SF | NY | REMOTE
Who we are
Pixelcut is one of the most popular design tools in the US. Over 30 million small businesses, creators and entrepreneurs use Pixelcut to create content for their business. We build world-class products at the intersection of AI and creativity, making tools like Background Removal and Magic Eraser accessible and easy-to-use for millions of people.
We’re a team of builders inspired to bring AI-powered creative tools to small businesses around the world. We believe AI will revolutionize all aspects of creativity inside of companies, and we want to make this future a reality today. If you’re excited to build this future, we’d love to talk with you.
A few other tidbits about us and our culture:
- We are fully remote which means you can work on your schedule.
- We are a diverse team and believe this helps us create the best products for everyone. We encourage applications from all candidates.
- We hire self-motivated experts which allows us to minimize meetings and syncs and lets you do what you do best, which is create and build!
The Role
- You’ll play a key role in ensuring that Pixelcut’s infrastructure is robust, scalable, and highly available to support millions of users.
- You will design, build, and maintain infrastructure and tools to ensure uptime, performance, and security, while helping the engineering team deliver features quickly and reliably.
- You’ll work closely with product and machine learning teams to deploy AI inference at scale (10M+ MAUs).
- You will optimize performance, troubleshoot and resolve production issues, and continually improve our monitoring and alerting systems.
- You’ll be responsible for the reliability of our infrastructure, implementing best practices, setting up failover systems, and automating processes to ensure a seamless user experience at scale.
Who you are
- You are an experienced Backend Engineer with a passion for site reliability and infrastructure.
- You have hands-on experience in cloud environments, preferably GCP, and are familiar with managing containerized applications (Docker, Kubernetes experience is a must).