Senior Engineer, ServiceNow IT Services Engineering

SEPHORA; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Sephora in San Francisco is seeking a Senior Engineer, IT Services to design and deliver enterprise-grade technology platforms powering Sephora's operations at scale. You will work across ServiceNow, Atlassian (Jira, Confluence) and AI-first engineering workflows, ensuring secure, scalable solutions while maintaining production reliability and strong stakeholder partnerships.

You'll mentor teammates, share reusable patterns, and influence the SDLC with a focus on responsible AI and continuous

Qualifications

• 5–7 years of software/platform engineering experience with ServiceNow and Atlassian products.
• Experience applying AI agents to engineering workflows and context management.

Responsibilities

• Design, build, configure, and support IT Services platforms and integrations.
• Write readable, testable code and validate AI outputs for correctness.
• Troubleshoot and resolve complex production issues across platforms.
• Collaborate with analysts, architects, product partners, and engineers to translate needs.
• Mentor teammates on prompt engineering and responsible AI practices.

Skills

Platform engineering

ServiceNow

Jira

Confluence

AI-first engineering

Tools

ServiceNow

Jira

Confluence

Job description

Your Role at Sephora:

Ready for a career glow up? 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.

What You'll Do:

• Platform Engineering & Solution Delivery. Design, build, configure, and support IT Services platforms and integrations — actively directing AI agents to accelerate solution design, configuration analysis, documentation, and implementation planning.
• Production-Ready Engineering. 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.
• Production Support & Operational Reliability. Troubleshoot and resolve complex L3+ production issues across supported platforms, leveraging AI agents to correlate logs, summarize incident timelines, and generate knowledge-transfer materials.
• Stakeholder Partnership & Technical Communication. 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.
• Technical Leadership & Mentorship. Share reusable engineering patterns, prompt templates, and workflow improvements; mentor teammates on prompt engineering, responsible AI review, and agentic SDLC practices.

What You'll Bring:

• Enterprise Platform Expertise. 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.
• AI-First Engineering Fluency. 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.