Senior DevOps Engineer - AI Infra, Remote & Multi-Cloud

SandboxAQ; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

SandboxAQ is seeking a Senior DevOps Engineer for the AI Simulation team. This remote, US-based role focuses on building scalable, secure cloud infrastructure and production-grade Kubernetes environments.

You will manage multi-cloud platforms, implement IaC, and optimize observability, CI/CD pipelines, and collaboration across cross-functional teams. The ideal candidate has 3+ years as a DevOps Engineer with deep cloud experience in GCP and AWS, Terraform proficiency, and strong scripting

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent practical experience.
• ,
• ],
• job_responsibilities_description([ {
• }, null],
• CoT_job_summary_short......} {
• salary_estimation_cot...

Responsibilities

• Introduction to the AI Simulation team and its goals.
• Provision, maintain, and scale multi-cloud environments (GCP, AWS, Azure) using IaC (Terraform).
• Deploy and optimize production-grade Kubernetes clusters (GKE, EKS, AKS) with networking/storage/auto-scaling.
• Troubleshoot container/cluster issues and optimize developer workflows.
• Collaborate with DevOps, IT, and InfoSec to enforce security/compliance.
• Implement monitoring and logging (Prometheus, Grafana, Cloud Logging) and manage release pipelines (CircleCI/GitHub).

Skills

Cloud infrastructure

Terraform

Kubernetes

CI/CD pipelines

Python/Bash scripting

Observability

Security/compliance

Multi-cloud management

Education

Bachelor’s degree in CS/Engineering

Tools

Terraform

Kubernetes

CircleCI

GitHub

Prometheus

Grafana

Cloud Logging

GKE/EKS/AKS

Job description

SandboxAQ is seeking a Senior DevOps Engineer for the AI Simulation team. This remote, US-based role focuses on building scalable, secure cloud infrastructure and production-grade Kubernetes environments.

You will manage multi-cloud platforms, implement IaC, and optimize observability, CI/CD pipelines, and collaboration across cross-functional teams. The ideal candidate has 3+ years as a DevOps Engineer with deep cloud experience in GCP and AWS, Terraform proficiency, and strong scripting