Overview
Lead the technical strategy for joint security offerings with top-tier Global Systems Integrators, co-architecting Wiz-powered solutions for cloud, AI, and digital transformation engagements.
What you'll do
- Architect scalable technical blueprints for GSI MSP, MDR, and AI threat detection, response, and remediation offerings powered by Wiz.
- Partner with GSI practice leads to integrate Wiz as the default security layer in Cloud Migration, App Modernization, and AI transformation reference architectures.
- Engage GSI CTOs, CISOs, and Practice Leaders as a trusted peer and guide executive teams through complex multi-cloud ecosystems (CSPM, DSPM, AI-SPM, CWP) to inspire top-down adoption.
- Build advanced train-the-trainer bootcamps and hands-on technical challenges that empower GSI architects and consultants to implement and manage Wiz.
- Translate the multi-tenancy and massive scale requirements of top GSIs into actionable product requirements and partner directly with R&D.
- Represent Wiz at key partner summits, lead high-profile technical sessions, and co-author technical whitepapers.
What you'll need
- 5+ years of deep, hands-on architectural experience across AWS, Azure, GCP, or OCI, with a firm command of cloud-native security paradigms.
- Proven experience working inside or alongside Global Systems Integrators, including understanding of matrixed partner organizations, how practice leads monetize services, and how to build high-level technical champions.
- Advanced proficiency with Infrastructure as Code tools such as Terraform, CloudFormation, or Ansible, including embedding security control frameworks into IaC deployments.
- Practical experience implementing Shift Left guardrails within high-throughput CI/CD pipelines (GitHub Actions, GitLab, Jenkins).
- Experience connecting cloud security telemetry into enterprise SIEM/SOAR platforms (Splunk, Cortex XSOAR, Microsoft Sentinel).
- Ability to translate complex technical risks (such as toxic combinations of exposure, identity, and data) into compelling strategic narratives for both engineers and C-level executives.
Nice to have
- 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).
- Familiarity with securing autonomous AI agents, agentic workflows, and emerging AI connectivity standards such as Model Context Protocol (MCP), including zero-trust access boundaries and runtime guardrails for AI agents.
- Practical experience leveraging generative AI and agentic automation to streamline security operations, triage threats, or automate partner ecosystem integration workflows.
- Experience with container security, Kubernetes admission controllers, eBPF, and real-time threat detection across multi-cloud workloads.
- Hands-on experience with cloud data governance, automated sensitive data discovery, and data lineage across complex cloud datastores (DSPM).
- Architectural experience designing cloud security solutions in regulated domains (Financial Services, Healthcare, Public Sector) under frameworks such as HIPAA, PCI-DSS, or FedRAMP.
- Certifications: AWS Certified Security – Specialty, GCP Professional Cloud Security Engineer, Azure Security Engineer Associate, CKA, or CKAD.
Details
- Location: Remote, USA.
- Full-time position.
- Applicants must have the legal right to work in the country where the position is based; no visa sponsorship is offered.
Read the full description and apply on the company’s own careers page.