
10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
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10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
• Lead a global, dynamic, state-of-the-art Service Reliability Operations center • Provide support for NVIDIA Cloud products and services • Partner with Site Reliability Engineering, Security Operations Center, DevOps teams, and other organizations • Support Production Kubernetes Services with a focus on automation and reducing manual tasks • Perform large-scale Kubernetes administration, systems administration, and security monitoring to maintain service SLAs, integrity, and reliability • Use alerts, alarms, and observability tools to monitor, detect, prevent, and respond to incidents • Analyze logs, metrics, and system behavior to troubleshoot issues • Lead root cause analysis and implement effective resolutions • Initiate and lead incident management calls • Coordinate subject matter experts and service owners for timely incident escalation and resolution • Develop monitors, alarms, and alerts to improve service reliability and customer experience
• 7+ years of demonstrated experience administering large-scale production Kubernetes systems in high-availability Internet, Cloud, or Data Center environments • Strong preference for on-prem expertise • BS in Computer Science, Engineering, Mathematics, or equivalent experience • Advanced hands-on experience with Kubernetes, SLURM, and large-scale cluster management • Familiarity with GPU / DPU hardware and high-performance computing Cluster environments • Strong Linux system administration, DNS, DHCP and core Linux networking (IP Tables, routing, firewalls) experience • Skills to troubleshoot and maintain services on large-scale bare-metal infrastructure • Experience working with CI/CD tools like Jenkins, ArgoCD • Experience in scripting • Programming in Python or Golang or Rust preferred, but not required • Strong communication and soft skills, able to present to cross-functional group members in a persuasive manner
• 24/7 Production engineering team support • Flexibility to work on split-weekend shifts
Apply Now🕒 June 4
Production Support Engineer focusing on incident response and operational support in IT and contact center environments at Miratech. Requires 4+ years of experience with tools like ServiceNow and Splunk.
🇮🇳 India – Remote
💰 Private Equity Round on 2022-04
⏰ Full Time
🟡 Mid-level
🟠 Senior
🏭 Production Engineer
Cloud
ServiceNow
Splunk