Solutions Support Engineer

Wiz Wiz · Enterprise · India · Support

Solutions Support Engineer role focused on technical support for a cloud-native security platform, with an emphasis on AI-driven automation to scale support operations and improve resolution quality.

What you'd actually do

  1. 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
  2. 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
  3. Diagnose workload scanning and runtime security issues including outpost deployment, sensor configuration, registry scanning, malware detection, and file integrity monitoring
  4. Analyze vulnerability findings - triage false positives, validate detection accuracy, investigate SBOM/SCA results, and assess secret detection and patch management coverage
  5. Support shift-left security workflows including CI/CD scanning, IaC security, admission controllers, Kubernetes connectors, and code/version control scanning
  6. Design and implement automation that scales the support offering - leveraging AI agents, agentic workflows, and tooling to improve triage accuracy and resolution efficiency
  7. Participate in on-call rotation for after-hours, holiday, and weekend support coverage

Skills

Required

  • Customer support
  • Technical support
  • System administration
  • Cloud platforms (AWS, Azure, GCP)
  • IAM
  • Networking
  • Kubernetes
  • Containerized applications
  • Cloud security fundamentals
  • Python
  • Shell
  • JavaScript/JSON
  • Java
  • Go
  • Terraform/HCL
  • Command-line tools
  • Linux
  • AI landscape familiarity
  • LLM architectures
  • AI-driven tooling integration

Nice to have

  • Vulnerability management
  • SBOM/SCA analysis
  • CVE triage
  • Threat detection
  • Runtime security
  • SIEM/SOAR integrations
  • Agentic workflows
  • RAG architectures
  • AI-powered automation
  • Infrastructure-as-Code (Terraform, CloudFormation, Helm)
  • CI/CD pipelines
  • GraphQL
  • REST API debugging
  • Compliance frameworks (CIS, NIST, SOC2, PCI-DSS, HIPAA)
  • ServiceNow
  • Jira
  • Zendesk

What the JD emphasized

  • 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