Staff Software Engineer – Microservices and Distributed Systems

Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

About This Team: 

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 Windsurf 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. 
• Typically requires a minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience; or equivalent experience. 
• 6+ years of experience in software design, data processing at scale, and proficiency in an Object Oriented language such as Java or GoLang. 
• Hands-on experience in developing and managing large scale distributed systems with high SLA requirements. 
• Good communication skills to articulate decisions and keep the stakeholders informed. 
• Passion for thinking from the first principles to optimize performance and troubleshoot production issues. 
• Experience with data structures, algorithms, object-oriented design, design patterns, and performance/scale considerations 
• Experience with Kubernetes, Kafka, Flink, data processing systems, and Observability stack is preferred. 
• Ability to manage projects with material technical risk at a team level. 

For positions in this location, we offer a base pay of $163,600 - $286,300, 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 fo