Scout Motors
DevOps Engineer
About this role
Scout Motors is seeking a DevOps Engineer to build and maintain cloud infrastructure for an electric vehicle company. You'll work with modern DevOps practices including Kubernetes, CI/CD pipelines, infrastructure-as-code, and monitoring solutions while collaborating across engineering teams in a fast-paced startup environment.
What you'll do
- Maintain and improve cloud infrastructure using Infrastructure as Code practices
- Support CI/CD pipeline development and deployment automation
- Build and operate container orchestration systems like EKS and Kubernetes
- Write automation scripts to reduce operational toil and improve system reliability
- Implement monitoring, alerting, and logging solutions for troubleshooting
- Collaborate with development teams and participate in on-call incident response
What they're looking for
- Kubernetes or container orchestration (EKS/K8s)
- Infrastructure as Code (Terraform, Crossplane, Pulumi, CDK)
- CI/CD tools (GitHub Actions, GitLab Pipelines, ArgoCD, Harness.io)
- Scripting languages (Python, Shell, Go, Ruby)
- Cloud platforms (AWS, Azure, Google Cloud)
- Docker containerization
- Monitoring and logging systems
- Configuration management (Ansible, Chef, Puppet)
Benefits
- Opportunity to build products and company from the ground up
- Work on iconic electric vehicle brand revival
- Collaborative, inclusive team environment
- Growth and learning opportunities with senior engineer mentorship
- Multiple office locations (Charlotte NC, Fremont CA, Columbia SC)
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Scout Motors
Scout Motors develops next-generation electric and extended-range electric pickup trucks and SUVs with authentic off-road performance. The company is hiring engineers across powertrains, body structures, electronics, and audio systems to design and integrate these vehicles from concept through production.
- Website
- scoutmotors.com
Likely interview questions
- Tell us about a time you designed or implemented a CI/CD pipeline—what tools did you use and what challenges did you overcome?
- Describe your hands-on experience with Kubernetes. What types of workloads have you deployed and how did you handle scaling or failover scenarios?