Senior Cloud & AI Infra Engineer

Quantum Sky; Reston (VA); Hybrid; USD 200,000 - 230,000; Full time

Benefits offered by this job

Health/Dental/Vision

401(k) match

Paid Time Off

STD/LTD/Life Insurance

Parental leave

Job summary

Quantum Sky seeks a Senior Cloud Infrastructure Engineer to own Google Cloud Platform and Kubernetes environments for AI/ML workloads, reporting to the Director of Infrastructure Engineering. Hybrid/on-site in Reston, VA with 10–20% travel to partner sites.

The role emphasizes hands-on provisioning of GPU/TPU capacity, infra automation with Terraform and GitOps, and collaboration across engineering, research, and operations teams to ensure reliability and security.

Qualifications

• Bachelor's degree in computer science, engineering, or a related technical field; equivalent experience considered.
• 7+ years in infrastructure, platform, cloud, or site reliability engineering; 2+ years on GCP/AWS.
• Deep GCP expertise across Compute Engine, GKE, VPC, Cloud IAM, Storage, Operations.
• AI infrastructure experience in production, including GPU/TPU provisioning, training, inference, and MLOps tooling.
• Production Kubernetes experience with cluster operations, Helm, networking, RBAC, autoscaling, upgrades.
• Strong Terraform and Git-based workflows; experience with CI/CD tools like Cloud Build, GitHub Actions, GitLab CI, or Argo CD.
• Scripting in Python, Go, or Bash; Linux, TCP/IP, DNS, load balancing; hybrid cloud connectivity.
• Excellent organizational skills to plan and track work across multiple streams using Jira/Confluence.
• Clear written and verbal communication to explain trade-offs to engineers, researchers, and leadership.

Responsibilities

• Design, build, and operate production infrastructure on GCP and Kubernetes for AI/ML workloads.
• Support Vertex AI, Kubeflow, and related MLOps tooling with environment provisioning and model registries.
• Create reusable platform components and self-service access for compute and AI tooling.
• Automate infrastructure with Terraform and GitOps; maintain CI/CD pipelines and configuration as code.
• Lead incident reviews, implement observability with Prometheus, Grafana, and Cloud Operations.
• Plan and schedule infrastructure workstreams across engineering, research, and operations teams.

Skills

GCP expertise

Kubernetes

Terraform

GitOps

CI/CD tooling

Python/Go/Bash

Networking

Jira/Confluence

Cloud IAM

Education

Bachelor's degree in CS/Engineering

Tools

Terraform

GitHub Actions

GitLab CI

Argo CD

Job description

Quantum Sky seeks a Senior Cloud Infrastructure Engineer to own Google Cloud Platform and Kubernetes environments for AI/ML workloads, reporting to the Director of Infrastructure Engineering. Hybrid/on-site in Reston, VA with 10–20% travel to partner sites.

The role emphasizes hands-on provisioning of GPU/TPU capacity, infra automation with Terraform and GitOps, and collaboration across engineering, research, and operations teams to ensure reliability and security.