This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
As a Solutions Support Engineer, you will be part of a global team delivering expert-level technical support across the Wiz cloud-native security platform. You'll investigate complex, multi-domain issues spanning cloud infrastructure, workload protection, vulnerability management, and runtime defense - working across AWS, Azure, and GCP environments. This role combines deep technical troubleshooting with a growing emphasis on AI-driven automation to scale support operations and improve resolution quality.
Job Responsibility:
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
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
Nice to have:
Experience with vulnerability management, SBOM/SCA analysis, or CVE triage workflows
Hands-on experience with threat detection, runtime security, or SIEM/SOAR integrations
Experience building or supporting agentic workflows, RAG architectures, or AI-powered automation
Familiarity with Infrastructure-as-Code (Terraform, CloudFormation, Helm) and CI/CD pipelines
Experience with GraphQL or REST API debugging and integration
Background in compliance frameworks (CIS, NIST, SOC2, PCI-DSS, HIPAA)
Experience with ServiceNow, Jira, or Zendesk in a support engineering context