Sr Software Engineer

Lightspeed DMS•South Jordan, UT

2d•Hybrid

About The Position

Lightspeed is seeking a Senior Software Engineer to join one of its high-impact engineering squads. This role involves serving as a technical leader, designing complex systems, driving architectural decisions, mentoring engineers, and delivering high-quality software for the cloud-native Evolution DMS platform. The position operates at the intersection of scale, performance, and user impact, addressing challenging problems within the company's technology stack. This is a full-time role within a collaborative, Agile environment where individual decisions have significant influence.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field with 5+ 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.

Nice To Haves

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.

Responsibilities

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.
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 by proactively identifying and resolving bottlenecks, designing for failure, and implementing resilience patterns across service integrations.
Drive cloud infrastructure decisions on AWS, including serverless architecture, container orchestration, messaging, and data services.
Manage and evolve CI/CD pipelines, automating build, test, and deployment processes 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.