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 — ServiceNow 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

PLATFORM AUTOMATION & DEVELOPER EXPERIENCE

• Implement automated scaling and resource management across cloud providers.
• Establish Cloud Development Environment (CDE) platform using Coder to provision on-demand development workspaces via Terraform templates for global distributed teams, with enterprise compliance and cost optimization.

PREFERRED QUALIFICATIONS

• Data engineering background with modern data stack technologies
• Service mesh experience with Istio, Linkerd, or cloud-native solutions
• Enterprise platform experience at Fortune 500 companies
• Global team leadership across multiple time zones
• SRE certification or formal training from Google, AWS, or similar programs
• Chaos engineering experience with tools like Chaos Monkey, Litmus, or Gremlin
• Open-source contributions to DevOps, Kubernetes, or SRE tools
• Multi-cloud certifications (AWS Solutions Architect, Google Cloud Architect, Azure Architect, CKA/CKAD, Terraform Associate)
• Performance engineering experience with large-scale distributed systems

ROLE

We are building a modern, secure, and highly scalable multi-cloud data platform infrastructure powering next-generation analytics to support ServiceNow’s Cloud and AI growth. As our Senior Staff DevOps Engineer for Cloud Analytics & FinOps Engineering Platform, you will architect, secure, and operationalize our hybrid cloud data platform infrastructure spanning AWS, GCP, Azure, and on-premises systems. You will have
ownership over CI/CD pipelines, infrastructure-as-code, platform security, cost optimization, observability, and data source integrations across our complex ecosystem while navigating ServiceNow’s enterprise infrastructure standards and compliance requirements.
This is a unique opportunity to build enterprise-grade platform infrastructure from the ground up, establish DevOps best practices for modern data platforms, and work within a Fortune 500 enterprise environment with global scale requirements.

TO BE SUCCESSFUL IN THIS ROLE YOU HAVE:

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry.
• 10+ years of DevOps/Platform engineering experience with large-scale distributed systems in enterprise environments
• Expert-level Kubernetes knowledge across multiple cloud providers (EKS, GKE, AKS) including service mesh and cluster management
• Multi-cloud expertise across AWS, GCP, and Azure with deep understanding of platform strengths and cost models
• Advanced Infrastructure-as-Code experience with Terraform, CloudFormation, and AWS CDK
• Proven CI/CD pipeline management using GitHub Actions, Jenkins, Argo CD, and GitOps workflows in enterprise environments
• Strong security background with cloud security best practices and compliance frameworks (SOC2, FedRAMP)
• Expertise in network security for cloud and Kubernetes environments, including VPC design, zero-trust networking, security policies, firewall rules, VPNs, and intrusion detection/prevention systems
• Enterprise navigation skills with large organization processes and cross-team collaboration
• Bachelor’s degree in Computer Science, Engineering, or related technical field
• Full professional proficiency in English