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Wiz is a fast-growing cloud-native security platform company (recently acquired by Google) that enables teams to secure cloud and AI applications by connecting code, cloud, and runtime into a single shared context. The company is trusted by over 65% of the Fortune 100 and scans over 230 billion files daily.
As a Solutions Support Engineer, you will be part of a global team delivering expert-level technical support across the Wiz platform. You'll investigate and resolve complex, multi-domain technical issues spanning cloud infrastructure, workload protection, vulnerability management, and runtime defense 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.
Key responsibilities include:
- 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, and assess SBOM/SCA results
- Support shift-left security workflows including CI/CD scanning, IaC security, admission controllers, and code scanning
- Design and implement automation that scales the support offering using AI agents and agentic workflows 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 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 integration of AI-driven tooling into technical workflows
Preferred qualifications include: vulnerability management or SBOM/SCA analysis experience, threat detection or SIEM/SOAR integrations, experience with agentic workflows or RAG architectures, Infrastructure-as-Code tools (Terraform, CloudFormation, Helm), GraphQL or REST API debugging, compliance frameworks (CIS, NIST, SOC2, PCI-DSS, HIPAA), and ServiceNow/Jira/Zendesk experience.
