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Full Stack Engineer
2 months ago
What’s ByteBrew:
ByteBrew is the all-in-one mobile game analytics platform that gives game developers everything their games need to grow for free
What you’ll be doing:
As a Full Stack Engineer at ByteBrew, you’ll be a vital part of the core engineering team that builds dynamic, easy-to-use and performant dashboard experiences for thousands of game developers using ByteBrew everyday. The innovative work you do as a team member on ByteBrew, will be utilized by thousands of games that reach billions of users across the globe.
You’ll work directly with the engineering team to:
- Build easy-to-use SaaS dashboard experiences
- Design, build, and optimize the analytical queries using complex data science methods
- Build impactful visual insights using different table, chart and graphing libraries
- Be creative and collaborate with other team members to create streamlined and performant analytical queries
- Continuously improve and build upon the current architecture of our dashboard to optimize user workflows
- Utilize languages and frameworks such as: React, Vue, Javascript, HTML, CSS, and SQL
- Communicate and support the ByteBrew developer community with technical support towards the product
We’re looking for someone with:
- 3+ years experience in the following languages: Javascript, SQL.
- 2+ years in software development building web apps or dashboards using React and/or Vue.
- 1+ years experience building applications with HTML and CSS.
- Deployed microservices with Cloud Providers like GCP, AWS, Azure; using containers for Kubernetes or other app services.
- Worked with RESTful web services and handled user session states across webapps/backends.
- Used one or more of the following NoSQL databases: Google Datastore, MongoDB.
- Used one or more of the following Data Warehouses: Hadoop, Redshift, BigQuery.
- Built custom authentication and session stores, or have utilized Auth0, Okta, or Firebase Auth.
Bonus:
- Developed or worked on games, game development, mobile apps or game engines
- Knowledge in ML or predictive analytics
- Used automated test frameworks (e.g. Jest, Mocha, Jasmine)