Software Engineer, Backend, Level 4

Snap Snap · Consumer · Los Angeles, CA +1

Software Engineer, Backend, Level 4 at Snap Inc. This role focuses on designing, implementing, and operating critical and scalable backend services, including user identity and friend graph services. The engineer will work across teams to deliver innovative products, advocate for best practices in availability and scalability, and utilize AI tools to streamline development while ensuring code correctness, security, and quality. Experience with distributed systems, operating highly-available systems at scale, and proficiency with AI development tools are required.

What you'd actually do

  1. Design, implement, and operate our most critical and scalable services - ranging from user identity services, friend graph, and our core persistence layer
  2. Work across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to build innovative products
  3. You evaluate, appropriately test, and debug your work, striving for high quality
  4. Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management
  5. Utilize AI tools and high velocity engineering workflows to design and ship scalable services while upholding rigorous standards for code correctness, security, and production ready quality code

Skills

Required

  • Experience with backend services or distributed systems
  • Proven track record of operating highly-available systems at significant scale
  • Ability to collaborate and work well with others
  • Experience in at least one of the following areas: Large-scale microservices and distributed systems, Cloud computing and storage systems, Infrastructure and large-scale system design, Security, Networking and data storage, Machine learning and natural language processing tools
  • Proficiency in, or a strong aptitude for, leveraging AI tools to streamline development, paired with the critical judgment to audit generated output for architectural integrity, performance bottlenecks, and security risks.
  • Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of engineering trends and modern development practices
  • Experience working with distributed systems

Nice to have

  • Java
  • C++
  • Python
  • Experience with NoSQL solutions
  • Memcache/Redis
  • Kubernetes
  • Google/AWS services

What the JD emphasized

  • critical and scalable services
  • highly-available systems at significant scale
  • operational aspects of your system
  • AI tools