Senior Fullstack Product Engineer (React, Go, GraphQL) - 1631

Must Have

• React
  
• Go (Golang)
  
• GraphQL
  
• Full Stack Product Engineering
  
• API Development
  
• Product Lifecycle (Prototype through Production)
  
• AI -assisted Development (Cursor, Claude, GitHub Copilot or similar)
  
• Cross -team Platform Integration
  
• Distributed Systems
  
• Automated Testing
  
• Graph Database experience (Neo4j, Neptune, Stardog or similar)
  
• AWS, Azure, or GCP
  

Responsibilities

• Design, build, and enhance a knowledge graph -based application supporting studio content and metadata.
  
• Develop front -end features using React and back -end services using Go.
  
• Design and implement GraphQL APIs and platform integrations.
  
• Partner with Product Managers to translate business requirements into scalable technical solutions.
  
• Collaborate with architecture, platform, data, and engineering teams across multiple products.
  
• Build production -ready software from prototype through deployment and operational support.
  
• Design and maintain APIs, integrations, and data connectivity across distributed systems.
  
• Conduct code reviews, implement automated testing, and maintain technical documentation.
  
• Troubleshoot production issues and improve system reliability and performance.
  
• Leverage AI -assisted development tools responsibly to improve engineering productivity while maintaining code quality.
  

Qualifications

• 5+ years of software engineering experience building production applications.
  
• Strong experience with React and modern front -end development.
  
• Strong backend development experience using Go.
  
• Experience designing GraphQL APIs.
  
• Experience delivering products from concept through production deployment.
  
• Experience working across the complete software development lifecycle.
  
• Experience integrating applications across multiple engineering teams.
  
• Strong understanding of API design and distributed systems.
  
• Experience with cloud platforms such as AWS, Azure, or GCP.
  
• Excellent debugging and troubleshooting skills.
  

Nice to Have

• Neo4j, Neptune, Stardog, or other graph database experience.
  
• Cypher, SPARQL, SQL, SurQL, or vector database query languages.
  
• Python or Node.js.
  
• ETL pipeline development.
  
• AI/ML or Generative AI application development.
  
• Media and entertainment industry experience.
  
• Consumer -facing product development.