Staff Software Engineer – Compute Engineering
About The Position
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 owns a component or feature area end to end, including scoping and design, leads team design discussions, mentors IC3 engineers, and identifies risks before they become incidents. The engineer develops software-defined, declarative compute infrastructure at scale, including build systems, services, and automation that are specified, documented, and testable. The role also improves compute scheduling and resource-management systems, builds capacity tools, tests system performance, and collaborates with networking, orchestration, and SRE teams. It includes design reviews, on-call rotations, post-incident improvements, and using AI tools to accelerate development and analysis while exploring machine learning for capacity and placement decisions.
Requirements
- Experience integrating AI into work processes, decision-making, or problem-solving, such as through AI-powered tools, workflow automation, analysis of AI-driven insights, or exploration of AI’s potential impact.
- 8 or more years of related software engineering, cloud, or infrastructure automation experience with a bachelor’s degree; or 6 or more years with a master’s degree; or a PhD with 3 or more years of 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 deliver improvements for internal and external customers.
- Excellent oral and written communication skills.
- Integrity and honesty, and commitment to ServiceNow’s values.
- Staff-level experience driving architectural discussions and influencing technical decisions to simplify and streamline infrastructure.
- Staff-level experience leading the design and delivery of a component or feature area end to end.
- Staff-level experience mentoring engineers and helping them grow technically.
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 ML-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 specified, documented, and testable build systems, services, and automation.
- 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 to 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.
- Own a component or feature area end to end, including scoping and design.
- Lead team design discussions, mentor IC3 engineers, and identify risks before they become incidents.
- Drive architectural discussions and influence technical decisions to simplify and streamline infrastructure.
- Lead the end-to-end design and delivery of a component or feature area and help engineers grow technically.
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.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
