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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