ServiceNow
Senior Staff Cloud Architect
$191K–$334K
Kirkland, Washington, United States · Hybrid · Senior Staff · Full-time · Posted Sep 10, 2026
- Experience
- 12 years with a Bachelor's degree; or 8 years with a Master's degree; or a PhD with 5 years' experience; or equivalent experience. Also requires 10+ years in datacenter technology evaluation and implementation, 10+ years in Linux and database performance, 7+ years with AWS, Azure, or GCP, and 3+ years with Kubernetes and production-scale containerized infrastructure.
- Education
- 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 Master's degree; or PhD; or equivalent experience.
- Visa sponsorship
- Employment is contingent on obtaining any export license or other government approval required for access to controlled technology.
About the job
Leads enterprise-scale cloud and hardware architecture across private, sovereign, and public cloud environments, ensuring performance, security, and cost efficiency.
What you'll do
- Architect cloud solutions and drive hardware enhancements from concept through implementation, evaluating their performance, security, and capacity impacts.
- Benchmark and validate emerging technologies, products, and architectural patterns; automate evaluations and work with vendors to resolve design issues.
- Lead complex infrastructure escalations and cross-domain root-cause investigations across database, OS, networking, and hardware layers.
What they ask for
- 10+ years evaluating, cost-modeling, and implementing 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; 3+ years with Kubernetes and containerized infrastructure at production scale.
- Proven ability to lead complex transformation initiatives across multiple organization units.
Pay
$190,900 - $334,100 USD base pay
Tools
AWS, Azure, GCP, Linux, Kubernetes
AI focus
Requires experience critically considering how to integrate AI into work processes, decision-making, or problem-solving, such as using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's impact.
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