wiz.io - Solutions Support Engineer
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 • Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship.
Responsibilities
• 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
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