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Principal Software Engineer

Lightspeed DMS · South Jordan, UT

Product Development (PD) UT Office Posted May 8, 2026

Company Overview:

Lightspeed is the leading provider of cloud-based software for dealerships, serving the Powersport, Marine, RV, Trailer, and Golf Car industries adding hundreds of dealerships to the Lightspeed community each year.

Lightspeed’s Dealer Management Solution (DMS) enables dealerships to optimize their end-to-end business operations, including Sales, Parts, Service, Rentals, Payments, 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.

Lightspeed is the most complete and integrated DMS in the industry with over 500 integrations with Original Equipment Manufacturers (OEMs), aftermarket parts and accessory distributors and dozens of other software tools that a dealership may use to run their business. Uniquely designed by dealers for dealers, and refined over the past 4 decades, Lightspeed empowers over 4,500+ dealers across North America with the tools and technology they need to manage their dealerships.

We are looking for a Principal Software Engineer to join one of our high-impact engineering squads. In this role, you will serve as a technical leader and be key in designing complex systems, driving architectural decisions, mentoring engineers, and delivering high-quality software across our cloud-native Evolution DMS platform. You will work at the intersection of scale, performance, and user impact, tackling some of the hardest problems in our stack.

This is a full-time position with the opportunity to work in a collaborative, Agile environment where your decisions carry real weight.

What You'll Do

Lead technical design and architecture for complex, cross-functional features — evaluating trade-offs, defining patterns, and ensuring solutions are scalable, maintainable, and performant across a large enterprise-grade codebase.
Build and own platform-level frameworks used by other engineering squads — including authentication/authorization systems, API development tooling, webhook infrastructure, messaging pipelines, AI integrations, and CI/CD tooling.
Drive engineering excellence through code reviews, architectural guidance, and establishing best practices that raise the bar for the entire team.
Mentor and develop junior and mid-level engineers through pairing, design reviews, and knowledge sharing — fostering a culture of continuous learning (teaching experience a strong plus).
Own end-to-end delivery of features from design through production — writing clean, efficient, well-documented code in Java, Kotlin, and TypeScript adhering to team standards.
Lead and execute complex integrations with third-party systems — including payment processors, identity providers, OEM data feeds, and external APIs — ensuring resilience, security, and maintainability.
Champion performance and reliability — proactively identify and resolve bottlenecks, design for failure, and implement resilience patterns (circuit breakers, caching strategies, backoff/retry) across our service integrations.
Drive cloud infrastructure decisions on AWS — including serverless architecture (Lambda, API Gateway), container orchestration (EKS), messaging (SNS/SQS, RabbitMQ), and data services (RDS PostgreSQL, ElastiCache/Redis, DynamoDB).
Manage and evolve CI/CD pipelines — automating build, test, and deployment processes using GitLab CI, Gradle, Terraform, and Serverless Framework to enable rapid, consistent releases across environments.
Lead incident response and root cause analysis for high-severity production issues, translating findings into actionable architectural improvements.
Contribute to infrastructure as code using Terraform, supporting reproducible, version-controlled AWS environment provisioning.
Maintain and improve technical documentation in Confluence, ensuring architectural decisions, patterns, and runbooks are accessible and up to date.
Evaluate and adopt emerging technologies — including AI/ML tooling — making recommendations that align with long-term platform direction.

What You'll Have

Qualifications

Bachelor's degree in Computer Science, Engineering, or a related field with 7+ years of professional software engineering experience; or equivalent experience in lieu of a degree.
Deep expertise in Java / Kotlin / Groovy and the Jakarta EE ecosystem — including JPA, Wildfly/JBoss, or Spring — with a strong command of object-oriented and functional design principles.
Strong proficiency in TypeScript and JavaScript — including Node.js and modern backend frameworks such as NestJS — with the ability to contribute across the full stack.
Demonstrated ability to architect and deliver distributed, cloud-native systems at scale — including microservices, event-driven architectures, and RESTful API design.
Integrate AI-assisted development tools (such as GitHub Copilot, Claude, or equivalent) into day-to-day engineering workflows — including code generation, automated code review, test authoring, and documentation — to improve individual and team productivity without compromising code quality or security standards.
Extensive hands-on experience with AWS — specifically Lambda, API Gateway, CloudFront, S3, SNS, SQS, EKS, ElastiCache, and DynamoDB — and a track record of deploying and operating production workloads in cloud environments.
Advanced proficiency with PostgreSQL and other data stores (Redis/Valkey, MongoDB) — including query optimization, indexing strategies, and schema design.
Proven experience designing and implementing authentication and authorization systems — including OAuth 2.0, OIDC, and integration with identity providers such as Okta and FusionAuth.
Proficiency with containerization and orchestration — Docker and Kubernetes/EKS — at a production operations level.
Demonstrated experience leading or contributing to large-scale migrations — including legacy system rewrites, on-prem to cloud migrations, or major platform re-architectures.
Solid understanding of messaging and event-driven systems — RabbitMQ, SNS/SQS, and ETCD-backed configuration management.
Strong verbal and written communication skills with a demonstrated ability to influence technical direction across teams.

