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Job description
Lightspeed is the leading provider of cloud-based software for dealerships, serving the Powersport, Marine, RV, Trailer, and Golf Car industries and 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 profitability by selling more units, service, and parts, 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 four decades, Lightspeed empowers more than 4,500 dealers across North America with the tools and technology they need to manage their dealerships.
What you’ll do:
Leverage AI coding assistants (Claude, GitHub Copilot, or similar) to accelerate development, refactoring, and code review processes
Collaborate in Agile teams to refine requirements, estimate tasks, and contribute to sprint activities with AI‑enhanced productivity
Design and implement software solutions using object‑oriented principles, ensuring reusability, scalability, and maintainability
Develop clean, efficient, well‑documented code with AI assistance while maintaining high standards of code ownership and understanding
Utilize AI tools for automated testing, test case generation, and maintaining comprehensive unit test coverage
Participate in AI‑assisted code reviews, focusing on architecture decisions, logic validation, and security considerations
Work closely with business, product management, QA, and hosting teams to facilitate smooth rollouts across AWS environments (development, staging, production)
Manage and optimize CI/CD pipelines with AI‑enhanced automation for build, test, and deployment processes
Apply prompt engineering techniques to maximize effectiveness of AI coding tools for your specific development tasks
Use team tools including Jira, GitLab, SwaggerHub, Bruno, and AI platforms for project tracking, version control, API documentation, and testing
Maintain comprehensive documentation in Confluence, leveraging AI to keep resources current and accessible
Contribute to team knowledge sharing on AI tool best practices, effective prompts, and AI‑assisted development workflows
Required Qualifications:
Bachelor’s degree in Computer Science, Engineering, or related field with 3–5 years of development experience, including 1+ years of agentic AI development experience; or equivalent experience in lieu of a degree
Proficiency in Python and Java (3–5 years each), with hands‑on experience in AWS cloud environments
Demonstrated experience using agentic coding tools (Claude Code, GitHub Copilot, Cursor, or similar), including the ability to critically evaluate, validate, and debug AI‑generated code
Strong computer science fundamentals, including data structures, algorithms, object‑oriented design, and software architecture principles
Proven experience with Agile and Scrum methodologies in fast‑paced development environments
Experience developing and integrating RESTful APIs with proficiency in SQL and relational databases
Understanding of distributed systems and microservices architecture
Working knowledge of Linux/Unix operating systems and command‑line tools
Strong communication and collaboration skills, with a growth mindset and ability to prioritize effectively in a fast‑paced environment
Preferred Qualifications:
Experience with prompt engineering and optimizing AI tool outputs for software development tasks
Familiarity with test‑driven development (TDD) and achieving high code coverage standards, including AI‑generated test cases
Knowledge of AI model capabilities, limitations, and best practices for AI‑assisted development
Experience integrating front‑end and back‑end systems with modern architectural patterns
Proficiency with modern databases (PostgreSQL preferred) and microservices architecture
Knowledge of containerization and orchestration technologies (Docker, Kubernetes)
Experience with infrastructure as code (Terraform) and DevOps practices
Understanding of code quality tools, static analysis, and automated security scanning
Contributions to open‑source projects or technical blog posts demonstrating AI‑assisted development expertise
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.
Applicants must be authorized to work in the U.S.
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Worksite address
south jordan, UT, 84095, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.