Senior Cloud Operations Engineer

Summary

Join The Linux Foundation as a Senior Cloud Operations Engineer and play a crucial role in managing and optimizing our multi-cloud infrastructure and DevOps practices for the PyTorch project. You will design and manage multi-cloud environments, optimize cloud resource utilization, implement CI/CD pipelines, develop performance testing frameworks, and ensure infrastructure security and monitoring. This position requires extensive experience in cloud operations, GPU computing, and DevOps methodologies. The ideal candidate will have a strong background in infrastructure-as-code, automated testing, and agile practices. We offer a competitive salary, comprehensive benefits, and a flexible remote work environment.

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field
• 7+ years of experience in cloud operations with extensive multi-cloud expertise (AWS, GCP, Azure)
• Demonstrated experience with GPU computing (AMD and NVIDIA) and specialized accelerators (TPUs, NPUs)
• Strong knowledge of CPU architectures and instance type optimization (AMD, Intel)
• Advanced experience with GitHub Actions, including custom runner configuration and management
• Expertise in implementing non-blocking and out-of-tree CI jobs
• Strong background in version control systems and branching strategies
• Experience with agile methodologies and scrum practices
• Proficiency in infrastructure-as-code tools, particularly Terraform
• Strong scripting abilities (Python, Bash, PowerShell, Typescript)
• Experience with containerization and orchestration (Docker, Kubernetes)
• Demonstrated experience in implementing automated testing frameworks

Responsibilities

• Design and manage multi-cloud environments across AWS, GCP, and Azure
• Optimize instance selection and utilization across various compute types including AMD and Intel CPU-based instances
• Configure and manage GPU-accelerated instances (AMD and NVIDIA) and specialized accelerators (TPUs, NPUs)
• Implement and maintain infrastructure-as-code using Terraform and other IaC tools
• Optimize cloud resource utilization and implement FinOps practices for cost management
• Design and implement high-availability solutions across multiple cloud providers
• Design, implement, and maintain CI/CD pipelines using GitHub Actions
• Configure and manage both github-hosted and self-hosted runners
• Implement and maintain non-blocking and out-of-tree CI jobs
• Design and implement matrix testing strategies across different hardware configurations
• Develop and maintain automated testing frameworks for various testing types (unit, integration, performance)
• Implement best practices for version control management and branching strategies
• Develop and implement performance testing frameworks for various hardware accelerators
• Optimize workload distribution across different types of compute instances
• Implement automated performance regression testing
• Design and maintain benchmarking systems for various hardware configurations
• Implement security best practices across multi-cloud environments
• Develop comprehensive monitoring solutions using cloud-native tools
• Participate in on-call rotations supporting operations and incident response
• Establish and maintain escalation procedures and resolution processes
• Manage access control and security policies across cloud platforms

Preferred Qualifications

• Experience optimizing workloads across different hardware accelerators
• Background in performance testing and optimization
• Contributions to open-source projects
• Experience mentoring other engineers
• Background in machine learning infrastructure
• Experience with Datadog is a plus

Benefits

• Competitive salary
• Comprehensive health, dental, and vision insurance
• Flexible PTO policy
• Remote work environment
• Professional development opportunities
• 401(k) matching
• Home office stipend