Preferred Qualifications

AWS Certification (Cloud Practitioner, Solutions Architect, or AI Practitioner) strongly preferred.
Experience on a developer platform or framework team — building shared tooling, libraries, and infrastructure that other engineering squads build on top of.
Familiarity with AI/ML integration patterns in production software — including LLM APIs, prompt engineering, or agentic workflow tooling.
Solid experience with infrastructure as code using Terraform and deployment automation using Serverless Framework and GitLab CI.
Experience with desktop application development and migration from legacy desktop (Swing or equivalent) to modern web/React front ends.
Experience building and maintaining third-party payment integrations (e.g., WorldPay, Stripe, or equivalent payment processors), with strong understanding of PCI compliance considerations.
Experience with build tooling — Gradle, Ant, or equivalent — in large multi-module Java projects.
Familiarity with test-driven development (TDD), Jest, and maintaining high code coverage standards across unit, integration, and regression testing.
Experience with observability tooling — Datadog, distributed tracing, structured logging, and defining SLOs/SLIs for production services.
Prior experience in a teaching, mentoring, or adjunct instruction role is a meaningful differentiator and reflects the collaborative culture we value.
Working knowledge of Linux/Unix systems and scripting (Python or Bash).
Oracle Certified Java Programmer or equivalent certification a plus.

Inclusion and Diversity at Lightspeed:

At Lightspeed, we celebrate the uniqueness of every individual and encourage diverse perspectives. We believe that inclusion drives innovation and fosters meaningful connections. We are committed to building an environment where everyone feels valued and empowered to make an impact.

Equal Employment Opportunity Statement:

Lightspeed is an Equal Opportunity Employer and is dedicated to building a diverse and inclusive workforce. All qualified applicants will be considered for employment without regard to race, color, creed, ancestry, national origin, gender, sexual orientation, gender identity, gender expression, marital status, religion, age, disability, veteran status, or any other protected category.

Important Note:

Applicants must be authorized to work in the U.S.

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Cloud Engineer - Platform Engineering

Lightspeed DMS · South Jordan, UT

Apply now

Data Hosting (DH) UT Office Posted May 8, 2026

Company Overview:

Lightspeed is the leading provider of cloud-based software for dealerships, serving the Powersport, Marine, RV, Trailer, and Golf Car industries adding hundreds of dealerships to the Lightspeed community each year.

Lightspeed’s Dealer Management Solution (DMS) enables dealerships to optimize their end-to-end business operations, including Sales, Parts, Service, Rentals, Payments, 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.

Lightspeed is the most complete and integrated DMS in the industry with over 500 integrations with Original Equipment Manufacturers (OEMs), aftermarket parts and accessory distributors and dozens of other software tools that a dealership may use to run their business. Uniquely designed by dealers for dealers, and refined over the past 4 decades, Lightspeed empowers over 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.

What you'll do:

Platform Development & Developer Enablement

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

Infrastructure as Code & GitOps

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

Cloud Architecture & Collaboration

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

Automation & Velocity

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

What you should have:

Technical Skills

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)

Essential Mindset & Approach

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

Soft Skills (Critical)

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

Preferred Qualifications

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
What Makes This Role Different
You'll be a force multiplier for development teams, building platforms and automation that let developers move fast while maintaining reliability and security. Your success is measured by developer velocity, reduced operational toil, and the quality of self-service tools you create.
Work Requirements
Hybrid or Remote (Utah preferred, open to other locations)
Occasional availability during maintenance windows
On-call rotation support for production infrastructure

We're looking for engineers who are excited about empowering developers, obsessed with automation, and think in terms of platforms. If you love building tools that make others more productive, we want to talk to you.