Cloud Engineer - Platform Engineering

Overview

Lightspeed is a leading provider of cloud-based software for dealerships and Original Equipment Manufacturers (OEMs), serving the Powersport, Marine, RV, Trailer, Outdoor Power Equipment, and Golf Cart industries. Lightspeed’s Dealer Management Solution (DMS) enables dealerships to optimize their end-to-end business operations, including sales, parts, service, rentals, accounting, and Customer Relationship Management (CRM). When implemented into their daily operations, Lightspeed helps dealers increase their profitability by selling more units, service, and parts, all while creating a more streamlined experience for customers.

For nearly 40 years, Lightspeed has been empowering 4,500+ dealers across North America with the tools and technology they need to manage their dealerships.

We re seeking a Cloud Engineer to join our platform engineering team as an embedded member of development squads. In this role, you ll work directly alongside application developers, enabling their success through self-service infrastructure platforms, Git Ops automation, and AI-powered tooling. You ll manage infrastructure supporting 4,000+ EKS workloads in AWS while building the next generation of developer-focused platforms that dramatically increase velocity.

This isn t a traditional infrastructure role. You ll be a strategic partner to developers, guiding cloud architecture decisions, building automation that eliminates toil, and leveraging AI to accelerate both infrastructure and application delivery.

• Build and maintain self-service infrastructure platforms that empower developers to provision and manage their own AWS resources
• Work embedded within development squads as their cloud infrastructure guide and strategic partner
• Design and implement reusable Terraform modules that enable consistent, scalable infrastructure patterns
• Develop AI-powered automation tools that increase team velocity and reduce manual operational overhead
• Create developer-friendly abstractions over complex infrastructure using Git Ops workflows

• Implement Git Ops practices using ArgoCD and Helm for automated deployments across EKS clusters
• Build and maintain modular Terraform infrastructure supporting EKS, RDS Postgre
  
  SQL, Aurora Postgre
  
  SQL, and core AWS services
• Leverage AI tools to accelerate Terraform module development, code review, and documentation
• Design Terraform module libraries that balance flexibility with guardrails
• Establish CI/CD pipelines that enable developers to safely deploy infrastructure changes

• Partner with developers to design cloud-native architectures optimized for AWS
• Guide infrastructure decisions within development squads, translating application requirements into scalable AWS solutions
• Collaborate with Cloud Architects and Security teams on infrastructure patterns and best practices
• Implement highly available, scalable, and self-healing systems

• Develop Python and Bash automation that eliminates repetitive operational tasks
• Strategically apply AI tools (code generation, infrastructure optimization) to accelerate delivery
• Build monitoring, logging, and observability solutions that provide developers insight into their infrastructure
• Continuously improve speed, efficiency, and scalability through automation-first thinking

Technical Skills

• 5+ years in Cloud/Platform Engineering/SRE/Dev Ops roles with production AWS experience
• Strong Git Ops mindset with hands-on experience using ArgoCD, FluxCD, or similar tools
• Kubernetes expertise (4+ years) managing EKS clusters in production environments
• Postgre
  
  SQL experience with RDS Postgre
  
  SQL and Aurora Postgre
  
  SQL in production
• Experience using AI coding assistants (Git Hub Copilot, Claude, Cursor, or similar) for infrastructure code development
• Advanced Terraform skills including:
  Designing and implementing modular, reusable Terraform code;
  Building Terraform module libraries;
  Managing complex AWS infrastructure as code;
  Understanding of Terraform best practices and state management
• Deep AWS knowledge: VPC, IAM, EKS, RDS, Aurora, S3, Security Groups, networking
• Proficient…