Cloud Solution Architect
MathWorks · Natick, MA · 1 wk ago
HybridEngineeringFull-time
Responsibilities
- Own the technical onboarding journey for Private Cloud customers—from discovery through implementation readiness and go-live.
- Lead technical discovery workshops to understand customer requirements across identity, security, networking, integrations, compliance needs, and operational constraints.
- Create and communicate end-to-end solution designs, including diagrams and written guidance that make complex systems understandable to technical and non-technical stakeholders.
- Partner with MATLAB and Simulink Application Engineers (AEs) to ensure application-level onboarding is aligned to the target architecture and customer success criteria.
- Collaborate cross-functionally with product management, engineering, security, and operations to unblock onboarding, improve repeatability, and influence roadmap priorities.
- Help scale Private Cloud adoption by building reusable onboarding patterns, reference architectures, and playbooks.
Qualifications
- A bachelor's degree and 10 years of professional work experience (or equivalent experience) is required.
- Experience in cloud architecture and enterprise systems (AWS, Azure and/or comparable platforms).
- Strong understanding of enterprise security and identity concepts (e.g., SSO, IAM, authentication/authorization patterns), plus networking and system integration fundamentals.
- Demonstrated success in a customer-facing technical role (e.g., Solutions Architect, Technical Program Manager, Implementation Architect, Customer Engineer) leading complex onboarding or adoption projects.
- Ability to translate business goals and technical requirements into practical designs and implementation plans—and communicate tradeoffs clearly.
- Strong cross-team collaboration skills and comfort operating in a fast-moving environment with multiple stakeholders.
- Experience with private cloud / isolated environments, regulated workloads, or compliance-driven deployments.
- Familiarity with Kubernetes ecosystems, infrastructure as code, observability/monitoring, and operational readiness practices.
- Background in platform engineering, developer platforms, CI/CD, or supporting technical computing / engineering workflows.