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Intel - Boise, ID

posted about 1 month ago

Full-time - Senior
Hybrid - Boise, ID
5,001-10,000 employees
Computer and Electronic Product Manufacturing

About the position

The Cloud Software Architect for Software-Defined Storage (SDS) at Intel is responsible for architecting, designing, and providing technical oversight for the development of cloud software products. This role involves creating software solutions that are scalable, resilient, and secure, while also engaging with customers and industry standards to optimize software architecture.

Responsibilities

  • Architect and design software-defined storage solutions for Intel's cloud software products.
  • Provide technical oversight and direction for the development of system software, frameworks, protocols, algorithms, and applications.
  • Research and design optimal end-to-end cloud computing software solutions for various environments.
  • Engage with major customers to understand use cases and influence architectures through open source and standardization work.
  • Interact with technologists and product managers to evaluate requirements and determine development priorities.
  • Make high-level design choices focused on manageability, scalability, usability, resiliency, availability, security, and safety.

Requirements

  • Bachelor's Degree with 9+ years of experience, OR a Master's Degree with 6+ years of experience, OR a PhD with 4+ years of experience in Electrical/Computer Engineering, Computer Science, or a technical STEM-related field.
  • 4+ years of experience in architecting and implementing enterprise and cloud-scale, mission-critical solutions.
  • 4+ years of experience in engineering and implementing Software-Defined Storage solutions for private or public clouds, enterprises, or telco industries.
  • 4+ years of knowledge of datacenter storage hardware, protocols, software implementations, control plane/orchestration, and data plane.

Nice-to-haves

  • Familiarity with public cloud storage offerings such as EBS, EFS, and S3.
  • Experience in designing and building storage solutions for AI/ML, HPC, and other I/O intensive workloads at multi-petabyte scale.
  • Experience in implementing and supporting one or more SDS solutions (e.g., Weka.IO, VAST, Ceph, MinIO).
  • Knowledge of Kubernetes, especially its storage interface (CSI).
  • Understanding of datacenter designs and processes, networking hardware (e.g., Arista, Cisco), protocols, and interconnects.
  • Experience in datacenter storage management, automation, and monitoring.

Benefits

  • Competitive pay
  • Stock options
  • Bonuses
  • Health benefits
  • Retirement plans
  • Vacation time
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