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Viaduct

AI-powered predictive maintenance from vehicle data

Full Stack Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeSloveniaNo salary listedIn-person

About the Job

Requirements

  • At least 3 years of experience working in a full stack role.
  • Experience as a tech lead or mentor.
  • At least 2 years of experience working with Go, typed JavaScript (TypeScript or Flow), and React.
  • Experience writing, building, and deploying Docker images.
  • Experience working with analytics and monitoring tools such as Sentry, Datadog, Mixpanel, or New Relic.
  • Professional experience with Kubernetes.
  • Experience building production web applications and/or mobile applications.
  • A good eye for detail and experience working closely with designers.
  • Follow security and privacy policies and procedures, and the guidelines in the Employee Handbook.
  • Participate in new-hire and annual security and privacy training.
  • Treat data security and privacy as a primary job responsibility.
  • Report discovered security incidents as bugs.
  • Obtain Security Team approval before adding third-party software to the codebase.
  • Explicitly consider security implications during pull request reviews.

Responsibilities

  • Create software design and architecture proposals.
  • Plan, coordinate, and estimate the work and time required to deliver new features.
  • Develop, deploy, and monitor internal and customer-facing microservices from code through Kubernetes.
  • Implement modern analytics and monitoring tools.
  • Configure continuous integration to support correct and rapid iteration on code.
  • Build and maintain the web application, from component design through release.
  • Develop and ship features for the mobile application.
  • Work with design and product teams to turn mockups and user feedback into working, accessible interfaces.

Desired Qualifications

  • Contribute to open-source projects.
  • Have experience in the automotive industry or a strong interest in cars.
  • Have prior experience working in small, agile teams.

About the Company

Viaduct

AI-powered predictive maintenance from vehicle data

Viaduct analyzes connected vehicle data through a cloud platform powered by its patented TSI Engine. It uses AI to automatically process large data volumes to identify patterns and predict issues with vehicle components. Its applications include predictive maintenance, driver identification, and driver safety scoring for automotive manufacturers and other automotive ecosystem players. Practically, the TSI Engine ingests telematics and vehicle data, runs machine learning models in the cloud, and outputs insights and risk assessments that help schedule maintenance and improve safety. Viaduct differentiates itself with a patented engine and a cloud-based data analytics platform focused on connected vehicles, combining predictive maintenance with driver-related analytics. The company’s goal is to improve vehicle reliability and safety by turning data into actionable insights through machine learning and data analytics.

Company size
51-200
Company stage
Acquired
Total funding
$21M
Headquarters
Menlo Park, CA
Founded
2019

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