Software Engineer II
About this role
Pinterest is seeking a Software Engineer II to enhance and maintain their large-scale MySQL infrastructure. The role involves collaborating on performance optimization, supporting critical systems, and utilizing AI to drive innovation while ensuring high reliability and scalability.
What you'll do
- Build and support efficient database systems.
- Design and maintain mission-critical MySQL features.
- Ensure continuous improvement in infrastructure performance.
- Provide on-call support for critical issues.
- Apply AI to enhance system design and execution.
- Foster skill growth in an inclusive environment.
What they're looking for
- Bachelor’s in computer science or equivalent experience.
- 2+ years in backend software engineering for MySQL systems.
- Experience with high-availability production systems.
- Strong programming skills in Python.
- Familiar with infrastructure provisioning tools.
- Ability to leverage AI for operational enhancements.
- Excellent communication skills.
- Proven software development reliability.
Benefits
- Opportunity to work in an innovative environment.
- Continuous learning and growth opportunities.
- Supportive collaborative team culture.
- Flexibility in work approach.
- Engagement in impactful projects.
- Comprehensive benefits package.
Opens the official application on the employer’s site. No login required.
Pinterest builds a large-scale platform serving millions of users, with infrastructure spanning security, database systems, and mobile products, supported by data systems and advertising technology. The company is hiring Software Engineers II and experienced engineers across security, infrastructure, iOS development, and data engineering to enhance platform capabilities, improve detection and response systems, optimize performance, and leverage AI-driven solutions.
- Website
- pinterest.com
Likely interview questions
- Tell us about your experience managing large-scale MySQL systems in production. What was the largest dataset you've worked with, and what challenges did you face?
- Describe a time when you had to diagnose and resolve a critical database performance issue. How did you approach the problem and what was the outcome?