Senior Staff Software Engineer – Compute Engineering
ServiceNow13 hours ago
Base Salary
$191k - $334k/yr
Responsibilities
- Design and evolve compute schedulers and resource-management systems for placement, prioritization, preemption, and workload fairness.
- Build capacity models and forecasts and translate them into reservation and placement decisions across private and public clouds.
- Establish benchmarks, load tests, regression detection, and SLOs for scheduling latency and throughput.
- Apply AI and ML to forecasting, anomaly detection, and placement optimization when they outperform simpler approaches.
- Develop declarative software-defined infrastructure, build systems, web services, and automation that are documented and testable.
- Research and adopt tools and methods that improve compute efficiency and reliability.
- Partner with networking, orchestration, SRE, and FinOps teams on designs and cost trade-offs.
- Lead complex technical decisions, design reviews, production reliability, incident response, and post-incident improvements.
- Mentor architects and senior engineers and build the next layer of technical leadership.
Requirements
- 12+ years of related software engineering, cloud, or infrastructure automation experience with a Bachelor’s degree; or 8+ years with a Master’s 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, plus experience with related languages.
- Experience with capacity planning, performance engineering, or load testing at scale.
- Hands-on production ML experience involving models, feature pipelines, or ML platforms; AI tools alone are insufficient.
- Experience with infrastructure as code and configuration management such as Terraform and Ansible.
- Experience with virtualization and cloud infrastructure across private and public clouds, including Azure, AWS, or GCP.
- Working understanding of IP networking, block and file storage, and load balancers.
- Ability to work independently across interconnected systems, investigate root causes, influence across teams and geographies, and communicate technical vision clearly.
- Preferred experience with ML-driven scheduling, forecasting, or capacity optimization; DNS, NTP, and HTTP; release management; and large-scale server infrastructure.
Benefits
- Base pay is $190,900 - $334,100 per year, plus equity when applicable, variable or incentive compensation, and benefits.
- Benefits include health plans, flexible spending accounts, a 401(k) plan with company match, ESPP, matching donations, flexible time away, and family leave programs.
- The role has a flexible or remote work persona within a distributed work environment.
- Employee type is regular.
Tech Stack
About ServiceNow
ServiceNow builds a cloud platform for enterprise digital workflows, covering IT service management, customer service, HR service delivery, security operations, and operations management, plus tools for custom app development. It sells subscription SaaS to large organizations and public-sector agencies to automate processes and connect data across systems. Founded in 2004 and headquartered in Santa Clara, California, ServiceNow is a public company listed on the NYSE under the ticker NOW.