Solutions Support Engineer
Posted 23 Sep 2026
Advertised as “Senior Solutions Support Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
- Employment
- Remote
- Visa sponsorship
- Not offered
No salary listed for this role.
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!
Minimum Qualifications:
- 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
Preferred Qualifications
- Experience with vulnerability management, SBOM/SCA analysis, or CVE triage workflows