Strong Middle/Senior Back-End Developer (Python)

Madgicx is transforming eCommerce advertising through AI-powered automation and intelligent optimization. As a Backend Engineer, you'll build and maintain core APIs and services powering their AI-driven advertising platform, handling millions of daily operations and serving as the foundation for their AI agent ecosystem.

• Build and maintain RESTful APIs serving web, mobile, and AI agent clients
• Design database schemas and optimize query performance for high-traffic endpoints
• Implement authentication, authorization, and rate limiting for secure API access
• Write comprehensive tests (unit, integration, E2E) ensuring code quality and reliability
• Integrate with advertising platform APIs (Meta Marketing API, Google Ads API, TikTok Ads)
• Build data ingestion pipelines processing campaign metrics, creative performance, and audience insights
• Handle webhook processing, event streaming, and asynchronous job processing
• Implement retry logic, circuit breakers, and graceful degradation for external service failures
• Build backend services supporting AI agent workflows and LLM integrations
• Design APIs enabling AI agents to query data, execute actions, and receive feedback
• Optimize API response times (P95 <500ms) and database query performance
• Implement caching strategies (Redis, CDN) for high-traffic endpoints
• Design for horizontal scalability using containerization and orchestration
• Monitor system health, troubleshoot production issues, and participate in on-call rotation
• Write clean, well-documented, maintainable Python code following team standards
• Conduct code reviews and participate in pair programming sessions

• Bachelor's degree in Computer Science, Software Engineering, or equivalent experience
• 5+ years of production backend development with demonstrable impact on system reliability and performance
• Strong proficiency in Python web frameworks (FastAPI, Flask, Django) and async programming
• Experience building RESTful APIs with proper versioning, error handling, and documentation (OpenAPI/Swagger)
• SQL expertise (PostgreSQL, MySQL) including schema design, indexing, and query optimization
• Hands-on experience with Google Cloud Platform (preferred) or AWS/Azure
• Practical experience using GenAI tools (GitHub Copilot, ChatGPT, Claude) for development
• Understanding of LLM capabilities/limitations and experience with agentic toolings (RAG, Guardrails, Feedback loops, planning, MCPs, orchestration tools)
• Production experience with Docker and Kubernetes for service deployment
• Experience with third-party API integration, OAuth flows, webhook processing, and rate limit handling
• Knowledge of message queuing systems (Pub/Sub, RabbitMQ, Kafka)
• Experience with Infrastructure as Code (Terraform or equivalent)
• Understanding of distributed tracing, structured logging, metrics collection, and alerting

Benefits & Perks:

• Competitive salary and equity
• Performance bonuses
• Comprehensive benefits package
• Learning budget for conferences, courses, and certifications
• Dedicated learning time
• Remote-first culture
• Flexible hours and work-life balance

What Success Looks Like (First 12 Months):

• Consistently deliver features from design to production within sprint cycles
• Maintain <0.1% API error rate and P95 response times under target SLAs
• Write code requiring minimal revisions and serving as examples for junior engineers
• Backend services seamlessly support AI agent integrations and ML model deployments
• Improve developer productivity through better tooling, documentation, or architectural patterns