Senior Partner Solutions Architect – GSI

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate in designing joint security solutions with leading Global Systems Integrators.

• Integrate the Wiz Security Graph and agentless architecture into digital transformation initiatives and advanced AI ecosystems.

• Design solutions that encompass AI-SPM, autonomous agentic workflows, MCP, eBPF runtime security, and multi-cloud graph analytics.

• Create scalable technical blueprints for GSI MSP, MDR, and offerings related to AI threat detection, response, and remediation.

• Position Wiz as the primary security layer within reference architectures for cloud migration, application modernization, and AI transformation.

• Engage with GSI CTOs, CISOs, and practice leaders as a reliable technical advisor.

• Assist executive teams in navigating complex multi-cloud security environments.

• Develop train-the-trainer bootcamps and practical technical challenges for GSI architects and consultants.

• Convert GSI requirements into actionable product specifications and collaborate with R&D.

• Represent Wiz at partner summits, lead technical discussions, and co-author technical whitepapers.

⛳️ Requirements

• Over 5 years of practical experience in cloud security architecture across AWS, Azure, GCP, or OCI.

• Experience working directly with or in proximity to Global Systems Integrators.

• Familiarity with matrixed partner organizations and service monetization strategies.

• Advanced skills in Terraform, CloudFormation, or Ansible.

• Experience incorporating security control frameworks into Infrastructure as Code (IaC) deployments.

• Hands-on experience in implementing Shift Left guardrails within CI/CD pipelines.

• Familiarity with GitHub Actions, GitLab, or Jenkins.

• Experience in linking cloud security telemetry to Splunk, Cortex XSOAR, or Microsoft Sentinel.

• Capability to articulate complex technical risks into strategic narratives suitable for engineers and C-level executives.

• Candidates must possess the legal right to work in the United States without visa sponsorship.

• Preferred qualifications include experience in AI/ML pipeline security, shadow AI discovery, AWS Bedrock, GCP Vertex AI, OpenAI, Anthropic, autonomous AI agents, agentic workflows, MCP, zero-trust access boundaries, runtime guardrails, generative AI, container security, Kubernetes, eBPF, DSPM, regulated-industry security architectures, HIPAA, PCI-DSS, FedRAMP, and relevant certifications.

🏝️ Benefits

• Bonus

• Equity

• Benefits

• Google benefits (details available via the linked benefits page)