Senior Fullstack Product Engineer (React, Go, GraphQL)

Job Description City: Glendale, CA Onsite/ Hybrid/ Remote: Hybrid (4 days onsite per week, no flexibility) Duration: 12 Months Rate Range: Upto $85.5/hr on W2 Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B 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.