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

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: 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 Google Cloud Platform

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 Google Cloud Platform.
• 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.