CareerPlanGet AI match score →
💼 Full-time🗓 2026-06-25

Core

Designing and building scalable microservices and internal/external tools for vehicle data processing and machine learning pipelines.

Role type

Senior backend/full-stack engineer (microservices & ML tooling)

Builds

Microservices, developer tooling, and external services for vehicle data analytics

Domain

Automotive data, machine learning infrastructure, time-series analytics

Deliverable

production ML models | product features | infrastructure

Required skills

Python, Scala, Go, API design, event-driven architecture, Docker

Preferred skills

Kubernetes

Responsibilities

Design and develop new microservices, build internal tools and external services, improve developer experience, create automated processes and abstractions

Seniority

Mid-level to Senior, hands-on IC

Rewrite
## About the role You are a thoughtful engineer. Clarity is better than cleverness - simplicity is top of mind when writing code or designing new services. You pay attention to the long term implications of your design decisions and how they may affect future users of the application. You create tooling and automated processes to prevent yourself and others from making the same mistake twice. You notice recurring patterns in code and know when and how to create abstractions. ## Day 5 - Learn about Viaduct's history and mission - Get to know every team member - Set up your development environment - Understand Viaduct's system architecture - Deep dive into the nuances of vehicle data - Attend our weekly ML lunch ## Day 30 - Understand existing microservices and tooling - Find opportunities for better developer and machine learning tooling - Design and start developing new microservices - Be familiar with the day-to-day work of machine learning engineers and data scientists ## Day 90 - Be an expert in Viaduct's microservices - Improve the microservice development experience - Build internal tools and external services - Present your work at our weekly ML lunch ## Expected Skills - 2+ years working as a backend or full-stack engineering on a large production system - Expertise in Python, Scala, or Go - Experience developing and versioning APIs - Know how to build event-driven applications - Experience with Docker ## Exceptional Skills - Experience with Kubernetes ## Why Viaduct - Contribute to the open-source ecosystem - Work with established experts in deep learning, time-series analytics, and convex optimization - Endless opportunities for technical learning and personal growth - Help build a business from the ground up - Full health, vision, and dental benefits
Sourced via wellfound · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
Apply on Wellfound ↗