Lead Engineer, IT Services

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At Sephora, beauty is about feeling seen, valued, and empowered, individually and collectively. It is connecting deeply with others, celebrating diversity and inclusivity, unlocking your potential, and making a difference every day. Together, we belong to something beautiful.

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.

• 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.

• 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 Engineering: 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 $- $ 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.

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