Senior DevOps Engineer

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.

Why Join Us?

• 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.

SandboxAQ Welcomes All

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.