Senior Software Engineer

• 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., 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 (https://careers.servicenow.com/life-at-servicenow#workpersonas) . 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., 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.

• 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 $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.

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.

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.

Role can be in Santa Clara or San Diego, CA