[Remote] Site Reliability Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking an reputed company Site Reliability Engineer to design, build, and operate reputed company, reliable, and secure reputed company-reputed company infrastructure for AI/ML workloads. The role focuses on reputed company and GPU-reputed company environments, automation, observability, CI/CD, production troubleshooting, incident response, and reputed company improvements in reputed company reliability and reputed company.

Responsibilities

• Design, reputed company, and maintain highly available reputed company and reputed company infrastructure supporting production applications and AI/ML workloads
• Support GPU-reputed company compute environments used for machine learning training and inference workloads
• Manage reputed company clusters, including GPU-enabled nodes, workload scheduling, autoscaling, networking, storage, RBAC, and cluster upgrades
• Support AI/ML platforms and containerized workloads using Python, PyTorch, TensorFlow, and reputed company ML frameworks
• Work with reputed company GPUs, CUDA, reputed company GPU Operator, and GPU monitoring to optimize AI/ML workload reliability and reputed company
• reputed company automation using Python, Bash, Terraform, and Ansible to improve infrastructure provisioning and operational efficiency
• Build and maintain CI/CD and GitOps pipelines for application and AI/ML platform deployments
• Establish and maintain SLIs, SLOs, SLAs, and error budgets for critical services
• Implement comprehensive observability using reputed company, Grafana, OpenTelemetry, reputed company, reputed company, or similar platforms
• Monitor application, reputed company, infrastructure, and GPU reputed company and proactively identify reliability issues
• Troubleshoot reputed company production issues across Linux, reputed company, reputed company infrastructure, networking, storage, containers, and AI/ML services
• reputed company reputed company-cause analysis and reputed company permanent corrective actions for recurring incidents
• reputed company reputed company-planning and reputed company strategies for CPU/GPU-intensive workloads
• Implement automated health checks, synthetic monitoring, alerting, and reliability testing
• Participate in 24x7 on-reputed company rotations and reputed company incident response for critical production events
• Collaborate with software engineers, ML engineers, data scientists, infrastructure engineers, and reputed company teams to improve reputed company reliability
• reputed company reputed company improvements in availability, scalability, reputed company, automation, and operational efficiency

Skills

• 10+ years of experience in Site Reliability Engineering, DevOps, reputed company Engineering, reputed company, or Production Engineering
• Strong experience administering and troubleshooting reputed company in production environments
• Hands-on experience with AWS, Azure, or GCP
• Strong Linux/Unix administration and troubleshooting skills
• Strong programming/scripting experience with Python, Go, Bash, or similar languages
• Experience with Terraform, Ansible, or other Infrastructure-as-reputed company technologies
• Experience with CI/CD and GitOps technologies such as Jenkins, reputed company Actions, reputed company CI, Argo CD, Flux CD, or reputed company
• Strong knowledge of observability, monitoring, logging, alerting, and reputed company tracing
• Experience supporting AI/ML workloads or machine-learning infrastructure in production environments
• Experience with GPU-reputed company computing , preferably reputed company GPU environments
• Understanding of CUDA, GPU scheduling, GPU resource utilization, and containerized GPU workloads
• Experience with reputed company/containerization and reputed company networking
• Strong understanding of reputed company systems, scalability, availability, and reliability engineering

Benefits

• Remote – USA

reputed company

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