What You’ll Do

• Design and build scalable, modular near-real-time decisioning systems using microservices, REST APIs, event-driven/streaming architectures, and hybrid relational/NoSQL storage.
  
• Develop backend services and data pipelines in Python and front-end experiences in React, deployed on Azure with Kubernetes.
  
• Build data workflows with Airflow, working across MongoDB and Snowflake.
  
• Own services end-to-end, drive system design decisions, and manage delivery timelines and risk on complex initiatives.
  
• Partner with data scientists to productionize models and support experimentation frameworks.
  
• Contribute to agentic and intelligent automation solutions, using AI-assisted tools like GitHub Copilot.
  
• Lead design discussions and code reviews, mentor other engineers, and champion strong testing and code quality practices.
  

Requirements

What You Bring

• 5+ years designing and delivering production-grade software.
  
• 5+ years of Python backend development and 5+ years with React or another modern front-end framework.
  
• Experience building cloud-native applications (Azure preferred) with Kubernetes.
  
• Hands-on experience with MongoDB (or similar), Snowflake (or equivalent), and Airflow or similar orchestration tools.
  
• Strong background in APIs, distributed systems, CI/CD, and modern DevOps practices.
  
• Experience with AI-assisted development tools and agentic/LLM frameworks such as LangChain or LangSmith.
  
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
  

Nice to Have

• Experience partnering with data science teams to put models into production.
  
• Background in statistical modeling, experimentation, or data-driven decision systems.
  
• Experience in pricing, logistics, or other high-scale transactional systems.
  
• Familiarity with monitoring tools such as DataDog, Prometheus, or Grafana.
  
• Proven ability to mentor engineers and influence technical and product decisions.