Job Summary
Lead the design and continued development of compute scheduling and resource-management systems, using AI and machine learning to improve infrastructure capacity and performance. Set technical direction, support the growth of senior engineers, and help maintain reliable production services across private and public cloud environments.
Responsibilities
- Design and evolve systems for compute scheduling and resource management.
- Apply AI and ML techniques to optimize capacity and system performance.
- Guide technical strategy and mentor senior engineering colleagues.
- Promote production reliability across private and public cloud deployments.
Qualifications
- 8–15+ years of experience in software engineering or infrastructure automation, with the experience requirement depending on the candidate’s highest degree.
- Deep expertise designing enterprise-scale, multi-tenant, cloud-native SaaS systems.
- Proficiency in at least one of Go, Python, or Java.
ServiceNow provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
