Solutions Support Engineer

This is a fully remote position, open to applicants in Ireland.

📋 Description

• Investigate and address customer technical issues related to cloud security posture management, vulnerability scanning, threat detection, container/Kubernetes security, identity & access management, network analysis, and data security.

• Troubleshoot failures in cloud connector and integrations across AWS, Azure, GCP, OCI, and SaaS platforms, including IAM/permissions challenges, network connectivity, API authentication, and scanning infrastructure.

• Diagnose issues with workload scanning and runtime security, encompassing outpost deployment, sensor configuration, registry scanning, malware detection, and file integrity monitoring.

• Analyze vulnerability findings by triaging false positives, validating detection accuracy, investigating SBOM/SCA results, and evaluating secret detection and patch management coverage.

• Support shift-left security workflows involving 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 for support coverage during after-hours, holidays, and weekends.

⛳️ Requirements

• A minimum of 5 years of hands-on technical experience in customer support, technical support, system administration, or a similar 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.

• A strong understanding of cloud security fundamentals, including 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 in using command-line tools and working within Linux operating system environments.

• Familiarity with the current AI landscape, including LLM architectures and the incorporation of AI-driven tools into technical workflows.

• Experience in vulnerability management, SBOM/SCA analysis, or CVE triage workflows (Nice to Have).

• Practical experience with threat detection, runtime security, or SIEM/SOAR integrations (Nice to Have).

• Experience in building or supporting agentic workflows, RAG architectures, or AI-powered automation (Nice to Have).

• Familiarity with Infrastructure-as-Code (Terraform, CloudFormation, Helm) and CI/CD pipelines (Nice to Have).

• Experience with GraphQL or REST API debugging and integration (Nice to Have).

• A background in compliance frameworks such as CIS, NIST, SOC2, PCI-DSS, or HIPAA (Nice to Have).

• Experience using ServiceNow, Jira, or Zendesk in a support engineering context (Nice to Have).

🏝️ Benefits

• Applicants must possess the legal right to work in the country where the position is located.

• Wiz is an equal opportunity employer. We do not discriminate based on 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.