Partner Solutions Architect (MSP)

Join our team as a Partner Solutions Architect (MSP) and leverage your deep hands-on experience with AWS, GCP, and/or Azure. You will play a key role in delivering complex solutions and strategic storytelling to C-level executives at technology partners. Your expertise in cloud security, systems and identity, DevSecOps, and managed services will be essential in driving technical adoption and scaling managed security offerings. Additionally, you will have the opportunity to work with emerging technologies such as AI and automation to enhance our security posture and streamline operations.

• Collaborate with technology partners to deliver complex cloud security solutions and strategic storytelling to C-level executives.
• Leverage hands-on experience with AWS, GCP, and/or Azure to drive technical adoption of managed security offerings.
• Utilize expertise in DevSecOps, supply chain security, and managed AI security to help partners package and deliver managed security posture services.

• Deep hands-on experience with AWS, GCP, and/or Azure
• 5+ Years of Cloud security expertise: Strong fluency in CSPM, CIEM, IaC security, containers, and serverless architectures
• Systems & Identity Expertise: Solid foundation in operating systems, virtual machines, container orchestration, and cloud identity (IAM, access, certificates, keys)
• Sales Engineering Excellence: Proven track record in a technical pre-sales role delivering complex solutions and strategic storytelling to C-level executives at technology partners
• DevSecOps & Supply Chain Security: Hands-on DevSecOps experience and deep familiarity with CI/CD processes, IaC tooling (Terraform, CloudFormation), and shifting security left
• Managed Services (MSP) DNA: Understanding of the MSP partner ecosystems. You know how MSPs build, price, and scale managed security offerings, manage SLAs, and drive technical adoption with internal engineering and SOC teams
• Managed AI Security & AI-SPM: Experience discovering shadow AI and securing cloud AI/ML workloads (AWS Bedrock, GCP Vertex AI, OpenAI, Anthropic) to help partners package and deliver managed AI security posture services to clients
• Agentic Workflows & AI Guardrails: Familiarity with securing autonomous AI agents, agentic workflows, and emerging standards like Model Context Protocol (MCP) to define zero-trust access boundaries and runtime guardrails across client environments
• SOC Efficiency & AI-Driven SecOps: Practical experience leveraging AI and automation to streamline multi-tenant SOC operations, accelerate incident triage, reduce alert fatigue, and automate remediation workflows
• Managed DSPM & Regulatory Compliance: Experience implementing automated data discovery, lineage, and cloud data governance frameworks tailored to client compliance requirements (HIPAA, PCI-DSS, SOC 2, FedRAMP)
• MDR & CNAPP Runtime Security: Experience with container security, eBPF, Kubernetes admission controllers, and real-time threat detection to power high-efficacy Managed Detection & Response (MDR) offerings