Senior Solutions Support Engineer
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Job Description
Solutions Support Engineer troubleshooting Wiz’s cloud-native security platform across AWS, Azure, and GCP. Building AI-driven automation to improve support triage and resolution efficiency.
Responsibilities:
- Investigate and resolve customer technical issues across cloud security posture management, vulnerability scanning, threat detection, container/Kubernetes security, identity and 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
- Deliver expert-level technical support across the Wiz cloud-native security platform as part of a global team
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
- 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
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