Senior DevOps Engineer

About the role

ABOUT SANDBOXAQ

SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors.

We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders.

At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact.

THE OPPORTUNITY

- 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.

- Introduction to the role: The AI Simulation team is looking for a Senior DevOps Engineer to join our team. This role is central to our efforts to build, optimize, and secure the cloud infrastructure and operational engines that power our AI and physics-based simulation applications. By bridging cloud operations and developer needs, you will enable our scientists and engineers to build and deploy critical systems seamlessly. This person will architect and manage multi-cloud (GCP, AWS, Azure) Kubernetes infrastructure and Terraform pipelines in addition to providing direct, hands-on developer support, acting as a trusted advisor to optimize engineering workflows and troubleshoot complex infrastructure challenges. This person will work at the forefront of AI and quantitative tech, directly empowering scientific innovation through high-performance engineering infrastructure. We are seeking a candidate in the PST or MST time zone for this position.

KEY RESPONSIBILITIES

- 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.