Build, design, deploy, and maintain high-performance, multi-tenant cloud services on Kubernetes. Write clean, scalable code, enforce engineering best practices, and own features end-to-end. Work with data-processing stacks (Kafka, Flink) and observability tools, collaborate with product owners, mentor engineers, and integrate AI-assisted development tools to accelerate delivery.
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.
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 cloud services using modern technologies.
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:
For positions in this location, we offer a base pay of $143,200 - $243,400, 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.
From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.
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.
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 cloud services using modern technologies.
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 Java or a similar OO languageExperience 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 $143,200 - $243,400, 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.
From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.
ServiceNow Santa Clara, California, USA Office
View Gallery
2225 Lawson Lane, Santa Clara, CA, United States, 95054
ServiceNow Pleasanton, California, USA Office
4305 Hacienda Drive, Suite 200, Pleasanton, CA, United States, 94588
ServiceNow San Francisco, California, USA Office
101 Green Street, San Francisco, CA, United States, 94111
Similar Jobs at ServiceNow
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead performance, scalability, and reliability efforts across the platform. Define benchmarks and SLAs; run load, stress, and scalability tests; optimize services, databases, and infrastructure; build observability; lead RCA and long-term improvements; mentor engineers and influence scalable architecture.
Top Skills:
AWSGo
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead design and implementation of integrations that ingest data from external services (AWS, Okta, GCP, Azure, Box, HashiCorp, Databricks). Drive architecture, scalability, and reliability of microservices and data models, mentor backend engineers, partner with product and customers, and apply AI/ML to streamline adding integrations and mapping access relationships.
Top Skills:
Ai/Ml ModelsAWSAzureBoxCaching MechanismsDatabricksDistributed SystemsGoGoogle Cloud PlatformHashicorpJavaMicroservicesNoSQLOktaRestful ApisSQL
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design, build, and operate production-grade agentic AI systems: multi-agent orchestration, enterprise-grounded reasoning using CMDB/Knowledge Graph, retrieval/RAG pipelines, model integration with frontier SDKs, and trust/safety/governance. Lead architecture, code quality, and mentor engineers for scalable, safe autonomous agents.
Top Skills:
AnthropicC++CmdbGoGoogle (Ai Sdks)Hybrid SearchInference OptimizationJavaKnowledge GraphLlm Fine-TuningMlopsModel ObservabilityOpenaiPrompt EngineeringPythonRagRe-RankingRetrieval Evaluation MetricsVector StoresWorkflow Data Fabric
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
