Senior DevOps Engineer

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.

• 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.

• 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