
Senior Solutions Support Engineer
Posted Aug 27

Posted Aug 27
This is a fully remote position, open to applicants in Ireland.
• Investigate and resolve technical customer issues related to cloud security posture management, vulnerability scanning, threat detection, container/Kubernetes security, identity and access management, network analysis, and data security.
• Troubleshoot failures in cloud connectors and integrations across AWS, Azure, GCP, OCI, and SaaS platforms, addressing IAM/permissions issues, network connectivity, API authentication, and scanning infrastructure.
• Diagnose issues related to workload scanning and runtime security, 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 evaluate secret detection and patch management coverage.
• Support shift-left security workflows such as CI/CD scanning, IaC security, admission controllers, Kubernetes connectors, and code/version control scanning.
• Design and implement scalable automation for support offerings, utilizing AI agents, agentic workflows, and tools to enhance triage accuracy and resolution efficiency.
• Participate in an on-call rotation to provide after-hours, holiday, and weekend support coverage.
• Deliver expert-level technical support for the Wiz cloud-native security platform as a member of a global team.
• A minimum of 5 years of hands-on technical experience in customer support, technical support, system administration, or a related customer-facing role.
• At least 2 years of experience working with cloud platforms (AWS, Azure, GCP), including IAM, networking (VPCs, security groups, firewalls), and essential compute/storage services.
• Over 1 year of hands-on experience in deploying, managing, and troubleshooting production Kubernetes clusters and containerized applications.
• Strong grasp of cloud security fundamentals: identity and access management, network segmentation, compliance frameworks, and security posture assessment.
• Experience in reading and debugging code in one or more languages such as 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 tools into technical workflows.
• Experience in vulnerability management, SBOM/SCA analysis, or CVE triage workflows.
• Hands-on experience with threat detection, runtime security, or SIEM/SOAR integrations.
• Experience in building or supporting agentic workflows, RAG architectures, or AI-enabled 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 such as CIS, NIST, SOC2, PCI-DSS, or HIPAA.
• Experience using ServiceNow, Jira, or Zendesk within a support engineering context.
• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Flexible working hours and remote work options.
• Opportunities for professional development and training.
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