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SandboxAQ is a high-growth AI company delivering Large Quantitative Models (LQMs) that power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022.
The AI Simulation team is seeking a Senior DevOps Engineer to architect and manage the cloud infrastructure and operational engines powering AI and physics-based simulation applications. This role bridges cloud operations and developer needs, enabling scientists and engineers to build and deploy critical systems seamlessly.
Key responsibilities include:
- Provisioning, maintaining, and scaling multi-cloud environments (GCP, AWS, Azure) using Infrastructure as Code (IaC) with Terraform
- Deploying and optimizing production-grade Kubernetes clusters (GKE, EKS, AKS), configuring networking, ingress, service meshes, storage, and auto-scaling policies
- Serving as a trusted advisor to developers, troubleshooting complex container/cluster issues and streamlining workflows
- Partnering with DevOps, IT, and InfoSec teams to integrate security best practices, safeguard regulated data, and enhance system availability and compliance
- Implementing end-to-end monitoring and logging (Prometheus, Grafana, Cloud Monitoring), managing release pipelines via CircleCI/GitHub, and participating in on-call rotations
The role is fully remote with a preference for candidates in PST or MST time zones. SandboxAQ offers competitive compensation including base salary, performance-based incentives, and equity participation, along with comprehensive benefits including medical/dental/vision coverage, retirement matching, paid parental leave, flexible PTO, and learning/development opportunities.
REQUIREMENTS:
- Bachelor's degree in Computer Science, Engineering, or 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 track record of supporting cross-functional development teams
HIGHLY DESIRED:
- 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
