Linux Infrastructure Engineer

Skills Required
CI/CD, Elasticsearch, Node.js, Law, Kubernetes, Ansible, Software deployment, Master’s degree, Bash (Unix shell), OpenStack, RBAC, OS kernels, Docker, Terraform, Continuous integration, RabbitMQ, Scripting, Computer networking, Linux, Swift, AI, Python

Full job description

Lektik builds private AI clouds for enterprises full-stack deployments of OpenStack, Kubernetes (Magnum), GPU clusters, Triton/vLLM model servers, vector databases, and RAG pipelines. We work at the intersection of Linux internals, OpenStack, and high-performance GPU systems.

Role Overview

You will deploy, operate, and optimize production-grade OpenStack clusters that power LLM inference, RAG workloads, vector search, and GPU-accelerated AI services.

Your work directly impacts real deployments across finance, healthcare, logistics, and federal clients.

Responsibilities

• OpenStack Engineering
• Deploy + manage Nova, Neutron, Cinder, Swift, Keystone, Glance, Magnum
• Configure multi-node setups, HA, MariaDB, RabbitMQ
• Debug cluster/network/storage issues at infrastructure level
• Manage GPU passthrough / SR-IOV / NUMA-aware scheduling

Kubernetes (Magnum)

• Provision & operate Kubernetes clusters via Magnum
• Manage ingress, CNI, storage classes, container runtimes

AI/ML Infra Integration

• Deploy AI serving stack: Triton, vLLM, ONNX Runtime
• Integrate vector DBs: pgvector, Milvus, Elasticsearch
• Tune GPU workloads for throughput/latency

Automation + Observability

• Infrastructure automation using Ansible / Terraform
• Observability using Prometheus, Grafana, Loki
• CI/CD hooks for infra changes

Security & Compliance

• Network segmentation, RBAC, TLS, audit logging
• Hardening of OpenStack, K8s, and GPU nodes

Required Skills

• Strong Linux internals: networking, systemd, kernel modules
• Practical OpenStack deployment experience
• Deep understanding of Neutron networking (OVS/OVN)
• Strong container experience: Docker, containerd, CRI-O
• Scripting: Python or Bash
• GPU experience (preferred): NVIDIA CUDA, drivers, NCCL

Bonus Skills

• Ceph / Swift storage
• Heat / Ironic
• Experience with high-performance, low-latency systems

Job Type: Full-time

Pay: ₹85,000.00 - ₹150,000.00 per month

Benefits:

• Paid sick time
• Provident Fund

Experience:

• total: 6 years (Preferred)
• linux infrastructure engineer: 4 years (Preferred)

Work Location: In person

Job Types: Full-time, Permanent

Pay: ₹85,000.00 - ₹150,000.00 per month

Work Location: In person