Senior Fullstack Product Engineer (React, Go, GraphQL) - 1631
Summary
Builds a knowledge-graph application using React, Go, and GraphQL, integrating distributed systems and AI-assisted tools for media content and metadata.
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.