We're Hiring: Solutions Architect - AI/ML infra /Kubernetes (Remote)
Are you passionate about building scalable AI infrastructure and helping customers succeed with cutting-edge GPU platforms? We're looking for a Solutions Architect to join our team and work with enterprise customers deploying and optimizing AI/ML workloads on our GPU Platform-as-a-Service (PaaS).
What You'll Do:
Design and deploy Kubernetes-based AI/ML infrastructure for training, fine-tuning, and inference
Help customers onboard and scale GPU-powered workloads across cloud and hybrid environments
Build automation using Terraform, Helm, GitOps, and CI/CD pipelines
Optimize GPU utilization, platform performance, observability, and cost efficiency
Partner with Platform Engineering, MLOps, Data Science, and Infrastructure teams to deliver production-ready solutions
Act as a trusted technical advisor throughout the customer lifecycle
What We're Looking For:
4+ years of experience in Solutions Architecture, DevOps, Platform Engineering, SRE, or Cloud Engineering
Strong hands-on Kubernetes experience in production environments
Experience with AWS, Azure, or Google Cloud Platform
Proficiency with Python or Go
Knowledge of Terraform, Helm, GitOps, CI/CD, and observability tools (Prometheus, Grafana, OpenTelemetry)
Understanding of AI/ML infrastructure, GPU workloads, and Kubernetes-based platforms
Bonus Skills:
Experience with PyTorch or TensorFlow
MLOps or AI infrastructure platforms
GPU scheduling, autoscaling, and workload optimization
Enterprise cloud-native environments
Location: Remote
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