Research and adopt open-source and commercial tools and methods that improve compute efficiency and reliability.
Partner with networking, orchestration, SRE, and FinOps teams on cross-team designs and cost trade-offs.
Guide complex technical decisions and design reviews. Challenge assumptions with data, surface architectural risks early, and balance shipping speed with long-term durability.
Own production reliability and incident response for compute systems, and lead post-incident improvements.
Mentor architects and senior engineers and build the next layer of technical leadership.
Level expectations
Principal : Sets technical direction across multiple teams or a major compute area. Shapes architecture, mentors senior engineers and architects, and influences decisions across geographies.
Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
15+ years of related experience in software engineering, cloud, or infrastructure automation with a Bachelor's degree; or 12+ years and a Master's degree; or a PhD with 8+ years of experience; or equivalent experience.
Deep experience designing multi-tenant, cloud-native SaaS at enterprise scale, including distributed systems, large-scale data systems, APIs, and microservices.
Experience designing or operating large-scale schedulers or resource managers, such as Kubernetes, Slurm, or internal equivalents.
Strong programming skills in Go, Python, or Java, with experience in related languages.
Experience with capacity planning, performance engineering, or load testing at scale.
Hands-on experience applying ML in production, including models, feature pipelines, or ML platforms. Using AI tools alone is not enough.
Experience with infrastructure as code and configuration management, such as Terraform and Ansible.
Comfortable with virtualization and cloud infrastructure across private and public clouds, such as Azure, AWS, GCP.
Working understanding of IP networking, block and file storage, and load balancers.
Experience integrating AI into work processes, decision-making, or problem solving.
Works independently across interconnected systems and investigates root causes without waiting for direction.
Influences without direct authority across multiple teams and geographies (US, EU, India).
Communicates clearly with senior leaders, customers, and engineers, and articulates a compelling technical vision.
Has a learning mindset and is motivated to build new skills and bring real improvement to internal and external customers.
Has integrity and honesty, and upholds ServiceNow's values.
Preferred
Experience with ML-driven scheduling, forecasting, or capacity optimization.
Working knowledge of internet protocols such as DNS, NTP, and HTTP.
Experience with release management and large-scale server infrastructure.
For positions in this location, we offer a base pay of $221,200 - $387,100, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
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