Solutions Architect - Kubernetes Expert - Startup (Remote) Job at Living Talent, San Jose, CA

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  • Living Talent
  • San Jose, CA

Job Description

Solutions Architect with hands-on engineering experience and Kubernetes expertise

Drive the adoption and implementation

Autonomous Cloud Orchestration Platform based on Kubernetes Control Layer

  • Remote-first (fully remote)
  • Smart, fun, and low-ego team.
  • Startup (Series A, 40 employees, poised for unicorn status)
  • Compensation: Base salary of $200k+ plus equity.

Key Responsibilities

  • Engage with customers to identify and address challenges in deploying containerized workloads, especially for complex jobs (HPC, GPU, ML, AI, etc.).
  • Design and deploy robust infrastructure solutions tailored to client needs.
  • Collaborate with development teams to enhance processes and efficiency.
  • Create and maintain documentation and repeatable processes.

Critical Qualifications

  • 7+ years of experience in Solutions Architecture, Engineering, or Software Engineering.
  • Hands-on experience with Kubernetes (design, deployment, management) across EKS, AKE, and GKE.
  • Proficiency in cloud-native, multi-cloud, or hybrid architectures, particularly AWS.
  • Experience designing and implementing customer-facing cloud infrastructure components.
  • Strong background in Linux-based systems and products.
  • Proficiency in Go, Python, and Bash.
  • Ability to assist development teams (e.g., writing integration scripts).
  • CI/CD tools (GitHub Actions)
  • IaC (Helm, Terraform)

Preferred Qualifications

  • Advanced knowledge of Kubernetes Operators (ECK, Prometheus, Istio, Aerospike).
  • Experience in HPC engineering and orchestration, including deploying and troubleshooting schedulers in the cloud (Slurm, LFS).
  • Familiarity with MLOps tools (Kubeflow).
  • Understanding of FinOps best practices for cost management and cloud optimizations.
  • Experience with Azure platform operations and support.
  • Active involvement in Kubernetes and/or Cloud Native open-source communities.
  • BS or MS in Computer Science, Engineering, or a related discipline.

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