Senior Solutions Support Engineer

Responsibilities

• Design and implement automation that scales the support offering - leveraging AI agents, agentic workflows, and tooling to improve triage accuracy and resolution efficiency

Requirements

• 5+ years of hands-on technical experience in customer support, technical support, system administration, or a related customer-facing role
• 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

Preferred

• 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

Minimum Qualifications

• 2+ years working with cloud platforms (AWS, Azure, GCP) - including IAM, networking (VPCs, security groups, firewalls), and core compute/storage services
• 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

About the job

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

Participate in on-call rotation for after-hours, holiday, and weekend support coverage

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

Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

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