# Senior Solutions Support Engineer

**Company:** [Wiz](https://hotfix.jobs/companies/wiz)
**Location:** Remote
**Role:** Support Engineering
**Experience:** 5+ years
**Skills:** AWS, Microsoft Azure, GCP, Kubernetes, Linux, Python, Shell, JavaScript, Java, Go, Terraform, Cloud Security, IAM, CI/CD, REST APIs
**Posted:** 2026-08-26

> Provides expert technical support for a cloud-native security platform, troubleshooting cloud, Kubernetes, vulnerability, runtime, and identity issues while building AI-driven automation. Requires 5+ years of customer-facing technical experience, cloud expertise, production Kubernetes experience, and strong Linux and debugging skills.

## Job Description

## Responsibilities
- Investigate and resolve customer technical issues across cloud security posture management, vulnerability scanning, threat detection, container and Kubernetes security, identity and access management, network analysis, and data security.
- Troubleshoot cloud connector and integration failures across AWS, Azure, Google Cloud, OCI, and SaaS platforms, including IAM and permissions, 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, infrastructure-as-code security, admission controllers, Kubernetes connectors, and code/version-control scanning.
- Design and implement automation using AI agents, agentic workflows, and related tooling to improve triage accuracy and resolution efficiency.
- Participate in an on-call rotation covering after-hours, holiday, and weekend support.

## 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 such as AWS, Azure, or Google Cloud, including IAM, networking, VPCs, security groups, firewalls, and core compute and storage services.
- 1+ years of hands-on experience deploying, managing, and troubleshooting production Kubernetes clusters and containerized applications.
- Strong understanding of cloud security fundamentals, including identity and access management, network segmentation, compliance frameworks, and security posture assessment.
- Experience reading and debugging code in Python, Shell, JavaScript/JSON, Java, Go, or Terraform/HCL.
- Proficiency with command-line tools and Linux environments.
- Familiarity with LLM architectures and AI-driven tooling in technical workflows.

## Nice-to-haves
- Vulnerability management, SBOM/SCA analysis, or CVE triage experience.
- Threat detection, runtime security, or SIEM/SOAR integration experience.
- Experience supporting agentic workflows, RAG architectures, or AI-powered automation.
- Infrastructure-as-code experience with Terraform, CloudFormation, or Helm, and familiarity with CI/CD pipelines.
- GraphQL or REST API debugging and integration experience.
- Familiarity with CIS, NIST, SOC 2, PCI DSS, or HIPAA compliance frameworks.
- Experience with ServiceNow, Jira, or Zendesk in a support engineering context.

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