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.
At SandboxAQ, we operate at the cutting edge of AI/ML and quantum technologies. As a DevOps Engineer, you will be instrumental in managing and optimizing our Google Cloud Platform (GCP) infrastructure, focusing on BigQuery logging, Terraform automation, FinOps dash-boarding, and backend orchestration with Airflow. This role will provide deep, hands-on technical support to the AI Simulation team and will be essential for tooling the operational engine of the team.
Responsibilities- Design, implement, and maintain scalable and reliable GCP infrastructure using Infrastructure as Code (IaC) principles, primarily with Terraform.
- Manage and optimize BigQuery & k8s logging configurations to ensure efficient data ingestion, analysis, and cost control.
- Develop and maintain FinOps dashboards to provide visibility into cloud spending and identify cost optimization opportunities (we currently use Cloudzero as a cloud-costs vendor).
- Provide and deliver deep, hands-on technical support to developers, acting as a trusted advisor to help optimize workflows, troubleshoot complex issues, and improve development practices.
- Implement and manage monitoring, alerting, and logging solutions for GCP services.
- Troubleshoot and resolve infrastructure-related issues, ensuring high availability and performance.
- Collaborate with Devops, IT, and InfoSec teams to leverage technology effectively while enhancing security and performance.
- Participate in on-call rotations as needed.
- Document infrastructure designs, configurations, and procedures.
- Build interfaces and connections to operations and capacity planning software.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Proven experience as a DevOps Engineer or similar role, with a strong focus on cloud infrastructure and deep, hands-on developer support in complex environments.
- In-depth knowledge and hands-on experience with Google Cloud Platform (GCP) services, including but not limited to:
- BigQuery
- Compute Engine
- Cloud Storage
- VPC
- IAM
- In-depth knowledge of networking principles.
- Expertise in Terraform for infrastructure provisioning and management.
- Experience with FinOps practices and tools for cloud cost management.
- Proficiency in scripting languages (e.g., Python, Bash).
- Expertise in Git, GitHub workflows, CI/CD (CircleCI) automation, and efficient release pipelines.
- Experience with monitoring and logging tools (e.g., Cloud Monitoring, Cloud Logging, Grafana, Prometheus).
- Strong problem-solving skills and a collaborative mindset for working across cross-functional teams.
- Experience with backend orchestration tools like Apache Airflow.
- Familiarity with containerization technologies (e.g., Docker, Kubernetes).
- Experience with other cloud providers (AWS, Azure).
- Proven ability to manage regulated data and ensure security and compliance.
The US base salary range for this full-time position is expected to be $155k-$210k per year. Our salary ranges are determined by role and level. Within the range, individual pay is determined by factors including job-related skills, experience, and relevant education or training. This role may be eligible for annual discretionary bonuses and equity.
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