Senior DevOps Engineer

📋 Job Overview

At SandboxAQ, we are committed to competitive, equitable, and transparent compensation; we continuously benchmark our salaries and total compensation to premium markets to ensure our competitiveness. Individual pay within the above range is determined by job-related skills, experience, education, and geographic location. With a focus on pay equity and ensuring opportunity for future salary progression, our typical practice is to hire within the first half of the base salary range for a given role and level.

🏢 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.

🎯 The Role

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. 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.

✅ 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.
• 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.

📌 Required Qualifications

• 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.

⭐ Desirable Experience

• 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.

🎁 Benefits

We offer a comprehensive and competitive benefits package designed to support your health, financial well-being, and life outside of work. Career Defining Work: Your work will directly accelerate the discovery of better drugs and better mate

🛂 Visa & Eligibility

We are seeking a candidate in the PST or MST time zone for this position.