Senior Backend Engineer, Scalable Systems

Snap Inc.; Palo Alto (CA); On-site; USD 229,000 - 343,000; Full time

Benefits offered by this job

RSU equity

Parental leave

Comprehensive medical coverage

Job summary

Snap Inc. is seeking a Staff Backend Engineer to design, implement, and operate scalable backend services across critical domains such as user identity, friend graph, and core persistence.

The role involves cross-team collaboration to translate product requirements into robust systems and to apply AI-driven workflows while maintaining security and production readiness. You will work with engineers to test, debug, and ship high-quality code, adopting best practices for availability, scalability,

Qualifications

• Bachelor's degree in CS or related field, or equivalent practical experience.
• 9+ years of post-bachelor software development experience, or equivalent with advanced degree.
• 1+ year of technical leadership or domain-expert responsibilities.
• Experience with distributed systems.

Responsibilities

• Design, implement, and operate scalable backend services.
• Collaborate across teams to translate product requirements.
• Test, debug, and maintain high-quality code.
• Promote availability, scalability, and cost efficiency best practices.
• Apply AI tools to accelerate development while ensuring security and correctness.

Skills

Backend systems

Distributed systems

Incident resolution

Collaboration

AI tooling

Education

Bachelor's degree or higher

Advanced degree beneficial

Tools

Java

C++

Python

Kubernetes

NoSQL/Redis

Job description

Snap Inc. is seeking a Staff Backend Engineer to design, implement, and operate scalable backend services across critical domains such as user identity, friend graph, and core persistence.

The role involves cross-team collaboration to translate product requirements into robust systems and to apply AI-driven workflows while maintaining security and production readiness. You will work with engineers to test, debug, and ship high-quality code, adopting best practices for availability, scalability,