Lead Senior Database & Backend Engineer

Huck Adventures brings people outside to explore the world together. The outdoor app makes it easy for people to connect with one another and get the educational and safety resources they need for great adventures. Tailored to outdoor recreation, the app includes availability and skillset matching, communication, event, education, and safety tools all in one place. Huck Adventures partners with like-minded organizations and donates 10 percent of its profits to environmental and outdoor recreation nonprofits, so everyone can enjoy the adventure and beauty of the great outdoors.

We expect a lot. Our culture is unique and we live by our values, so it's worth learning more about Huck Culture online.

We are a tight and driven team with big goals, so we seek individuals who are truly passionate about their work.

We are a start-up aiming to be a big company and have co-founder opportunities available.

As the Senior Database & Backend Engineer, you will be responsible for building our architecture and API management platform to run our Flutter app on Firebase using Angoliga, cloud functions, and other Google Cloud Services. You will solve business, operations, and security challenges that arise in these developer ecosystems by proxying API traffic between provider and consumer.

Huck is looking for a lead backend engineer to architect, build, scale, and deploy our API, database, and ETL workflows. This position offers the rare opportunity to build out our system from the beginning. The problems we are trying to solve include:

• Multi-attribute locality-based recommendations
• Architecting real-time and precomputed aggregate data
• Scalable API (both performance-wise and manageability for our front-end team)

Responsibilities:

• Design Backend Architecture, API, and database for the Huck App.
• Deliver multi-cloud, loosely-coupled, distributed, and highly available platform.
• Be the subject matter expert for the distributed data platform in a multi-cloud environment and private cloud (on-prem).
• Be responsible for the design, deploy, and operations of the distributed data

Experience with RDBMS and No

SQL (Firebase Firestore, Cloud Firestore, and Postgre

SQL/MySQL).

Experience with Google Cloud functions or Firebase Cloud functions handling at least 2,000,000 users and scaling

Experience with application deployment

Experience writing in Type Script or comparable language

Experience with distributed data systems.

Experience creating the architecture for database deployments on Cloud platforms like Google Cloud Platform (GCP).

Experience in AI & Machine Learning technologies

All your information will be kept confidential according to EEO guidelines.

Not specified