jobapplier

Senior DevOps Engineer

SandboxAQ

Skills

Required

  • GCP
  • AWS
  • Terraform
  • multi-cloud
  • cloud infrastructure
  • Kubernetes
  • GKE
  • VPC
  • EC2
  • S3
  • RDS
  • CircleCI
  • Python / Bash
  • Prometheus
  • Microsoft Azure

Preferred

  • Azure
  • Kubernetes infrastructure
  • Terraform pipelines
  • multi-cloud environments
  • Infrastructure as Code IaC
  • troubleshooting complex container/cluster issues
  • resolving pod
  • scheduling bottlenecks

Join the AI Simulation team as a Senior DevOps Engineer, where you will play a crucial role in building, optimizing, and securing the cloud infrastructure that powers our AI and physics-based simulation applications. You will work at the forefront of AI and quantitative tech, directly empowering scientific innovation through high-performance engineering infrastructure.

Responsibilities

  • Architect and manage multi-cloud (GCP, AWS, Azure) Kubernetes infrastructure and Terraform pipelines.
  • Provision, maintain, and scale multi-cloud environments using Infrastructure as Code (IaC) principles with Terraform.
  • Serve as a trusted advisor to developers, troubleshooting complex container/cluster issues, resolving pod scheduling bottlenecks.

Requirements

  • 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)
  • Deep hands-on experience managing Kubernetes clusters, networking/storage, Git/GitHub workflows, and CircleCI automation pipelines
  • Expert proficiency in Terraform for automated provisioning, paired with strong scripting skills in Python or Bash
  • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
  • 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

Pay

USD 122,000 - 228,000