About the Team:
Gauge is Lowe’s unified platform for collecting, validating, transforming, and distributing first-party event data across our digital experiences. It provides a trusted, consistent foundation for analytics, marketing, personalization, reporting, and other capabilities across Lowe’s.
The team is modernizing Gauge and expanding its analytics capabilities, creating new ways to turn trusted data into actionable insights and improve digital experiences across Lowe’s.
For engineers who enjoy solving complex problems across software, streaming data, and analytics, Gauge offers the opportunity to help shape the evolution of an enterprise platform with broad reach across the organization.
About the Role:
As a Lead Software Engineer, you'll be a hands-on technical leader helping modernize and evolve Gauge.
This is a backend-leaning full-stack role at the intersection of software engineering, event-driven architecture, data pipelines, and analytics. You'll design and build scalable applications and services, influence architecture, mentor engineers, and help determine how the platform evolves as its capabilities grow.
Your impact: Help evolve the platform that turns digital event data into trusted, actionable insights used across Lowe’s.
What You'll Do:
Lead and build: Design, develop, and deliver scalable applications and services using Java, Spring Boot, React, Kafka, and Apache Flink while helping guide architecture and technical direction.
Build event-driven systems: Develop solutions that collect, validate, transform, and route event data across applications, data pipelines, and downstream platforms.
Solve at scale: Engineer reliable, high-performing systems that support growing data volumes and evolving analytics capabilities.
Own production quality: Build for reliability, performance, observability, scalability, data quality, and operational excellence from development through production.
Drive technical decisions: Evaluate architectural approaches, communicate tradeoffs, and translate complex business and technical requirements into practical, maintainable solutions.
Modernize and improve: Help evolve Gauge's application, streaming, and data-processing capabilities while improving engineering practices and how the team builds and delivers software.
Raise the engineering bar: Mentor engineers, lead thoughtful code and design reviews, share best practices, and improve engineering standards across the team.
Partner across teams: Collaborate with product, analytics, business, and engineering teams to turn trusted data into capabilities and insights used across Lowe’s.
What You Bring:
7+ years of software development experience building and delivering complex production applications.
Strong hands-on experience building backend-leaning full-stack applications, with depth in modern backend services and frontend development.
Experience designing and building event-driven or streaming systems and working with data-intensive applications.
Working knowledge of analytics and data pipelines, including data collection, transformation, validation, and downstream consumption.
Experience driving architecture and technical design, evaluating tradeoffs, and translating complex requirements into scalable solutions.
Technical leadership experience through mentoring, code and design reviews, engineering standards, or leading complex initiatives.
Bachelor's degree in Computer Science, CIS, a related field, or equivalent experience where applicable.
Our Technology:
Gauge combines modern application development with streaming data and analytics. We're looking for engineers with strong experience across our core technologies and the ability to learn as the platform evolves.
Application: Java, Spring Boot, React
Streaming & Data Processing: Kafka, Apache Flink
Data & Analytics: Analytics, data pipelines, data validation and transformation
It's a Plus If:
You've worked with Adobe Analytics or similar digital analytics platforms.
You've built or supported high-volume event, streaming, data-collection, or analytics platforms.
You've helped modernize large-scale enterprise applications or data-intensive systems.
You have experience with event schemas, data transformations, validation, or data-quality controls.
You've worked with AI-assisted development or emerging approaches to analytics and insight generation.
