Senior Partner Solutions Architect – GSI
Listed on 2026-10-19
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IT/Tech
AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations, Cybersecurity
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!
- 5+ Years of Cloud Security Mastery: Deep, hands-on architectural experience across AWS, Azure, GCP, or OCI, with a firm command of cloud-native security paradigms.
- GSI DNA & Ecosystem Fluency: Proven experience working inside or alongside Global Systems Integrators. You understand matrixed partner organizations, how practice leads monetize services, and how to build high-level technical champions.
- Modern Infrastructure as Code (IaC): Advanced proficiency with tools like Terraform, Cloud Formation, or Ansible. You know how to embed security control frameworks directly into IaC deployments.
- Dev Sec Ops & Supply Chain Security: Practical experience implementing “Shift Left” guardrails within high-throughput CI/CD pipelines (Git Hub Actions, Git Lab, Jenkins) to stop risk before code reaches production.
- SOC Integration & Telemetry Pipelines: Experience connecting cloud security telemetry into enterprise SIEM/SOAR platforms (Splunk, Cortex XSOAR, Microsoft Sentinel) to streamline incident response and threat detection workflows.
- High-Impact Consultative Storytelling: Ability to translate complex technical risks (like “toxic combinations” of exposure, identity, and data) into compelling strategic narratives for both hardcore engineers and C-level executives.
- Frontier AI Security & AI-SPM: Hands-on experience securing AI/ML pipelines, discovering shadow AI, and mitigating risks across frontier model platforms (e.g., AWS Bedrock, GCP Vertex AI, OpenAI, Anthropic).
- Agentic Workflows & Model Context Protocol (MCP): Familiarity with securing autonomous AI agents, agentic workflows, and emerging AI connectivity standards like Model Context Protocol (MCP). Experience establishing zero-trust access boundaries and runtime guardrails for AI agents.
- AI-Driven Automation & Sec Ops: Practical experience leveraging generative AI and agentic automation to streamline security operations, triage threats, or automate partner ecosystem integration workflows.
- CNAPP & Deep Runtime Security: Experience with container security, Kubernetes (K8s) admission controllers, eBPF, and real-time threat detection across multi-cloud workloads.
- Data Security Posture Management (DSPM): Hands-on experience with cloud data governance, automated sensitive data discovery, and data lineage across complex cloud data stores.
- Vertical Security Architectures: Architectural experience designing cloud security solutions in…
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