Solutions Support Engineer

Remote from: Ireland
Annual salary: Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Department: Technical Support
Employment type: Full Time,
Job posted: 30 May 2026
Apply before: 30 Jun 2026
Experience level: Midweight
Views / Applies: 19 / 7

About Wiz

Wiz is a cloud security platform that helps organizations proactively identify, prioritize, and remediate risks across their cloud environments.

Computer & Network Security
2020

AI Summary

Wiz is a fast-growing cloud security startup seeking a Solutions Support Engineer to provide expert technical support for its cloud-native security platform. The role involves troubleshooting complex issues across AWS, Azure, and GCP, including cloud security posture management, vulnerability scanning, and Kubernetes security. The engineer will also design AI-driven automation to scale support operations. Ideal candidates have 5+ years of technical support experience, cloud platform expertise, and familiarity with AI tooling.

Role DNA

Job Complexity

Easy Hard

Pace & Pressure

Relaxed Fast-paced

Autonomy Level

Guided Full Ownership

Communication Load

Independent Highly Collaborative

AI Insight The role requires deep technical knowledge across multiple cloud platforms, Kubernetes, and security domains, plus experience with AI automation, making it highly demanding.

Salary Analysis

AI Insight The salary is not explicitly provided, but based on market data for a Solutions Support Engineer at a leading cloud security startup, the median is estimated at $140,000, which is competitive for the role's technical requirements and location.

Key Skills

Cloud Security Kubernetes AWS Azure GCP Technical Support Vulnerability Management Python AI Automation Linux

Cover Letter Sample

I am excited to apply for the Solutions Support Engineer position at Wiz. With over 5 years of hands-on experience in technical support and cloud infrastructure, I have developed strong troubleshooting skills across AWS, Azure, and GCP. My background includes resolving complex issues in cloud security, Kubernetes, and vulnerability management, and I have a keen interest in leveraging AI to enhance support efficiency.

At my previous role, I successfully reduced ticket resolution time by 30% through automation and improved customer satisfaction scores. I am drawn to Wiz's mission of securing cloud environments and am eager to contribute to a team that values innovation and impact.

Thank you for considering my application. I look forward to the possibility of discussing how my skills align with Wiz's goals.

Possible Interview Questions

Can you describe a time when you diagnosed and resolved a complex issue involving multiple cloud platforms?

I once helped a customer whose cross-cloud connectivity between AWS and Azure was failing due to IAM permission mismatches and VPC peering misconfigurations. I systematically traced the issue by reviewing logs, testing API calls, and collaborating with the cloud teams, ultimately resolving it by updating role policies and route tables.

How would you troubleshoot a Kubernetes workload that is failing to start due to a security policy?

I would first check the pod events and describe the pod to see any error messages. Then I would review the associated network policies, pod security policies, and RBAC configurations. I would also verify the container image scanning results and admission controller logs to identify any policy violations.

Explain how you would automate a repetitive support task using AI or scripting.

I would identify a common issue like false positive vulnerability alerts. I could build a Python script that queries the vulnerability database, cross-references with customer environment data, and uses a simple ML model to classify and triage alerts. Then I would integrate it with the ticketing system to auto-resolve or escalate.

What experience do you have with cloud security posture management tools?

I have used tools like AWS Security Hub, Azure Security Center, and Prisma Cloud to monitor and remediate misconfigurations. I regularly performed compliance checks against CIS benchmarks and automated remediation using Terraform and CloudFormation.

How do you stay updated with the rapidly evolving cloud security landscape?

I follow industry blogs, attend webinars, and participate in forums like AWS re:Post. I also experiment with new services in personal labs and hold certifications like AWS Security Specialty and Certified Kubernetes Security Specialist.

Come join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the fastest-growing startup ever, Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent.

Our Wizards from over 20 countries work together to protect the infrastructure of our hundreds of customers, including over 50% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We’re the leading player in a massive and growing market, but it’s still early enough for you to make a significant impact. At Wiz, you’ll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth. Come join our team and help us create secure cloud environments that allow the best companies to move faster.

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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