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Cloud Architect

Job in Town of Vermont, Vermont, Dane County, Wisconsin, USA
Listing for: Servicenow
Full Time position
Listed on 2026-03-11
Job specializations:
  • IT/Tech
    Cloud Computing, Systems Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Staff Cloud Architect
Location: Town of Vermont

Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — Service Now stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.

But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

About the Role We are seeking an experienced Multi-Cloud Architect with a strong systems administration foundation to design, implement, and optimize our cloud infrastructure across Azure and GCP. This role bridges technical depth with strategic architecture, requiring both hands‑on expertise and the ability to envision enterprise‑scale solutions in a multi‑cloud environment.

You will have the opportunity to architect solutions across leading cloud platforms, in a collaborative environment with continuous learning and exposure to diverse technologies, and pursue professional development, including certifications and training across multiple cloud providers, access to multi‑cloud labs, and sandbox environments.

This position requires someone who can think architecturally across cloud platforms while maintaining the practical troubleshooting mindset that comes from systems administration experience—someone who understands both the "what" and the "how" of multi‑cloud infrastructure and can make informed decisions about when to use each platform's strengths.

Key Responsibilities
  • Design and implement cloud architectures across Azure and GCP, focusing on scalability, security, and cost optimization.
  • Guide cloud migration initiatives, translating on‑premises workloads into cloud‑native or hybrid solutions.
  • Develop infrastructure-as-code solutions using Terraform or cloud‑specific tools (ARM templates, Deployment Manager, Cloud Formation).
  • Have an automation mindset, use Dev Ops tools and processes, to prioritize programmatic implementations
  • Enhance workflows with Gen AI and Agentic AI, and integrate with the Service Now platform
  • Implement governance frameworks, including Azure Policy, GCP Organization Policies, and AWS Service Control Policies.
  • Design disaster recovery and business continuity strategies across multiple cloud providers and regions.
  • Collaborate with security teams to implement Zero Trust architectures and compliance requirements across cloud platforms.
  • Develop cloud‑agnostic solutions where appropriate, and cloud‑specific optimizations where beneficial.
  • Mentor engineering teams on multi‑cloud best practices and emerging technologies.
  • Optimize cloud spend through rightsizing, committed use discounts, reserved instances, and architectural improvements.
Qualifications

Required Qualifications
  • Eight or more years of hands‑on Azure experience across compute, networking, storage, and identity services.
  • Five or more years of GCP experience with core services including Compute Engine, Cloud Functions, Cloud Storage, and VPC networking.
  • One or more years of AWS administration experience with EC2, S3, VPC, IAM, and service management.
  • Good understanding of cloud networking, including private connectivity, hybrid architectures, and cross‑cloud communication patterns.
  • Strong knowledge of AI‑based implementations to collaborate and design GenAI‑ and Agentic

    AI‑based solutions for internal requirements.
  • Proficiency in scripting languages, including Power Shell, Python, and Bash for automation.
  • Be able to prioritize deployments using IAC, and integrate workflows with the Service Now platform
  • Experience with monitoring and observability tools across platforms (Azure Monitor, Cloud Operations Suite, Cloud Watch).
  • Deep understanding of identity and access management using Entra , Google Cloud Identity, and AWS IAM.
  • Hands‑on experience with deploying PaaS services across clouds (Cosmos DB, Postgre

    SQL DB, Azure OpenAI, Redis Cache, Azure App Service/Functions, Cloud Run/Functions).
  • Knowledge of…
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