Quantiphi
Cloud Architect
Canada - Remote · Senior
Sponsorship not specifiedDetected 30 days ago
SnowflakeAWSGCPAzureCloud PlatformsDockerKubernetesTerraformCI/CDMachine LearningLLMsAgentic AICybersecurityNetwork SecurityExcelResearchLeadershipCommunication
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odds of building a lasting career here
40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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Files H-1B transfers
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About the role
- Technical Assessment: Conduct comprehensive assessments of the existing on-premise VMware infrastructure to identify architectural challenges, inter-dependencies, and potential migration risks, providing expert recommendations for mitigation.
- Architecture & Governance: Establish and govern a set of cloud architecture principles and migration best practices.
- Migration Execution: Actively participate in and oversee the hands-on execution of migrating virtual machines and complex application workloads to the designated public cloud platforms (ROSA, AWS, Azure, GCP).
Responsibilities
- Lead strategic discussions with client stakeholders to define the end-to-end migration roadmap, including target state architecture, cloud platform selection, and integration patterns.
- Author and maintain technical design documents that enforce security, scalability, and operational excellence.
- Security & Network Design:
- Design and implement robust cloud network and security frameworks, integrating solutions like Palo Alto to protect migrated workloads and ensure seamless connectivity between on-premise and cloud environments.
- Strategic Leadership: Lead strategic discussions with client stakeholders to define the end-to-end migration roadmap, including target state architecture, cloud platform selection, and integration patterns.
- Architecture & Governance: Establish and govern a set of cloud architecture principles and migration best practices. Author and maintain technical design documents that enforce security, scalability, and operational excellence.
- Security & Network Design: Design and implement robust cloud network and security frameworks, integrating solutions like Palo Alto to protect migrated workloads and ensure seamless connectivity between on-premise and cloud environments.
- 21 Google Cloud Partner of the Year awards in the past 10 years
- 3 AWS AI/ML Partner of the Year awards
- 3 NVIDIA Partner of the Year awards
Requirements
- Expert-level knowledge of containerization technologies (e.g., Docker, Kubernetes) and container orchestration platforms, with specific experience in OpenShift Container Platform and container migration strategies.
- Strong proficiency in designing and implementing cloud network security controls, with specific experience using Palo Alto Networks solutions in a cloud context.
- Excellent communication and consulting skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
Nice to have
- Professional-level cloud certifications (e.g., AWS Certified Solutions Architect - Professional, Azure Solutions Architect Expert, Google Professional Cloud Architect).
- Experience with Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation.
- Proven expertise in architecting CI/CD pipelines, automating application deployments, and orchestrating cloud infrastructure provisioning.
- What's in it for YOU at Quantiphi?
- Join one of the world's fastest-growing AI-first digital engineering companies and make a real impact at scale.
- Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents.
- Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.
- If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Company info
- We are also proud to be certified as a Great Place to Work -reflecting our commitment to our people and our culture.
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This listing is sourced directly from Quantiphi's careers page and normalized into a canonical job model.