About The Position

As the Senior Software Engineer for Scout Motors’ digital products on the Aftersales team, you will play a key role in the development and enhancement of our AI-powered operational intelligence systems, from concept to deployment. You will work closely with cross-functional teams to design, develop, and implement scalable and robust solutions that power intelligent scheduling, diagnostics, and service optimization capabilities across our digital ecosystem. Some of the key products as part of the digital portfolio include intelligent service scheduling, predictive diagnostics, vehicle health monitoring, and AI-driven service recommendations. At the same time, you’ll have plenty of opportunities to be hands-on building key systems that bring machine learning models into production at scale and will be directly responsible for the successful delivery of complex and large-scale technical efforts, as well as acting as a technical mentor and leader for other engineers.

Requirements

  • A bachelor's degree in computer science or a related technical field
  • 5+ years in software development with the ability to lead multiple projects, focusing on back-end technologies
  • Strong written and verbal communication skills, with the ability to clearly articulate technical concepts to non-technical stakeholders
  • Ability to work effectively in a fast-paced, collaborative environment, both independently and as part of a team
  • Experience integrating with or building around ML/AI systems like TensorFlow
  • Proficiency in Python and Go, with experience in Node.js
  • Experience with relational and/or non-relational databases like PostgreSQL, Redis, MySQL, and/or MongoDB
  • Experience with data pipeline/streaming tools
  • Understanding of operational intelligence use cases (predictive analytics, anomaly detection, optimization algorithms)
  • Strong understanding of software architecture, design patterns, and best practices
  • Excellent problem-solving and troubleshooting skills, with a passion for finding elegant solutions to complex challenges
  • Valid driver's license required

Nice To Haves

  • Experience in automotive, manufacturing, or field-service industries specifically around scheduling or diagnostics
  • Experience with AI/ML-powered decision systems in production environments

Responsibilities

  • Work with engineers & technical leaders across the company to ship interoperable products and systems on strong foundations that manage customer interactions inside and outside of the vehicle
  • Design and build backend services that integrate ML models into production systems
  • Collaborate with product managers, designers, and other stakeholders to understand requirements and translate them into technical specifications and deliverables
  • Partner with Product and business stakeholders to productionize models for scheduling optimization, diagnostics, and service recommendations to support real-time and batch AI inference at scale
  • Ensure observability/monitoring for model performance, data drift, and system reliability in the AI systems
  • Implement best practices and standards for software development, including code reviews, testing, and documentation
  • Mentor and coach junior team members, providing guidance and support to help them grow and succeed
  • Stay current with emerging technologies and industry trends, continuously learning and experimenting with new tools and techniques to improve our software development process
  • Be responsible for the services that are owned by your team, ensuring 24/7 on-call coverage

Benefits

  • Competitive insurance including: Medical, dental, vision and income protection plans
  • 401(k) program with: An employer match and immediate vesting
  • Generous Paid Time Off including: 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave
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