Snap
Staff Software Engineer, Backend, Level 6
$195K–$343K
Los Angeles, California +4 · Staff · Full-time · Posted Oct 27, 2026
- Location
- Los Angeles, California
San Francisco, California
Palo Alto, California
New York, New York
Bellevue, Washington - Experience
- 9+ years post-Bachelor’s; or Master’s plus 8+ years post-graduate; or PhD plus 5+ years post-graduate software development experience. Also 1+ years of technical leadership or domain-expert experience.
- Education
- Bachelor’s degree in a relevant technical field, such as computer science, or equivalent years of practical work experience; alternatives include a Master’s or PhD as specified.
About the job
Designs, builds, and operates Snap’s critical, scalable backend services, including identity, friend graph, and persistence systems.
What you'll do
- Design, implement, and operate critical scalable services; test and debug work for quality.
- Collaborate across teams to understand requirements, assess trade-offs, and deliver product solutions.
- Promote availability, scalability, operational excellence, cost management, and secure production-quality development using AI tools and high-velocity workflows.
What they ask for
- Experience operating highly available systems at significant scale and with distributed systems.
- At least 1 year of technical leadership or serving as a domain expert.
- Bachelor’s degree in a relevant technical field or equivalent years of practical work experience.
- One of: 9+ years post-Bachelor’s software development experience; Master’s plus 8+ years post-graduate experience; or PhD plus 5+ years post-graduate experience.
Nice to have
- Experience with Java, C++, and/or Python.
- Experience with NoSQL solutions, Memcache/Redis, Kubernetes, or Google/AWS services.
Pay
$229,000-$343,000 annually (base salary); $218,000-$326,000 annually (base salary); $195,000-$292,000 annually (base salary)
Tools
Java, C++, Python, NoSQL, Memcache/Redis, Kubernetes, Google/AWS services
AI focus
Uses AI tools to streamline development and ship scalable services; critically audits generated output for architectural integrity, performance, and security, and adapts to evolving AI tools.
Model-written summary · the original posting is authoritative