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Solutions Support Engineer

Wiz -
Remote

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Job details

7 days ago

Qualifications

Jira
CI/CD
Azure
Go
Law
Kubernetes
Triage
Google Cloud Platform
Technical support
Java
Master's degree
AWS
Zendesk
JavaScript
Terraform
REST
ServiceNow
SIEM
Linux
JSON
GraphQL
AI
Python
Debugging

Full job description

Remote - Ireland | Support

Come join the organization that is redefining security for the AI era. As one of the fastest-growing startups ever, we enable teams to secure cloud and AI applications by connecting code, cloud, and runtime into a single shared context. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Not to mention, we're now powered by Google, meaning we offer our customers an AI-powered platform that harnesses Google’s Threat Intelligence and Security Operations to better detect, prevent, and respond to threats across all environments, allowing for further innovation.

Our Wizards from all over the globe work together to protect the infrastructure of our customers, including over 65% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We’re honored to be a leading player in a massive and growing market, and we continue to look for exceptional Wizards who are eager to make a significant impact on our team. At Wiz, you’ll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our momentous growth. Come join our team and help us create secure cloud environments that allow even the best companies to move faster, all while having some fun!

Summary

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.

What You'll Do

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

What You'll Bring

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 (AWS, Azure, GCP) - including IAM, networking (VPCs, security groups, firewalls), and core compute/storage services
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
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

Nice to Have

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

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.

By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.

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quality/failure analysis jobs

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