Lead Software Engineer, Omni Promotions eCommerce Engineering

Sephora•San Francisco, CA

28d•Hybrid

About The Position

As Lead Software Engineer, Omni Promotions, you'll architect and build the core engine powering personalized offers and campaigns at massive scale. This is a high-impact technical role where your systems decisions affect millions of beauty enthusiasts daily. You'll be part of a team that's united in beauty, supported by those who are equally passionate about delivering best-of-breed eCommerce solutions.

Requirements

8+ years of hands-on experience in Java/J2EE, Spring Boot, RESTful APIs, and microservices architecture, preferably on MS Azure cloud platform.
Demonstrated experience leveraging AI-powered development tools (e.g., GitHub Copilot, Claude/Claude Code, or similar) to improve engineering productivity and solution quality, including defining reusable prompts or skills and shared contextual standards (architecture guidelines, coding conventions, domain constraints) to enable consistent, secure, and maintainable AI-assisted development across teams.
3+ years with front-end technologies like JavaScript and React, plus experience with AI developer tools (GitHub Copilot, Claude Code) or integrating AI APIs.
Proven track record designing, deploying, and managing cloud-based applications with strong skills in Kafka, MySQL, service mesh (Istio), and monitoring tools (Splunk, AppDynamics).
Understanding of retail promotions engines; experience with Talon.One is preferred.
Ability to thrive in a fast-paced agile environment, mentor team members, and maintain clear communication while working with global teams across multiple time zones.
BS or MS in Computer Science or equivalent; MS preferred.

Nice To Haves

Experience with Talon.One is preferred.

Responsibilities

Lead omni-channel promotion capabilities. Drive implementation of promotion features across the enterprise, ensuring seamless experiences from online to in-store.
Design and build full-stack solutions. Create robust APIs, services, and UI layers using modern Java-based microservices and React, leveraging AI-based code assistants like GitHub Copilot and Claude Code.
Innovate with AI/ML capabilities. Explore and integrate intelligent campaign targeting, rule recommendations, fraud prevention, and optimization features.
Champion technical excellence. Contribute to system design, architecture, security, scalability, reliability, and performance while mentoring engineers through code reviews, design sessions, and pair programming.
Collaborate cross-functionally. Build partnerships with architects, technical leads, and product teams to evaluate requirements, identify gaps, and deliver solutions within sprint cycles.
Monitor and optimize performance. Proactively identify, isolate, and resolve problems to ensure zero business impact, handling incident tickets within SLAs.