Senior Software Engineer, DevOps - Moveworks (DevSecOps)

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

Responsibilities

Responsible for vulnerability management and security automation across the Moveworks AI cloud infrastructure and developer platform; Closely work with platform, machine learning, search, data, and frontend teams to understand their security and infrastructure needs, and execute on DevSecOps roadmap initiatives; Triage and drive remediation of findings from SAST, dependency, and container vulnerability scans across multi-cloud infrastructure, including AWS and Azure environments; Implement and tune policy-as-code guardrails for Kubernetes and infrastructure-as-code, closing gaps identified through audits and scans; Support secrets management operations, identity federation (IRSA on AWS, Managed Identity/Workload Identity on Azure), and least-privilege access patterns across the environment; Build and manage CI/CD pipeline security controls (artifact signing, build provenance, dependency pinning) as part of the broader infrastructure-as-code and automation stack; Support replatformization efforts extending infrastructure and security controls to Azure and other hyperscaler environments, including AKS cluster security posture; Work closely with the security team on compliance automation, evidence collection, and audit readiness as ServiceNow's controls are adopted

Requirements

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.; 3-5 years of experience in DevOps, Platform, or Security Engineering; Hands-on technical contributor with a strong sense of ownership, able to work through vulnerability findings and remediation from triage to closure; Working knowledge of AWS infrastructure, including IAM roles, security groups, and core networking (VPC, DNS); Working knowledge of, or strong interest in, Azure infrastructure and security services (Azure AD/Entra ID, Azure Key Vault, Network Security Groups, Azure Policy, Microsoft Defender for Cloud); Experience with vulnerability scanning and security tooling: SAST, container/image scanning, dependency scanning, SBOM generation, across AWS and/or Azure; Experience with Kubernetes cluster fundamentals and workload security, exposure to both EKS and AKS is a plus; Working knowledge of secrets management, encryption, certificate management, and related security practices across cloud providers; Comfortability with tools such as Terraform, Vault, OPA/Kyverno, Jenkins, ArgoCD/Flux, Helm; Scripting proficiency in Python, Bash, or Go for automating repetitive security and operations tasks; An appetite for working at a startup pace on challenging problems with a high degree of ownership