Software Engineer II, Backend

Pinterest is a platform where millions find creative ideas and plan for lasting memories. They are seeking a Backend Engineer to build robust frameworks and features, collaborate with cross-functional teams, and leverage AI to enhance productivity and innovation.

Responsibilities:

• 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
• Put on your Pinner hat to 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
• Grow as an engineer by working with world-class peers on varied and high impact projects
• 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
• Use AI to accelerate team execution, system design, and decision-making, applying sound judgment to validate outputs and ensure correctness and quality
• Use AI to synthesize information (summarize, distill themes) and automate repeatable tasks (documentation, reporting, QA checks)

Requirements:

• BS (or higher) degree in Computer Science, or a related field
• 2+ years of industry backend development experience, building consumer or business facing products
• Proficiency in common backend tech stacks for RESTful API, 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
• 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)
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables