ServiceNow Logo

ServiceNow

Senior Software Engineer – Compute Engineering

Posted 35 Minutes Ago
Be an Early Applicant
Hybrid
Santa Clara, CA
143K-243K Annually
Senior level
Hybrid
Santa Clara, CA
143K-243K Annually
Senior level
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.
The summary above was generated by AI
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.

Similar Jobs at ServiceNow

35 Minutes Ago
Hybrid
191K-334K Annually
Senior level
191K-334K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Designs and evolves large-scale compute scheduling, resource management, capacity planning, and performance systems across private and public clouds. Applies AI and machine learning to forecasting, anomaly detection, and placement optimization. Owns infrastructure automation, reliability, incident response, architectural decisions, cross-team collaboration, and technical mentorship for enterprise SaaS compute platforms.
Top Skills: AnsibleAPIsAWSAzureBlock StorageDistributed SystemsDnsFile StorageGCPGoHTTPInfrastructure As CodeIp NetworkingJavaKubernetesLoad BalancersMachine LearningMicroservicesNtpPythonSlurmTerraform
2 Hours Ago
Hybrid
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead security design for machine-learning features, maintain safeguards maps, and red-team LLM systems for jailbreaks, prompt injection, prompt leaks, and toxicity. Develop evaluation cases, mitigation strategies, security metrics, and production fixes with ML engineers. Monitor AI attack research, review safeguard changes, and ensure defenses remain effective across models and prompts.
Top Skills: GoLlmsMachine LearningMitre AtlasOwasp Top 10 For Llm ApplicationsPython
2 Hours Ago
Hybrid
221K-387K Annually
Expert/Leader
221K-387K Annually
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads the compute software engineering organization and roadmap across private and public cloud. Owns scheduling, capacity management, performance engineering, cost optimization, and AI/ML-driven forecasting and workload placement. Establishes engineering standards, scalability and reliability practices, staffing plans, and cross-functional priorities while managing managers and engineers in a global production environment.
Top Skills: AICi/CdDevOpsFinopsGoHybrid CloudJavaKubernetesLinuxMachine LearningPrivate CloudPublic CloudPythonSlurmVirtualization

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account