Design build deploy and operate high-scale multi-tenant Kubernetes services. Write clean testable code collaborate with product owners integrate AI tools mentor engineers and improve performance observability and data processing pipelines.

Company Description
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI any data and any workflow- helping 85% of the Fortune 500® work smarter faster and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.
Join us to put AI to work for people.
Job Description
The ITOM Cloud Services team at ServiceNow builds scalable multi-tenant services on Kubernetes to help IT teams discover and manage their infrastructure and provide a seamless digital end-user experience. Our services has a strong emphasis on high-scale and high-performance engineering. We operate under a DevOps model and team is spread in US & India. In addition to core infrastructure services the team contributes to agentic AI initiatives and uses tools like ClaudeCode Devin to accelerate development.
This position requires passing a ServiceNow background screening USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening. Due to Federal requirements only US citizens US naturalized citizens or US Permanent Residents holding a green card will be considered.
Role can be in Santa Clara or San Diego CA
What you get to do in this role:

• Build high-quality clean and scalable code by enforcing best practices in software engineering architecture and processes including code reviews and unit testing.
• Design build deploy and manage highly available and performant services using Kubernetes microservices multi tenant architecture
• Collaborate with product owners to understand requirements and own your code from design through implementation testing and delivery.
• Develop software that is extensible and customizable to meet diverse customer needs.
• Contribute to the design and implementation of new products and features while enhancing existing services. Mentor other engineers and help foster a strong customer-focused culture.

Qualifications
To be successful in this role you have:

• 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.
• 3 plus+ years of experience with Golang or Java. Experience with Kubernetes Kafka Flink data processing systems and Observability stack is preferred.
• Experience with data structures algorithms object-oriented design design patterns and performance/scale considerations
• Analytical and design skills
• Working knowledge and ability to use tools to assist with daily tasks (IDE debugger build tools source control ServiceNow instances profilers system administration/Unix tools)

For positions in this location we offer a base pay of $143200 - $243400 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.
Additional Information
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 [email protected] 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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