Solutions Support Engineer

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.

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

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; Legal right to work in Ireland without visa sponsorship

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