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Staff Software Engineer – Compute Engineering
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Santa Clara, CA
Write and maintain software-defined, declarative infrastructure for compute at scale, with build systems, services, and automation that are specified, documented, and testable.
Added 6 mins ago
Staff Software Engineer – Compute Engineering
ServiceNow
Santa Clara, CA
Write and maintain software-defined, declarative infrastructure for compute at scale, with build systems, services, and automation that are specified, documented, and testable.
Added 6 mins ago
Senior Software Engineer – Compute Engineering
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Write and maintain software-defined, declarative infrastructure for compute at scale, with build systems, services, and automation that are specified, documented, and testable.
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ServiceNow

Senior Software Engineer – Compute Engineering

Santa Clara, CA, United States

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Job details

Posting language: English
Posted: Nov 13, 2026

Original job description

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

Join the Compute Engineering organization, which builds the scheduling, capacity, and performance systems that run our platform across private and public cloud.

What you get to do in this role:

Write and maintain software-defined, declarative infrastructure for compute at scale, with build systems, services, and automation that are specified, documented, and testable.
Build and improve components of the compute scheduler and resource-management systems, including placement, prioritization, and preemption.
Build tools for capacity data collection, forecasting, and reporting across private and public cloud.
Write performance and load tests, and help detect regressions in scheduling latency and throughput.
Research and adopt open-source and commercial tools and methods that improve compute efficiency and reliability.
Collaborate with networking, orchestration, and SRE teams on integration and design.
Take part in design reviews and on-call rotations, and contribute to post-incident improvements.
Use AI tools to speed up development and analysis, and help identify where ML can improve capacity or placement decisions.

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.
5+ years of related experience in software engineering, cloud, or infrastructure automation with a Bachelor's degree; or 3+ years and a Master's degree; or a PhD with relevant research or industry experience; or equivalent experience.
Strong programming skills in Python, Go, or Java, with experience in related languages.
Experience building and maintaining Linux-based systems through infrastructure-as-code and configuration management tools, 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.
Working understanding of internet protocols such as DNS, NTP, and HTTP.
Works independently across interconnected systems and investigates root causes without waiting for direction.
Experience integrating AI into work processes, decision-making, or problem solving.
Has a learning mindset and is motivated to build new skills and bring real improvement to internal and external customers.
Is an excellent oral and written communicator.
Has integrity and honesty, and upholds ServiceNow's values.

Preferred

Experience with capacity planning, performance testing, or load testing.
Experience with Kubernetes, Slurm, or other large-scale schedulers or resource managers.
Experience with ML-driven scheduling, forecasting, or capacity optimization.
Experience with release management and large-scale server infrastructure.

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 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. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

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Jobs in the United States