Senior Software Engineer – Compute Engineering

ServiceNow • Santa Clara, CA

5h

About The Position

The Senior Software Engineer will join ServiceNow’s Compute Engineering organization, which builds the scheduling, capacity, and performance systems that run the platform across private and public cloud. The role involves developing and maintaining software-defined, declarative infrastructure for compute at scale, along with build systems, services, and automation that are specified, documented, and testable.

The engineer will contribute to compute scheduler and resource-management components, capacity data tools, and performance and load testing. They will collaborate with networking, orchestration, and SRE teams; participate in design reviews and on-call rotations; and help improve systems following incidents. The role also uses AI tools to accelerate development and analysis and explores how machine learning can improve capacity or placement decisions.

Requirements

• Experience leveraging or critically considering how to integrate AI into work processes, decision-making, or problem-solving.
• At least 5 years of related software engineering, cloud, or infrastructure automation experience with a bachelor's degree; or at least 3 years with a master's degree; or a Ph.D. 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.
• Comfort 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 internet protocols such as DNS, NTP, and HTTP.
• Ability to work independently across interconnected systems and investigate root causes without waiting for direction.
• Learning mindset and motivation to build new skills and bring improvement to internal and external customers.
• Excellent oral and written communication skills.
• Integrity and honesty, and a commitment to upholding ServiceNow's values.

Nice To Haves

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

Responsibilities

• Write and maintain software-defined, declarative infrastructure for compute at scale, including build systems, services, and automation that are specified, documented, and testable.
• Build and improve compute scheduler and resource-management components, 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.
• Participate 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 machine learning can improve capacity or placement decisions.

Benefits

• Health plans, including flexible spending accounts.
• 401(k) plan with company match.
• Employee stock purchase plan (ESPP).
• Matching donations.
• Flexible time away plan.
• Family leave programs.
• Equity, when applicable, and variable/incentive compensation.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior