Direct Ashby career site

Senior DevOps Engineer

Location: Remote (US)
Listed: 17 days ago

The Opportunity

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 Cloud (GCP, AWS, Azure) infrastructure, focusing on Kubernetes, Terraform automation, and backend orchestration. 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.

Key Responsibilities

Design, implement, and maintain scalable and reliable GCP, AWS & Azure infrastructure using Infrastructure as Code (IaC) principles, primarily with Terraform.
Design, deploy, and manage Kubernetes clusters (EKS, GKE, AKS, or self-managed):
Configure networking (ingress, service mesh, CNI plugins), storage, and secrets management; and implementing and maintaining container orchestration, scaling policies, and resource management
Troubleshoot cluster issues, node failures, and pod scheduling problems
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
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.
Implement and manage monitoring, alerting, and logging solutions for GCP, AWS & Azure services.

Essential Skills & Experience

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:
GKE
Compute Engine
Cloud Storage
VPC
IAM
BigQuery
In-depth knowledge and hands-on experience with Amazon Web Services (AWS), including but not limited to:
EKS / ECS
EC2 + S3 + RDS
VPC
IAM
In-depth knowledge of networking principles
Expertise in Terraform for infrastructure provisioning and 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

Highly Desired Skills & Experience

Experience with containerization technologies (e.g., Docker, Kubernetes).
Experience with other cloud providers (GCP, AWS, Azure).
Proven ability to manage regulated data and ensure security and complianceWe are seeking a candidate in the PST or MST time zone for this position.

SandboxAQ Welcomes All

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.

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.

Why Join Us?

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.

Equal opportunity and legal notices

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.

Read: Guidance for candidates on using AI Tools in interviews

Read the original posting

From SandboxAQ's careers page, first listed on Rolev.ai on October 22, 2026. Rolev.ai is not the employer.

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How do I apply for the Senior DevOps Engineer position at SandboxAQ?

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