Senior DevOps Engineer

SandboxAQ; EE. UU.; A distancia; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

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

Formación

• Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent practical experience.
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Responsabilidades

• 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).

Conocimientos

Cloud infrastructure

Terraform

Kubernetes

CI/CD pipelines

Python/Bash scripting

Observability

Security/compliance

Multi-cloud management

Educación

Bachelor’s degree in CS/Engineering

Herramientas

Terraform

Kubernetes

CircleCI

GitHub

Prometheus

Grafana

Cloud Logging

GKE/EKS/AKS

Descripción del empleo

Senior DevOps Engineer at SandboxAQ, United States (remote). A senior-level full time position in the AI Simulation team, listed under software engineering.

Responsibilities

• Introduction to the team: The AI Simulation team drives high-impact innovations by developing cutting-edge simulation models and algorithms. By joining this group, you will be joining a highly collaborative, cross-functional team dedicated to scaling our technical capabilities and transforming complex computational research into robust, production-ready solutions.
• Provision, maintain, and scale multi-cloud environments (GCP, AWS, Azure) using Infrastructure as Code (IaC) principles with Terraform.
• Deploy and optimize production-grade Kubernetes clusters (GKE, EKS, AKS), configuring networking, ingress, service meshes, storage, and auto-scaling policies.
• Serve as a trusted advisor to developers, troubleshooting complex container/cluster issues, resolving pod scheduling bottlenecks, and streamlining developer workflows.
• Partner closely with DevOps, IT, and InfoSec teams to integrate security best practices, safeguard regulated data, and enhance overall system availability and compliance.
• Implement end-to-end monitoring and logging (Prometheus, Grafana, Cloud Monitoring), manage release pipelines via CircleCI/GitHub, and participate in on-call rotations to maintain high availability.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• 3+ years of experience as a DevOps Engineer with deep expertise in cloud infrastructure across GCP (GKE, Compute Engine, VPC, IAM) and AWS (EKS/ECS, EC2, S3, RDS).
• Expert proficiency in Terraform for automated provisioning, paired with strong scripting skills in Python or Bash.
• Deep hands-on experience managing Kubernetes clusters, networking/storage, Git/GitHub workflows, and CircleCI automation pipelines.
• Hands-on experience with observability tools (Prometheus, Grafana, Cloud Logging) and a track record of supporting cross-functional development teams.
• Broad experience managing multi-cloud operations across GCP, AWS, and Microsoft Azure simultaneously.
• Proven ability to manage regulated datasets and enforce enterprise-grade security and compliance standards.
• Deep knowledge of container runtimes and Docker ecosystem optimizations.
• Experience with high capacity AI infrastructure.