Back-end Engineer

Posted 17 Hours Ago
Be an Early Applicant
Ljubljana
Mid level
Machine Learning • Software
The Role
As a Back-end Engineer at Viaduct, you will design and implement backend services, contribute to the product feature development, and own a portion of the platform. Responsibilities also include understanding system architecture and integrating with the engineering team.
Summary Generated by Built In

About Us

Viaduct leverages decades of industry experience, world-class machine learning, and a platform designed specifically for automotive data to deliver a comprehensive suite of AI-powered applications for vehicles on the road today. Our goal is to help Manufacturers and Suppliers to become leaders in the new automotive world.


Who You Are

You are a thoughtful engineer. You pay attention to the long term implications of your design decisions and how they may affect future users of the application. Clarity is better than cleverness - simplicity is top of mind when writing code or designing new services. You know when to make the trade-off between getting work done and doing it perfectly.


What We Are Looking For

We are looking for back-end engineers with well-rounded skills and experience, specifically in building and maintaining robust systems. The ideal candidate will have the following qualifications:


Expected Skills

  • Experience owning a project from design to implementation
  • 3+ years working as back-end engineer
  • Proficient in Python and Go
  • Strong SQL skills with comfort in data querying and exploration


Security and Privacy Responsibilities

  • Follow our policy and procedure documents related to security and privacy
  • Follow the guidelines in the Employee Handbook
  • Follow the OWASP Top 10 guidelines when implementing and reviewing code
  • Participate in new hire and annual training for security and privacy
  • Treat data security and privacy as one of your primary job responsibilities
  • Report Security Incidents you discover as bugs
  • Get approval from the Security Team before adding new 3rd party software to our codebase
  • Explicitly consider security implications when doing PR reviews


Expertise in one or more of:

  • Building and managing large-scale batch or real-time data pipelines (Data)
  • Developing, monitoring, and iterating on production machine learning models (Machine Learning)
  • Deploying and maintaining cloud infrastructure (Infra/DevOps)
  • Designing and implementing backend services (Backend)


About the Role

Day 5

  • Learn about Viaduct’s history and mission
  • Get to know every team member
  • Understand Viaduct’s system architecture
  • Deep dive into the nuances of vehicle data
  • Attend our weekly company-wide meeting and engineering tech talk

Day 30

  • Understand the product roadmap and customer pain points
  • Contribute new back-end features to the product
  • Participate in an engineering hack day by refactoring code, improving test coverage, or automating a manual process
  • Integrate into the daily workflow of the engineering team

Day 90

  • Own a piece of the Viaduct platform 
  • Improve the onboarding process for future hires
  • Present about yourself the company-wide meeting and showcase your work at the engineering tech talk
  • Become involved in the recruiting process and help find more amazing people like yourself!

Top Skills

Go
Python
The Company
HQ: Menlo Park, CA
31 Employees
On-site Workplace

What We Do

www.viaduct.ai

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