Key skills
AWSAzureCloudFirewallsGoogle Cloud PlatformGraphQLJavaJavaScriptKubernetesLinuxPythonServiceNowTerraformGoShellAILLMRAGAgenticGCPGoogle CloudHelmCloudFormationIAMREST APIVersion ControlSaaSJiraCI/CDCloud Security
About this role
Role Overview
- Investigate and resolve customer technical issues across cloud security posture management, vulnerability scanning, threat detection, container/Kubernetes security, identity & access management, network analysis, and data security
- Troubleshoot cloud connector and integration failures across AWS, Azure, GCP, OCI, and SaaS platforms
- including IAM/permissions issues, network connectivity, API authentication, and scanning infrastructure
- Diagnose workload scanning and runtime security issues including outpost deployment, sensor configuration, registry scanning, malware detection, and file integrity monitoring
- Analyze vulnerability findings
- triage false positives, validate detection accuracy, investigate SBOM/SCA results, and assess secret detection and patch management coverage
- Support shift-left security workflows including CI/CD scanning, IaC security, admission controllers, Kubernetes connectors, and code/version control scanning
- Design and implement automation that scales the support offering
- leveraging AI agents, agentic workflows, and tooling to improve triage accuracy and resolution efficiency
- Participate in on-call rotation for after-hours, holiday, and weekend support coverage
Requirements
- 5+ years of hands-on technical experience in customer support, technical support, system administration, or a related customer-facing role
- 2+ years working with cloud platforms (AWS, Azure, GCP)
- including IAM, networking (VPCs, security groups, firewalls), and core compute/storage services
- 1+ years of hands-on experience deploying, managing, and troubleshooting production Kubernetes clusters and containerized applications
- Strong understanding of cloud security fundamentals: identity and access management, network segmentation, compliance frameworks, and security posture assessment
- Experience reading and debugging code in one or more of: Python, Shell, JavaScript/JSON, Java, Go, or Terraform/HCL
- Proficiency with command-line tools and Linux operating system environments
- Familiarity with the current AI landscape, including LLM architectures and the integration of AI-driven tooling into technical workflows
- Experience with vulnerability management, SBOM/SCA analysis, or CVE triage workflows (Nice to Have)
- Hands-on experience with threat detection, runtime security, or SIEM/SOAR integrations (Nice to Have)
- Experience building or supporting agentic workflows, RAG architectures, or AI-powered automation (Nice to Have)
- Familiarity with Infrastructure-as-Code (Terraform, CloudFormation, Helm) and CI/CD pipelines (Nice to Have)
- Experience with GraphQL or REST API debugging and integration (Nice to Have)
- Background in compliance frameworks (CIS, NIST, SOC2, PCI-DSS, HIPAA) (Nice to Have)
- Experience with ServiceNow, Jira, or Zendesk in a support engineering context (Nice to Have)
Tech Stack
- AWS
- Azure
- Cloud
- Firewalls
- Google Cloud Platform
- GraphQL
- Java
- JavaScript
- Kubernetes
- Linux
- Python
- ServiceNow
- Terraform
- Go
Benefits
- Applicants must have the legal right to work in the country where the position is based
- Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.