Please go through below job description and share with me suitable profiles.
Position: Architect a cloud compute platform based on SPIFFE
Location: San Jose, CA
Required Skills
Architect a cloud compute platform based on SPIFFE? Perform SRE roles including deployment, capacity management, observability, and performance tuning? Collaborate with our Security Architecture team to define attestation for a variety of workloads spanning multiple compute platforms? Support engineering teams who will be onboarding to this new service”
“SPIFFE – Experience SPIRE – Experience Multiple Cloud Experience Kubernetes Deep Knowledge base of Development Identity Service Experience? Proficiency in operating and supporting cloud-based services using IaC (infrastructure as code, Terraform)? Proven experience as a systems administrator or service reliability engineer ? Experience with CI/CD processes and source control mechanisms (GitHub) ? Solid understanding of cryptography including x509 certificates? Knowledge of federated trust models for identity and security? Understanding and use of public cloud infrastructure (AWS, Azure, GCP) ? Strong focus on prioritizing customer experience and support ? Ability to communicate clearly and efficiently with customers and leadership? Experience working with large enterprises with heterogeneous compute platforms”
“Knows how to work on Enterprise size like Adobe High Level of Confidence? Proficiency in operating and supporting cloud-based services using IaC (infrastructure as code, Terraform)? Proven experience as a systems administrator or service reliability engineer ? Experience with CI/CD processes and source control mechanisms (GitHub) ? Solid understanding of cryptography including x509 certificates? Knowledge of federated trust models for identity and security? Understanding and use of public cloud infrastructure (AWS, Azure, GCP) ? Strong focus on prioritizing customer experience and support ? Ability to communicate clearly and efficiently with customers and leadership? Experience working with large enterprises with heterogeneous compute platforms”
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