Senior Software Engineer – Compute Engineering

Posted 8 Hours Ago
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Santa Clara, CA, USA
Hybrid
143K-243K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
We're putting AI to work for people.
The Role
Build and maintain compute infrastructure, scheduling, capacity, and resource-management systems across private and public clouds. Develop software-defined infrastructure, automation, performance tests, forecasting tools, and reliability improvements. Collaborate with networking, orchestration, and SRE teams, participate in design reviews and on-call rotations, investigate incidents, and explore AI or ML for capacity and placement optimization.
Summary Generated by Built In
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

We are hiring across multiple engineering levels. Final level alignment is determined by experience, technical expertise, demonstrated impact, and interview performance. 

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. 

Level expectations 

  • Senior Level : Delivers well-defined features and components with guidance. Writes, tests, and debugs code independently within a system, and takes their work through to production. 
  • Staff Level : Owns a component or feature area end to end, including scoping and design. Leads design discussions for a team, mentors IC3 engineers, and identifies risks before they become incidents. 

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. 

Staff Level additionally 

  • Drives architectural discussions and influences technical decisions to simplify and streamline infrastructure. 
  • Has led the design and delivery of a component or feature area end to end. 
  • Has mentored engineers and helped them grow technically. 

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 [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.

Skills Required

  • 5+ years of related experience in software engineering, cloud, or infrastructure automation with a Bachelor's degree
  • 3+ years of related experience with 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 using infrastructure-as-code and configuration management tools such as Terraform and Ansible
  • Experience with virtualization and cloud infrastructure across private and public clouds, such as Azure, AWS, or GCP
  • Working understanding of IP networking, block and file storage, and load balancers
  • Working understanding of DNS, NTP, HTTP, and other internet protocols
  • Ability to work independently across interconnected systems and investigate root causes
  • Experience integrating AI into work processes, decision-making, or problem-solving
  • Excellent oral and written communication skills
  • 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

What the Team is Saying

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ServiceNow Compensation & Benefits Highlights

  • Healthcare Strength — Health, dental, and vision coverage is broad and paired with mental‑health resources and an EAP, with descriptions of low out‑of‑pocket costs for routine care in some areas. Specialized support such as transgender healthcare is also highlighted in certain regions.
  • Parental & Family Support — Generous parental leave is complemented by fertility and adoption assistance, breastmilk shipping, and backup care for children, adults, or pets in select regions. Family‑planning resources and caregiving support are emphasized, though details can vary by country and level.
  • Equity Value & Accessibility — Equity grants, bonuses, and access to an ESPP are core parts of total rewards, with RSUs and refresh grants cited as meaningful. Feedback suggests these components help make overall compensation competitive across many technical and go‑to‑market roles.

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The Company
HQ: Santa Clara, CA
29,000 Employees
Year Founded: 2004

What We Do

As the AI platform for business transformation, we're putting AI to work across organizations — freeing people for work that matters. Making old tech work with new tech. Reaching across departments, from the front office to the back office and every office in between. Our ambition? To become the AI defining enterprise software company of the 21st century (or "AI DESCO21C," as we like to call it). With more than 8,400+ customers, we serve approximately 90% of the Fortune 500®, and we're proud to be a Fortune 100 Best Companies to Work For® and World's Most Admired Companies™. Explore your future career with us, visit www.careers.servicenow.com From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Why Work With Us

By joining ServiceNow, you are part of an ambitious team of change-makers who have a restless curiosity and a drive for ingenuity. We're committed to helping our people do their best work and live their best lives so we can fulfill our purpose together. At the fastest-growing enterprise software company, you can grow your career faster.

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ServiceNow Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

At ServiceNow, we lead with flexibility and trust. For some, home is the primary workplace. For those who come into a ServiceNow workplace, you are empowered to make team-guided and individual-led decisions on how and when you use the workplace.

Typical time on-site: Flexible
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