# Software Engineer II, Backend

**Company:** [Pinterest](https://hotfix.jobs/companies/pinterest)
**Location:** Remote
**Role:** Backend Engineering
**Salary:** $119k – $245k/yr
**Experience:** 2+ years
**Skills:** REST APIs, Storage, Caching, Data Processing, Automated Testing, A/B Testing, AI Tools
**Posted:** 2026-04-22

> Build scalable backend systems for Pinterest's user-facing features, collaborating with product and design teams on full development lifecycle including prototyping, testing, and AI-assisted workflows. Requires 2+ years backend experience with RESTful APIs, storage, caching, and strong AI utilization practices.

## Job Description

## 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
- 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
- Leverage AI to seek faster execution (i.e. draft, prototype, outline) and explore alternative options (i.e. iterate, compare approaches)
- Leverage AI to synthesize information (summarize, distill themes) 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**, storage, caching and data processing
- 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)
- High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables

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