Key Responsibilities:

• Make technical decisions with business awareness - evaluate options, assess risks, understand downstream impact, and choose the right path - not just the clever one
• Own systems end-to-end - from database schema to API design to UI, across multiple services
• Analyze impact before acting - understand how changes propagate through interconnected services, data pipelines, and scheduled jobs before committing to an approach
• Improve what exists - identify bottlenecks, reduce fragility, expand test coverage, and modernize legacy code pragmatically
• Design for reliability - build systems that handle failure gracefully, with proper observability, error handling, and recovery
• Set technical direction - establish patterns, review architecture, and raise the engineering bar for the team

Tech Stack:

• Backend: Node.js, Express, TypeScript
• Frontend: React, Vite, Tailwind CSS
• Databases: MongoDB, MySQL
• Caching: Redis
• Infrastructure: Docker, cloud deployment (DigitalOcean), Turborepo Monorepo
• Scheduling: Cron-based job orchestration
• Integrations: REST APIs, web scraping, proxy management

Technical Skills:

• Strong production experience with TypeScript/Node.js and Express
• Solid skills across MongoDB and MySQL - schema design, query optimization, migrations
• Experience building and maintaining React frontends
• Hands-on with Docker, cloud infrastructure, and CI/CD pipelines
• Experience with Monorepo architecture and multi-service systems
• Demonstrated ability to make technical decisions independently - weighing tradeoffs, assessing blast radius, and communicating rationale clearly
• Strong impact analysis skills - you think through second-order effects before making changes to production systems
• Experience with web scraping, proxy rotation, and third-party API integration at scale
• Familiarity with Redis caching and scheduled job orchestration

Nice to Have:

• Experience with AWS services (EC2, ECS, Lambda, RDS, S3, CloudWatch, or similar)
• Familiarity with Kubernetes - container orchestration, deployments, scaling, and cluster management
• Experience with observability platforms (Datadog or similar)
• Background in e-commerce, marketplace integrations, or dynamic pricing systems

AI Usage:

AI tools are a core part of how we work:

• Claude Code and Cursor are used daily for development - code generation, refactoring, debugging, and architectural reasoning
• We expect you to be proficient with AI-assisted development and use it to move faster without sacrificing quality
• Experience applying AI/ML to business problems (optimization, forecasting, anomaly detection) is a plus+