Cloud Engineer - Platform Engineering

Lightspeed DMS•South Jordan, UT

5h•Hybrid

About The Position

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, GitOps 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.

Requirements

5+ years in Cloud/Platform Engineering/SRE/DevOps roles with production AWS experience
Strong GitOps mindset with hands-on experience using ArgoCD, FluxCD, or similar tools
Kubernetes expertise (4+ years) managing EKS clusters in production environments
PostgreSQL experience with RDS PostgreSQL and Aurora PostgreSQL in production
Experience using AI coding assistants (GitHub 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 in Helm chart development and management
Advanced Python scripting for automation and tooling (beyond basic scripts)
Bash/Shell scripting proficiency
CI/CD pipeline experience (GitLab CI preferred)
Linux administration background (4+ years)
Self-service platform thinking - instinct to build tools that enable others
Cloud-native design mindset - architecting for AWS from the ground up
Automation-first approach - proven track record of eliminating toil through tooling
Systems thinking - understanding how components interact in complex distributed systems
Exceptional communication with developers - ability to translate technical concepts and collaborate effectively · Embedded squad experience - comfortable working directly within development teams as their infrastructure guide
Excellent follow-through - strong task completion orientation and reliability
Collaborative mindset - team-first approach, not siloed thinking
Strategic guidance ability - can help developers make informed AWS infrastructure decisions
Experience working in Agile development environments

Nice To Haves

Experience building developer self-service platforms or internal developer platforms (IDP)
Hands-on experience with AI coding assistants for Terraform/Python development, AI-driven infrastructure analysis, or LLM-based automation workflows
AWS Well-Architected Framework knowledge
Experience with observability platforms (Datadog, Prometheus, Grafana)
Background in platform engineering or SRE disciplines
Understanding of building and managing large-scale distributed systems
Experience with messaging technologies (AmazonMQ, RabbitMQ, Kafka)
Incident management and root cause analysis experience
Prior experience as an embedded infrastructure engineer within development teams

Responsibilities

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 GitOps workflows
Implement GitOps practices using ArgoCD and Helm for automated deployments across EKS clusters
Build and maintain modular Terraform infrastructure supporting EKS, RDS PostgreSQL, Aurora PostgreSQL, 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