech lead from concept to rollout.
  • Collaborate with infra and product teams on priorities and investments.
  • Improve developer experience and velocity at scale.
  • Drive service reliability, observability, and cost efficiency.
  • Mentor engineers and resolve complex technical conflicts.

Skills

Backend systems
Distributed systems
Technical leadership
Cross-functional leadership
System design
Observability
Incident response
AI in infra

Education

Bachelor’s degree in Computer Science or related
9+ years software development or related experience

Tools

Go
Java
Python
C++
Kubernetes

Job description

Snap Inc. is seeking a Staff Technical Lead to shape storage, caching, and identity infrastructure. You will drive multi-quarter initiatives, design distributed systems across AWS/GCP, and mentor engineers to improve reliability, performance, and developer experience at scale.

You’ll partner with infrastructure and product teams, influence architectural choices, and contribute to AI-enabled platform improvements for an AI-first world.

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