Sr Software Engineer

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 daily operations, Lightspeed helps dealers increase 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 looking for a Senior Software Engineer to join one of our high‑impact engineering squads. In this role, you will serve as a technical leader, 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.

• 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—auth, API 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—a culture of continuous learning is a strong plus.
• Own end‑to‑end delivery of features from design through production—clean, efficient, well‑documented code in Java, Kotlin, and Type Script 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
  —proactive bottleneck resolution, failure design, and resilience patterns such as circuit breakers, caching, back‑off, and retry across service integrations.
• Drive cloud infrastructure decisions on AWS—serverless architecture, container orchestration, messaging, and data services including RDS, Elasti Cache, and Dynamo
  
  DB.
• Manage and evolve CI/CD pipelines
  —automating build, test, and deployment processes using Git Lab CI, Gradle, Terraform, and Serverless Framework to enable rapid, consistent releases.
• 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 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.

• BS in Computer Science, Engineering, or a related field with 5 years of professional software engineering experience or equivalent experience.
• Deep expertise in Java, Kotlin, Groovy, and the Jakarta EE ecosystem—JPA, Wildfly/JBoss, or Spring—with…