Software Engineer I

Pinterest Pinterest · Consumer · Toronto, ON · Oversight Engineering

Backend engineer role at Pinterest focusing on building Pinner-facing features for monetization. The role involves contributing to the full product development lifecycle, designing and operating large-scale distributed systems, and leveraging AI tools to enhance execution speed, information synthesis, and quality verification. Requires 1+ years of backend development experience and proficiency in common backend tech stacks.

What you'd actually do

  1. Build out the backend for Pinner-facing features to power the future of inspiration on Pinterest
  2. Contribute to and lead each step of the product development process, from ideation to implementation to release; from rapidly prototyping, running A/B tests, to architecting and building solutions that can scale to support millions of users
  3. Partner with design, product, and backend teams to build end-to-end functionality
  4. Design, develop, and operate large scale, distributed systems and networks
  5. Leverage AI to seek faster execution (i.e. draft, prototype, outline) and explore alternative options (i.e. iterate, compare approaches)

Skills

Required

  • 1+ years of industry backend development experience, building consumer or business facing products
  • Proficiency in common backend tech stacks for RESTful API, online service, storage, caching and data processing
  • Experience building & operating large scale distributed systems and/or networks.
  • Experience in Python, Java, C++, or Go or another language and a willingness to learn
  • Experience in following best practices in writing reliable and maintainable code that may be used by many other engineers
  • Ability to keep up-to-date with new technologies to understand what should be incorporated
  • Strong collaboration and communication skills
  • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.
  • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).
  • Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience

Nice to have

  • Experience building & operating large scale workloads on a public cloud footprint

What the JD emphasized

  • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.
  • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).