Platform Engineer

Role: Platform Engineer

Duration: 1 month

Location: St. Louis, MO

Role Overview Highly skilled AI Infrastructure Engineer to design, build, and operate scalable GPU-enabled Kubernetes platforms for AI/ML workloads.

Must have skills: Kubernetes, Linux, Terraform, GPUs and NVIDIA stack

Required Qualifications
3 8+ years' experience
Strong Kubernetes knowledge
Experience with GPUs and NVIDIA stack
Linux (Ubuntu) expertise
Experience with Terraform

Preferred Qualifications
Longhorn or Ceph experience
Canonical ecosystem (MAAS, Juju)
AI/ML tools like Kubeflow
Certifications (CKA, NVIDIA)

Soft Skills
Strong problem-solving and troubleshooting mindset
Ability to collaborate with cross-functional teams (ML engineers, data scientists)
Clear communication and documentation skills
Passion for automation and platform scalability

Key Responsibilities
Design and manage Kubernetes clusters
Build GPU-enabled infrastructure
Deploy Longhorn storage
Automate infrastructure using Terraform
Monitor systems using Prometheus and Grafana

Knowledge Transfer & Client Enablement
Provide structured knowledge transfer (KT) sessions to client teams on all core platform components, including:
Kubernetes architecture, operations, and troubleshooting
GPU infrastructure (NVIDIA stack, scheduling, resource optimization)
Longhorn storage management and performance tuning
Canonical ecosystem tools (MAAS, Juju, Charmed Kubernetes)
Develop and deliver technical documentation, runbooks, and training materials to support ongoing operations
Conduct hands-on workshops and guided sessions to enable client teams to independently manage and scale the platform
Act as a technical advisor, helping client stakeholders understand best practices in:
Cloud-native infrastructure
o AI/ML platform operations
o Reliability, performance, and cost optimization

Ensure smooth handoff of production systems with full operational readiness and support knowledge

For applications and inquiries, contact:View email address on us.fitly.work