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# Lead Engineer, IT Services (Remote, Remote, US, USA_523019)

- **Company:** Sephora
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $160,000 - $179,000
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Cloud Computing, Software Quality, Information Systems, Computer Programming, Databases, Continuous Integration, Custom Software, Software Debugging, Python (Programming Language), Software Engineering, Systems Integration, Scripting, Enterprise Software Applications, Large Language Models, Agentic-AI, Information Technology, Production Code, Software Version Control
- **Published:** November 12, 2026
- **Apply:** https://www.careerbuilder.com/job-details/lead-engineer-it-services-remote-remote-us-usa-523019-remote-or--44ff214f-2d55-44d9-b10b-77521d0b361c

## About the Role

Information Technology & Information Systems, Technical Support, Information Technology & Information Systems, Diversity, Automation, Service Delivery, Technical Support, Artificial Intelligence (AI) Agents, Production Support, Application Programming Interface (API), * Software Engineering Experience: 8+ years of experience in software engineering with strong fundamentals in system design, architecture, code quality, testing, security, and production support.

 * Enterprise Architecture: 5+ years of experience architecting, building, integrating, deploying, and operating enterprise applications, platforms, APIs, or workflow solutions.
 * Programming Expertise: 5+ years of experience with Python and one or more additional programming or scripting languages.
 * Cloud & Infrastructure: 3+ years of experience with cloud platforms, databases, APIs, CI/CD, version control, automated testing, and observability.
 * AI-Native Engineerin 2+ years of hands-on experience using AI agents throughout software delivery, including design, coding, testing, review, documentation, debugging, and incident response.
 * Agentic Solutions: 2+ years of hands-on experience building or integrating production AI agents, agentic workflows, or LLM-powered applications., The annual base salary range for this position is $160,000.00 - $179,000.00 The actual base salary offered depends on a variety of factors, which may include, as applicable, the applicant's qualifications for the position; years of relevant experience; specific and unique skills; level of education attained; certifications or other professional licenses held; other legitimate, non-discriminatory business factors specific to the position; and the geographic location in which the applicant lives and/or from which they will perform the job. Individuals employed in this position may also be eligible to earn bonuses. This job will be posted for a minimum of five days.

## Description

Ready for a career glow up? As a Lead Engineer, IT Services Engineering, you'll independently turn complex and ambiguous problems into secure, scalable, reliable, and supportable production solutions. The work you do will impact beauty, as you modernize IT service delivery by combining platform-native capabilities, deterministic automation, custom engineering, and production AI agents. You'll be part of a team that's united in beauty, supported by those who are equally passionate about architecting, building, and operating the technology that powers how Sephora teams work.

What You'll Do:

 * Platform & Solution Architecture: Architect, design, build, integrate, and deliver enterprise platforms, custom applications, workflow solutions, APIs, automation, and production AI agents while choosing the simplest supportable solution.
 * Production Code & AI Delivery: Write and maintain production-ready code, configurations, integrations, agent workflows, tests, and deployment artifacts, establishing reusable context and quality gates for AI-enabled delivery.
 * Operational Excellence: Own the production behavior, operational readiness, observability, reliability, and incident response of platforms and AI-enabled solutions across the team's domain.
 * Technical Leadership: Provide hands-on technical leadership without direct people-management responsibility, leading design and code reviews, mentoring engineers, and guiding technical and non-technical stakeholders from ambiguous needs to clear decisions.