Infrastructure - Linux / HPC Engineer AI & ML Platforms:

We are seeking a highly skilled Linux / HPC Infrastructure Engineer to support and scale enterprise AI/ML and LLM platforms across GPU clusters, Kubernetes settings, and data center infrastructure.

This role combines expertise in Linux systems, Kubernetes administration, HPC infrastructure, GPU-accelerated AI workloads, and enterprise platform operations.

You will be responsible for designing, deploying, optimizing, and maintaining highly available AI infrastructure environments supporting large-scale inference, distributed computing, and cloud-native AI platforms.

Key Responsibilities:
Deploy, manage, and optimize AI/ML and LLM inference workloads across GPU clusters, HPC infrastructure, and cloud environments.
Build and maintain scalable AI platform infrastructure using Kubernetes, containers, and enterprise orchestration platforms.
Administer and optimize Linux servers including system configuration, patching, security hardening, performance tuning, and troubleshooting.




Manage physical infrastructure including servers, storage, networking, and bare-metal environments within enterprise data centers.
Implement and maintain CI/CD and automation workflows for platform and infrastructure deployments.
Optimize infrastructure performance, GPU utilization, resource allocation, and distributed workloads to meet operational requirements.
Benchmark and evaluate AI workloads for scalability, latency, throughput, and resource efficiency.
Collaborate with infrastructure, SRE, and platform engineering teams to provision compute resources and maintain enterprise-scale AI environments.
Implement monitoring, logging, observability, and alerting solutions for platform reliability and operational visibility.
Apply security patches, upgrades, compliance controls, and operational best practices for Linux and Kubernetes environments.
Troubleshoot issues across hardware, networking, operating systems,

📌 Infrastructure Support Engineer Pune
🏢 Emergys Software
📍 Pune