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Wiz Logo Wiz · IT - Software Development

Solutions Support Engineer

India · Job Posted May 30, 2026
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Job Description

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
  • 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

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
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