Cluster Networking & Observability Engineer – AI Inference

5 - 10 years

15 - 20 Lacs

Posted:1 month ago| Platform: Naukri logo

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Job Type

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Job Description

Cluster Networking & Observability Engineer AI Inference Infrastructure

General Summary:

We are seeking a **Cluster Networking & Observability Engineer** to specialize in high-performance networking and observability for AI inference clusters. This role ensures low-latency communication and robust telemetry systems.

**Key Responsibilities**

- Design and maintain RoCE/RDMA-based networking for AI clusters.- Configure and troubleshoot datacenter network components.

- Implement and maintain telemetry systems using Prometheus and OpenTelemetry.

- Manage Kubernetes and Slurm cluster networking aspects

.- Develop automation for network configuration and monitoring.

**Required Qualifications

*Bachelors or Masters in Computer Science, Electrical Engineering, or related field.

- 3-5 years of experience in networking or HPC environments.

- Solid understanding of datacenter networking and RoCE/RDMA.

- Understanding of IPMI, SNMP and Hardware management protocols

- Experience with telemetry and observability tools (Prometheus, OpenTelemetry).

- Proficiency in Python and Shell scripting

- Familiarity with Linux networking stack and performance tuning.

- Exposure to cloud platforms (AWS, Azure, GCP) and hybrid deployments.

- Hands-on experience managing Kubernetes and Slurm clusters.

- Strong software engineering background.

Minimum Qualifications:

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. ORPhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

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