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Salary: USD 190,900 - 334,100 / annual
ServiceNow is seeking a Senior Staff Cloud Architect to lead enterprise-scale cloud architecture initiatives that shape the company's infrastructure across private, sovereign, and public cloud environments. You will serve as a force multiplier, leveraging specialized knowledge in public cloud offerings, database performance, Linux kernel tuning, and modern CPU architectures to solve complex problems affecting ServiceNow's entire customer base—from high-value enterprise accounts to new cloud deployments.
In this critical role, you will architect solutions spanning private datacenters, sovereign cloud, and public cloud platforms (AWS, Azure, GCP). You will evaluate and benchmark emerging technologies, services, and architectural patterns prior to production adoption. You will drive hardware enhancements from original concept through final implementation across all system architectures and assess the impact of design decisions on performance, security, and capacity.
Key responsibilities include:
- Architecting enterprise-scale solutions across private, sovereign, and public cloud environments
- Evaluating and benchmarking emerging technologies and architectural patterns before production adoption
- Driving hardware enhancements from concept through implementation
- Evaluating and testing new products, often prior to general availability, and automating evaluations to identify design issues
- Working closely with engineering and infrastructure teams to understand impacts of new software platform enhancements
- Leading research and development efforts to identify emerging cloud, hardware, and software technologies
- Serving as top-tier escalation for complex issues
- Conducting cross-domain root cause analysis for complex infrastructure issues across database, OS, networking, and hardware layers
The solutions you architect will power ServiceNow's platform, including large-scale application and database deployments, customer analytics, fleet telemetry, and AI workloads.
REQUIREMENTS:
- Experience leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving (using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact)
- 12 years of related experience with a Bachelor's degree in Computer Information Systems (CIS), Management Information Systems (MIS), Computer Science (CS), Computer Engineering (CE), Electrical Engineering (EE), or related field; OR 8 years and a Master's degree; OR a PhD with 5 years experience; OR equivalent experience
- 10+ years evaluating, cost-modeling, and implementing new datacenter technologies, including managing multi-vendor RFPs
- 10+ years profiling and evaluating Linux and database performance
- 7+ years hands-on with AWS, Azure, or GCP (compute, storage, networking, managed databases, cost optimization)
- 3+ years with Kubernetes and containerized infrastructure at production scale
- Proven ability to lead complex transformation initiatives across multiple organization units
- Thought leader and mentor with proven force-multiplier impact
- Excellent communication and customer skills, conflict management, and interpersonal skills; ability to communicate at a level appropriate to the audience
