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

aKube Inc•Glendale, CA

3d•$86•Hybrid

About The Position

We are seeking a Senior Fullstack Product Engineer with expertise in React, Go, and GraphQL to join our team. This role involves designing, building, and enhancing a knowledge graph-based application for studio content and metadata. You will be responsible for developing both front-end features using React and back-end services using Go, as well as designing and implementing GraphQL APIs and platform integrations. This is a hybrid role requiring 4 days onsite per week in Glendale, CA, for a duration of 12 months.

Requirements

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.
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

Nice To Haves

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.

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.