DC Tech Consulting | Senior Systems Engineer

2 weeks ago

india DC Tech Consulting Full time

Job Profile: Senior Systems Engineer - Kubernetes & Linux Platform

Summary:

An experienced Systems Engineer with over 10 years of specialized expertise in Linux platforms, Kubernetes cluster management, and advanced troubleshooting. Skilled in Kubernetes Day 2 operations, Linux networking, Linux storage, and Nvidia GPU configurations within Kubernetes environments. Proficient in supporting AI/ML workflows, optimizing infrastructure for performance and reliability, and collaborating with data science teams to facilitate AI/ML tools on Linux and Kubernetes infrastructure.

Key Responsibilities:


Kubernetes Cluster Management:

• Design, deploy, and manage Kubernetes clusters, ensuring optimal performance, scalability, and security.

• Oversee Kubernetes Day2 operations, including lifecycle management, patching, upgrading, and continuous monitoring.

• Develop and implement best practices for Kubernetes cluster security, multi-tenancy, and resource optimization.

Kubernetes Troubleshooting & Maintenance:

• ProactivelytroubleshootandresolvecomplexissuesrelatedtoKubernetesclusters, containers, and networking.

• Perform in-depth diagnostics of cluster performance, node scaling, and API responsiveness.

• Support teams in resolving persistent Kubernetes issues and providing documentation for recurring issues.

Linux Systems Administration:

• Manage Linux-based servers and configurations, ensuring systemst ability and security across all environments.

• Oversee network configuration, DNS management, and performancetuningforLinux systems.

• CoordinatewithstorageteamstomanageLinux-basedstorage,optimizefilesystems,and ensure high availability.

Nvidia GPU Configurations & AI/ML Support:

• Configure and manage Nvidia GPUs in Kubernetes clusters to support GPU-intensive workloads.

• Collaborate with datascience teams tosupport AI/ML workflows,i ncluding model training, inference, and scaling on Kubernetes.

• Understandand troubleshoot AI/ML tools and platforms deployedon Kubernetes, optimizing resources for high-performance computing.

Cross-Functional Collaboration:

• Partner with DevOps, DataEngineering, and DataScience teams to ensure infrastructure supports AI/ML requirements.

• Document and provide knowledge sharing on best practices, configurations, and troubleshooting procedures.

• Participate in on-callrotation to provide high-priority support for production incidents.

Required Skills:

•

Technical Expertise:

• 10+years of experience withLinux systems administration and troubleshooting.

• Strong knowledgeof Kubernetescluster management, including Day2 operations and troubleshooting.

• Deep understanding of Linux networking, storage, and security practices.

• Hands-on experience with Nvidia GPU configurationin Kubernetes environments.

• Familiarity with AI/ML workflows, tools, and best practices in a Linux/Kubernetes environment.

Problem-Solving Abilities:

  • Demonstrated experience with advanced troubleshooting in both Kubernetes andLinux.
  • Ability to analyze and resolve complex technical issues efficiently.
  • Strong focus on performance tuning and optimization.

•

Preferred Qualifications:

  • Certifications in Kubernetes (CKA/CKAD/CKS) or Linux (RHCE).
  • Familiarity with monitoring tools like Prometheus, Grafana, or ELK stack.
  • Experience with AI/ML frameworks such as TensorFlow, PyTorch, or NVIDIA Triton Inference Server.
  • Soft Skills:
  • Strong analytical and communication skills.
  • Ability to work independently and within a collaborative team environment.
  • Adaptable to changing priorities and a fast-paced work environment.
  • This role offers the opportunity to work on cutting-edge technology infrastructure, playing a critical part in enabling and supporting the organization’s AI and ML goals. 


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