Mintlify
Backend Engineer
About this role
Mintlify seeks a backend engineer to build core systems powering a documentation platform serving 100M+ developers. You'll design APIs, content pipelines, and AI infrastructure while collaborating across the product and working on technically ambitious problems at a growing, well-funded startup.
What you'll do
- Design and ship backend APIs and services for editor, dashboard, and customer documentation sites
- Improve content ingestion, validation, transformation, and publishing pipelines serving thousands of repositories
- Build search, retrieval, and agent infrastructure for AI-powered products
- Enhance caching, queues, databases, and observability as the platform scales
- Contribute to product strategy and engineering direction across the stack
- Engage directly with customers to inform product and technical decisions
What they're looking for
- Systems design and API architecture
- Database design and optimization
- Production systems and infrastructure
- Content pipeline and ETL processing
- AI/ML retrieval and search systems
- Performance optimization and caching
- Product intuition and user-focused thinking
- Adaptability to work across the full stack
Benefits
- Competitive compensation and equity
- 20 days paid time off annually
- High ownership and agency in shaping product direction
- Collaborative team focused on craft and thoughtful execution
- Opportunity to work on technically ambitious backend problems
- Direct influence on strategic decisions and immediate impact visibility
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Mintlify
Mintlify builds a documentation platform serving millions of developers globally. The company is hiring Support Engineers to resolve issues at the source through code fixes and automation, product engineers to build full-stack user-facing features, and Solutions Engineers to manage customer migrations and support strategic accounts.
- Website
- mintlify.com
Likely interview questions
- Walk us through a complex backend system you've designed—what were the key architectural decisions and trade-offs?
- Describe a time you had to optimize a critical system for performance or reliability. What metrics did you target and how did you measure success?