Staff Backend Engineer — Scalable Microservices & AI Tools

SNAP, Inc.

Los Angeles (CA)

On-site

USD 229,000 - 343,000

Full time

3 days ago
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Benefits offered by this job

RSUs
Health insurance
Parental leave
Mental health support

Job summary

Snap Inc. is seeking a Staff Backend Engineer to design, build, and operate highly scalable services that power Snapchat and related products.

You will collaborate across teams to understand requirements, evaluate trade-offs, and deliver robust backend solutions at scale. You will champion best practices for availability, security, and operational excellence, while leveraging AI tools to accelerate development and maintain high-quality, production-ready code.

Qualifications

  • Bachelor's degree in a technical field such as computer science or equivalent work experience.
  • 9+ years of post-Bachelor software development experience; or a Master’s + 8+ years; or a PhD + 5+ years.
  • 1+ years of experience with technical leadership or domain-expertise roles.
  • Experience with distributed systems.

Responsibilities

  • Design, implement, and operate our most critical and scalable services (identity, friend graph, core persistence).
  • Collaborate across teams to translate product requirements into scalable solutions.
  • Test, debug, and uphold high quality in code and architecture.
  • Advocate for availability, scalability, and cost-effective operations.
  • Leverage AI tools to accelerate development while ensuring architecture integrity and security.

Skills

Backend services
Distributed systems
High availability
Medium features
Cloud computing
Security
Networking
ML/NLP tools
AI-assisted development

Education

Bachelor's in CS

Tools

Java
C++
Python
NoSQL
Memcached/Redis
Kubernetes
GCP/AWS

Job description

Snap Inc. is seeking a Staff Backend Engineer to design, build, and operate highly scalable services that power Snapchat and related products.

You will collaborate across teams to understand requirements, evaluate trade-offs, and deliver robust backend solutions at scale. You will champion best practices for availability, security, and operational excellence, while leveraging AI tools to accelerate development and maintain high-quality, production-ready code.

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