Solutions Architect - AI/ML Infrastructure , Kubernetes, Platform Architect (Remote)

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