Senior Backend Engineer - Scalable Microservices + AI Tools

Snap

New York (NY)

On-site

USD 209,000 - 313,000

Full time

3 days ago
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Benefits offered by this job

Parental leave
Medical coverage
Mental health support
RSU equity

Job summary

Snap Inc. is seeking a Backend Engineer to design, implement, and operate scalable services such as user identity, friend graph, and persistence layers.

You will collaborate across teams to translate product needs into robust systems and ensure code quality and security. The ideal candidate has 6+ years in software development, expertise in distributed systems and languages like Java/C++/Python, and familiarity with cloud services and Kubernetes.

Qualifications

  • Bachelor's degree in computer science or equivalent years of practical work experience
  • 6+ years of post-bachelor software development experience (or 5+ with Master’s, or 2+ with PhD)
  • Experience with distributed systems

Responsibilities

  • Design, implement, and operate our most critical and scalable services – user identity, friend graph, core persistence
  • Collaborate across teams to understand requirements and deliver solutions
  • Test, debug, and ensure high-quality code
  • Champion practices for availability, scalability, and cost management
  • Leverage AI tools to design and ship scalable services with security in mind

Skills

Distributed systems
Java
C++
Python
Cloud computing
Kubernetes
AI & ML tooling

Education

Bachelor's Degree in Computer Science
Master's degree in a technical field
PhD in a relevant technical field

Tools

Memcache/Redis
Google/AWS services

Job description

Snap Inc. is seeking a Backend Engineer to design, implement, and operate scalable services such as user identity, friend graph, and persistence layers.

You will collaborate across teams to translate product needs into robust systems and ensure code quality and security. The ideal candidate has 6+ years in software development, expertise in distributed systems and languages like Java/C++/Python, and familiarity with cloud services and Kubernetes.

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