Senior Staff Software Engineer – Compute Engineering

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:

• Design and evolve the compute scheduler and resource-management systems including placement prioritization preemption and fairness across workloads. 
• Build capacity models and forecasts across private and public cloud and turn them into reservation and placement decisions. 
• Establish performance and scale testing: benchmarks load tests regression detection and SLOs for scheduling latency and throughput. 
• Apply AI and ML to forecasting anomaly detection and placement optimization where they outperform simpler approaches. 
• Write and maintain declarative software-defined infrastructure at scale with build systems web services and automation that are specified documented and testable. 
• Research and adopt open-source and commercial tools and methods that improve compute efficiency and reliability. 
• Partner with networking orchestration SRE and FinOps teams on cross-team designs and cost trade-offs. 
• Guide complex technical decisions and design reviews. Challenge assumptions with data surface architectural risks early and balance shipping speed with long-term durability. 
• Own production reliability and incident response for compute systems and lead post-incident improvements. 
• Mentor architects and senior engineers and build the next layer of technical leadership. 

Level expectations 

• Senior Staff : Leads the design and delivery of a major component of the compute platform. Drives quality within a team and mentors engineers. 
• Principal : Sets technical direction across multiple teams or a major compute area. Shapes architecture mentors senior engineers and architects and influences decisions across geographies. 

Qualifications :

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 AIs potential impact on the function or industry.
• 12 years of related experience in software engineering cloud or infrastructure automation with a Bachelors degree; or 8 years and a Masters degree; or a PhD with 5 years of experience; or equivalent experience. 
• Deep experience designing multi-tenant cloud-native SaaS at enterprise scale including distributed systems large-scale data systems APIs and microservices. 
• Experience designing or operating large-scale schedulers or resource managers such as Kubernetes Slurm or internal equivalents. 
• Strong programming skills in Go Python or Java with experience in related languages. 
• Experience with capacity planning performance engineering or load testing at scale. 
• Hands-on experience applying ML in production including models feature pipelines or ML platforms. Using AI tools alone is not enough. 
• Experience with infrastructure as code and configuration management 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. 
• Experience integrating AI into work processes decision-making or problem solving. 
• Works independently across interconnected systems and investigates root causes without waiting for direction. 
• Influences without direct authority across multiple teams and geographies (US EU India). 
• Communicates clearly with senior leaders customers and engineers and articulates a compelling technical vision. 
• Has a learning mindset and is motivated to build new skills and bring real improvement to internal and external customers. 
• Has integrity and honesty and upholds ServiceNows values. 

Preferred 

• Experience with ML-driven scheduling forecasting or capacity optimization. 
• Working knowledge of internet protocols such as DNS NTP and HTTP. 
• Experience with release management and large-scale server infrastructure. 

For positions in this location we offer a base pay of $190900 - $334100 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 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 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. 

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Remote Work :

No

Employment Type :

Full-time