Open Jobs Senior Engineer, IT Services Engineering

Sephora•San Francisco, CA

1d•Remote

About The Position

As Senior Engineer, IT Services, you'll be designing and delivering enterprise-grade technology platforms that power Sephora's operations at scale. The work you do will impact beauty, as you build secure, scalable solutions across ServiceNow, Atlassian, and next-generation AI-first engineering workflows. You'll be part of a team that's united in beauty, supported by those who are equally passionate about operational excellence, continuous innovation, and responsible technology.

Requirements

5–7 years of software/platform engineering experience with advanced, hands-on knowledge of ServiceNow and Atlassian products (Jira, Confluence); demonstrated ability to configure, integrate, upgrade, and troubleshoot across diverse environments.
Practical experience applying AI agents, prompt engineering, and context management to engineering workflows — including code generation, test creation, debugging, incident analysis, and stakeholder communication — with proven ability to critically validate generated outputs before use.
Proficiency in JavaScript, GlideScript, Python, or comparable scripting languages; strong command of secure coding practices, least-privilege principles, REST/SOAP API design, and AI-specific risk awareness including prompt injection and data leakage.

Responsibilities

Design, build, configure, and support IT Services platforms and integrations — actively directing AI agents to accelerate solution design, configuration analysis, documentation, and implementation planning.
Write and maintain readable, testable, and reliable code, configurations, workflows, and integrations; critically validate AI-generated outputs for correctness, security, edge cases, and long-term maintainability.
Troubleshoot and resolve complex L3+ production issues across supported platforms, leveraging AI agents to correlate logs, summarize incident timelines, and generate knowledge-transfer materials.
Collaborate with business analysts, architects, product partners, and engineers to translate needs into practical technical solutions, using AI agents to draft design notes, compare options, and refine decision materials.
Share reusable engineering patterns, prompt templates, and workflow improvements; mentor teammates on prompt engineering, responsible AI review, and agentic SDLC practices.