Роль чётко связана с облачной инфраструктурой для AI-команды, с сильной технической частью и понятным пакетом льгот; стоит учесть работу сразу с несколькими облаками и дежурства.
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Hirify AI/Оригинал
TL;DR
DevOps Engineer (AI): Managing and optimizing cloud infrastructure for the AI Simulation team across GCP, AWS, and Azure with an accent on Kubernetes orchestration, Terraform automation, and developer support. Focus on designing reliable infrastructure, troubleshooting complex cluster and platform issues, implementing observability, and maintaining security and performance in PST or MST time zones.
Location: Remote within the United States; candidates must be in the PST or MST time zone.
Salary: US Tier 1 $152K–$228K; US Tier 2 $137K–$205K; US Tier 3 $122K–$182K.
Company
SandboxAQ develops AI solutions powered by Large Quantitative Models for life sciences, financial services, navigation, cybersecurity, and other sectors.
What you will do
Design, implement, and maintain scalable GCP, AWS, and Azure infrastructure using Terraform and Infrastructure as Code principles.
Design, deploy, and manage Kubernetes clusters, including networking, storage, secrets management, orchestration, scaling, and resource management.
Provide hands-on technical support to developers, troubleshoot complex infrastructure and cluster issues, and improve development workflows.
Implement monitoring, alerting, and logging for cloud services while ensuring high availability, performance, security, and compliance.
Collaborate with DevOps, IT, and InfoSec teams; document infrastructure designs and procedures; and participate in on-call rotations as needed.
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Proven experience as a DevOps Engineer or in a similar role, with strong cloud infrastructure expertise and hands-on developer support in complex environments.
In-depth hands-on experience with GCP services including GKE, Compute Engine, Cloud Storage, VPC, IAM, and BigQuery.
In-depth hands-on experience with AWS services including EKS or ECS, EC2, S3, RDS, VPC, and IAM.
In-depth knowledge of networking principles and expertise in Terraform for infrastructure provisioning and management.
Proficiency in scripting languages such as Python or Bash.
Expertise in Git, GitHub workflows, CI/CD automation with CircleCI, and efficient release pipelines.
Experience with monitoring and logging tools such as Cloud Monitoring, Cloud Logging, Grafana, and Prometheus.
Strong problem-solving skills and a collaborative mindset for cross-functional work.
Nice to have
Experience with containerization technologies such as Docker and Kubernetes.
Experience with other cloud providers, including GCP, AWS, and Azure.
Proven ability to manage regulated data and ensure security and compliance.
Culture & Benefits
Fully remote work with flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements.
Medical, dental, and vision coverage for employees and dependents, with employer premium contributions.
Retirement savings with company matching, paid parental leave, and family-building benefits.
Competitive base salary, performance-based incentives or bonuses where applicable, and equity participation.
Opportunities for continuous learning, cross-functional collaboration, and internal development programs.
Inclusive, multidisciplinary environment focused on belonging, respect, ownership, and transformative impact.
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