Software Engineer II, Backend

What you’ll do:

• Build out the backend for Pinner-facing features to power the future of inspiration on Pinterest
• 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
• Partner with design, product, and backend teams to build end-to-end functionality
• Suggest new product ideas and features
• Employ automated testing to build features with a high degree of technical quality, taking responsibility for the components and features you develop
• Design, develop, and operate large scale, distributed systems and networks
• Work with Engineering customers to understand new requirements and address them in a scalable and efficient manner
• Actively work to improve the developer process and experience in all phases from coding to operation
• Leverage AI to seek faster execution (draft, prototype, outline), explore alternative options, synthesize information, and automate repeatable tasks (documentation, reporting, QA checks)

What we’re looking for:

• 2+ 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 (bonus: deploying and operating large scale workloads on a public cloud footprint)
• 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
• Strong track record of critical evaluation and verification of AI-assisted work (testing, source-checking, data validation, peer review)
• High integrity and ownership: protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
• Bachelor’s or Master’s degree in a relevant field such as Computer Science, or equivalent experience