Staff Solutions Engineer, Level 6

Snap Snap · Consumer · Los Angeles, CA +6

Staff Solutions Engineer at Snap, focusing on building and improving products, designing end-to-end systems, and collaborating with cross-functional teams. The role involves writing scalable code, identifying insights from product usage metrics, and developing strategic plans with partners. It explicitly mentions utilizing AI tools and high-velocity engineering workflows, and requires adaptability in learning evolving AI systems.

What you'd actually do

  1. Build new products and improve existing ones
  2. Collaborate with Snap product engineering teams and cross functional partners to meet business needs
  3. Understand and apply deep knowledge of products, technologies, and business to build solutions to solve for problems at scale
  4. Design and build end-to-end systems and launch-plan strategies
  5. Use broad range of technical and soft skills to build productive relationships with partners and independently resolve complex technical and business needs while contributing to partner documentation

Skills

Required

  • BS in a technical field such as computer science or equivalent years of experience
  • 9+ years of post-Bachelor’s software development or solutions engineer experience; or a Master’s degree in a technical field + 8+ year of post-grad software development or solutions engineer experience; or a PhD in a related technical field + 5+ years of post-grad software development or solutions engineer experience
  • Experience coding and building applications and APIs/SDKs for internal and external developers.

Nice to have

  • Advanced degree in computer science or computer engineering
  • Highly proficient in JavaScript (and/or TypeScript), HTML, and CSS
  • Highly proficient in Java, Golang, NodeJs, and/or Python
  • Experience developing front-end software using Javascript UI Frameworks (i.e React, Angular, Vue)
  • Experience working with cross functional stakeholders to define business requirements and product roadmaps
  • Experience working with large SaaS, PaaS and cloud platforms and building applications for third-party marketplaces

What the JD emphasized

  • 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
  • Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of engineering trends and modern development practices