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United States
Remote only
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.
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.
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.
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.
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.
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 materials, advance human health, and enable safer and more sustainable technologies by helping customers put AI Simulation capabilities into real world use.
Compensation: Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.
Benefits: Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions, retirement savings with company matching, paid parental leave, and inclusive family-building benefits.
Work-Life Balance: Fully remote, Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.
Learning and Growth: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.
We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges.
Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know.
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