Cloud Solutions Architect
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-08-30
Listing for:
Kubestrive
Full Time
position Listed on 2026-08-30
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, Systems Engineer, IT Consultant, Azure
Job Description & How to Apply Below
Lead multi-cloud architecture initiatives as a top-tier solutions architect with expertise across AWS, GCP, and Azure. Design and implement enterprise-grade cloud solutions.
About this role About the RoleWe are looking for a world-class Cloud Solutions Architect with deep expertise across the top three cloud platforms:
AWS, Google Cloud, and Microsoft Azure
. You will lead the design of our multi-cloud strategy and help enterprise clients navigate complex cloud transformations.
As our Cloud Solutions Architect, you will be the technical authority on all cloud architecture decisions, working closely with clients and internal teams to deliver innovative solutions.
Requirements- 8+ years of experience in cloud architecture and engineering
- Expert-level certifications in at least 2 of: AWS (Solutions Architect Professional), GCP (Professional Cloud Architect), Azure (Solutions Architect Expert)
- Proven track record designing multi-cloud architectures for enterprise scale
- Deep understanding of cloud cost optimization and Fin Ops practices
- Experience with containerization and Kubernetes across cloud providers
- Experience with cloud security frameworks and compliance (SOC2, GDPR, HIPAA)
- Design and implement multi-cloud architectures for enterprise clients
- Lead technical discovery and solution design workshops
- Develop cloud migration strategies and modernization roadmaps
- Create reference architectures and technical documentation
- Mentor engineering teams on cloud best practices
- Drive cloud partnerships and maintain relationships with cloud providers
- Evaluate and recommend emerging cloud technologies
- All three major cloud certifications at professional/expert level
- Experience with cloud-native data platforms (Snowflake, Databricks)
- Knowledge of AI/ML services across cloud platforms
- Background in consulting or professional services
- Highly competitive US market salary
- Annual cloud certification and training budget
- Flexible hybrid work from San Francisco office
- Stock options and performance bonuses
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