Role Location
- Silicon Valley, CA, United States
Compensation
Employees
Address
Tech Stack
- JavaScript
- Java
- Python
- Node.js
- Kubernetes
- AWS
- Google Cloud Platform
- ML
Role Description
This role will define architecture, access patterns, batch processing and API access to the data access layer. These are core components of the Loops platform. The day-to-day job involves design, collaboratation with other teams,and the CTO, and development of data storage and processing jobs.
• Collaborate with other architects and the CTO to define a data strategy for the loops platform
• Design and develop API centric micro services to access data
• Batch processing of data retrieval, storage and processing
Requirements
• Familiarity with AWS and GCP data architectures and products
• Highly skilled in spark processing engine
• Understanding on micro service architecture
• Working knowledge of Kubernetes
• Ability to hire and grow a team of engineers
About The Loops
We are a seed stage startup bringing product context to support reps to eliminate escalations and drive efficiency. We’re technology leaders with decades of experience solving the most pressing problems facing enterprises.
Loops embraces a hardworking, passionate, and inquisitive culture where asking questions and learning fosters growth to build great things. Open communication, empathy and mutual respect are key to our team and the customers we serve. We work tirelessly to provide a top-notch solution while iterating to keep our product relevant and best-in-class.
Company Culture
Loops embraces a hardworking, passionate, and inquisitive culture where asking questions and learning fosters growth to build great things. Open communication, empathy and mutual respect are key to our team and the customers we serve. We work tirelessly to provide a top-notch solution while iterating to keep our product relevant and best-in-class.
Address
Tech Stack
- JavaScript
- Java
- Python
- Node.js
- Kubernetes
- AWS
- Google Cloud Platform
- ML
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