Support Engineer (Solutions Support)

Wiz; Ireland; On-site; EUR 70,000 - 95,000; Full time

Job summary

Wiz is seeking a Solutions Support Engineer to provide expert-level technical support for the Wiz cloud-native security platform. You will investigate complex issues spanning cloud infrastructure, workload protection, vulnerability management, and runtime defense across AWS, Azure, and GCP.

You will combine deep technical troubleshooting with AI-driven automation to scale operations, resolve alerts, and improve overall resolution quality, including on-call responsibilities as part of a global

Qualifications

• 1+ years deploying and troubleshooting production Kubernetes clusters.
• Experience across AWS, Azure, GCP and cloud security fundamentals.
• Hands-on with vulnerability management, CI/CD scanning, and IaC security.
• Familiarity with AI-driven tooling and automation in support workflows.
• Experience with incident response, on-call rotation, and cross-domain troubleshooting.

Responsibilities

• Investigate and resolve complex cloud security issues across multi-domain environments.
• Troubleshoot cloud connectors, IAM, networking, and API authentication for cloud platforms.
• Analyze vulnerability findings, SBOM/SCA results, and patch management coverage.
• Support shift-left security in CI/CD pipelines and IaC scanning.
• Design automation to scale the support offering using AI agents and workflows.
• Participate in after-hours on-call rotations.

Skills

Kubernetes

Cloud security

AI-driven automation

On-call experience

Tools

AWS

Azure

GCP

Terraform

CI/CD pipelines

Jira

ServiceNow

Grafana/SIEM/SOAR

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
• 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

1+ years of hands-on experience deploying, managing, and troubleshooting production Kubernetes clusters and containerized applicationsExperience reading and debugging code in one or more of: Python, Shell, JavaScript/JSON, Java, Go, or Terraform/HCL5+ years of hands-on technical experience in customer support, technical support, system administration, or a related customer-facing roleProficiency with command-line tools and Linux operating system environmentsStrong understanding of cloud security fundamentals: identity and access management, network segmentation, compliance frameworks, and security posture assessmentFamiliarity with the current AI landscape, including LLM architectures and the integration of AI-driven tooling into technical workflows2+ years working with cloud platforms (AWS, Azure, GCP) - including IAM, networking (VPCs, security groups, firewalls), and core compute/storage servicesExperience with vulnerability management, SBOM/SCA analysis, or CVE triage workflowsHands-on experience with threat detection, runtime security, or SIEM/SOAR integrationsExperience building or supporting agentic workflows, RAG architectures, or AI-powered automationFamiliarity with Infrastructure-as-Code (Terraform, CloudFormation, Helm) and CI/CD pipelinesExperience with GraphQL or REST API debugging and integrationExperience with ServiceNow, Jira, or Zendesk in a support engineering contextBackground in compliance frameworks (CIS, NIST, SOC2, PCI-DSS, HIPAA)