Senior Full-Stack Engineer

Industry: Artificial Intelligence
Company size: 11-50

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Job description

A well-funded, Silicon Valley-based company attracting strong talent across several fields, including Big-data psychometrics, engineering, data science, etc., is looking for a Senior Full-Stack Engineer. The engineer will play a central role in developing, integrating, and delivering the client-facing platform for onboarding data, displaying visualizations, and converting to real-world impact. The company’s data-enrichment and analytics platform can predict individual risk and engagement behaviors while servicing the trillion-dollar worth of the insurance industry. This role represents a unique opportunity for selected candidates to make their mark on the platform and company while rubbing shoulders with industry veterans. It requires at least 6+ hours of overlap with the Pacific Time zone.


Job Responsibilities:

  • Develop the client-facing, web-based data analysis, and activation platform
  • Work in collaboration with the product and data science teams to integrate data visualizations (JS charting libraries & custom JS)
  • Build and enhance user experience, as well as enabling users to drive insights and actions
  • Deploy, maintain, and monitor cloud-based servers and infrastructure in AWS (microservices deployed as containers in Docker/Kubernetes)
  • Perform automation on the platform

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • Great zeal to work in a tight-knit team and fast-paced startup
  • 4+ years experience developing consumer-facing web applications with fast, consistent release cycles
  • Profound skills with modern web frameworks such as React, Angular, Vue, etc. 
  • Solid understanding of web security best practices
  • Excellent front-end development and integration experience with HTML/CSS
  • Experience with designing and exposing backend APIs
  • Proficiency with both SQL and NoSQL data stores
  • Track record of building and developing cloud-based applications or services, preferably in AWS, is desired 
  • Comfortable working with development environment in Linux/Unix 
  • Exceptional abilities in anchoring and automating large-scale data processing jobs (Panda, Spark, Airflow)
  • Experience interfacing with Data Science teams to incorporate efficient data cleaning & ML algorithm processing
  • Must be fluent in the English language

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