Snap
Security Engineer, Level 4
$133K–$235K
Los Angeles, California +2 · Full-time · Posted Sep 25, 2026
- Location
- Los Angeles, California
Palo Alto, California
Bellevue, Washington - Experience
- 2+ years of post-Bachelor’s security-related experience; or a technical Master’s degree plus 1+ year of post-graduate security-related experience; or a PhD in a relevant technical field.
- Education
- Bachelor’s Degree in Computer Science, Engineering, or a related technical field, or equivalent practical work experience.
About the job
Designs and operates security controls, tools, and processes to protect Snap’s infrastructure, applications, identity systems, cloud environments, and data.
What you'll do
- Design and scale security controls; conduct security assessments, threat modeling, and code reviews.
- Build automation and tooling for security compliance, observability, and governance, and partner with teams to reduce risk.
- Investigate security incidents, perform root cause analysis, and recommend remediation.
What they ask for
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical work experience.
- Expertise in at least one of: infrastructure security, enterprise security, access management, application security, detection and response, or spam and abuse.
- Security-related experience: 2+ years post-Bachelor’s; or 1+ year post-graduate with a technical Master’s; or a PhD in a relevant technical field.
- Experience with security tooling such as vulnerability scanners, SIEM, EDR, cloud security frameworks, and automation platforms; proficiency in one or more programming languages.
Nice to have
- Experience securing complex distributed systems and/or enterprise-scale infrastructure.
- Strong programming and software design skills, including debugging, performance analysis, and test design.
Pay
$157,000-$235,000 annually (base salary); $149,000-$223,000 annually (base salary); $133,000-$200,000 annually (base salary)
Tools
Python, Go, Java, SIEM, EDR
AI focus
Uses AI tools to streamline development and design and ship scalable services; evaluates generated output for architectural integrity, performance, and security risks.
Model-written summary · the original posting is authoritative