- Location
- Remote, OR,US, US
- Workplace
- Remote
- Type
- Full-time
- Department
- Engineering
- Seniority
- Lead
- Experience
- 8+ years
- Source
- Eightfold
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. 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.