chandigarh chandigarh server engineer Jobs – 85 Open Jobs Today

MLOps / DevOps Engineer
iApp Technologies —Mohali, Punjab
- Azure
- DevOps
- Master's degree
Quick apply
7h
Junior DevOps Engineer
Suffescom Solutions Pvt. Ltd —Mohali, Punjab
- Up to ₹40,000 a month
- Full-time
- Software troubleshooting
- DevOps
- AWS
Quick apply
4h

More jobs to discover

Find similar jobs that you might be interested in.

Junior DevOps Engineer
Suffescom Solutions Pvt. Ltd —Mohali, Punjab
Maintain security best practices and backup strategies. The ideal candidate should have practical knowledge of AWS services, Linux environments, and DevOps…
Up to ₹40,000 a month
Quick apply
4h

I want to receive the latest job alerts for server engineer in chandigarh chandigarh

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

server engineer jobs near chandigarh chandigarh

Devops Engineer jobs in Mohali, Punjab

Mnc Company, Design Engineer jobs in Coimbatore, Tamil Nadu

Design Engineer jobs in Khed Shivapur, Pune, Maharashtra

Devops Engineer jobs in Kolkata, West Bengal

Devops Engineer jobs in Ernakulam, Kerala

Fresher Civil Engineer jobs in Mumbai, Maharashtra

Electrical Engineer jobs in Kalyan, Maharashtra

Devops Engineer jobs in Porur, Chennai, Tamil Nadu

Devops Engineer jobs in Ghansoli, Navi Mumbai, Maharashtra

Devops Engineer jobs in Pune City H.o, Pune, Maharashtra

Electronics, Instrument Engineer jobs in Orissa

Devops Engineer jobs in Ghaziabad, Uttar Pradesh

Devops Engineer jobs in Goa

Junior Cloud Engineer jobs in Noida, Uttar Pradesh

Devops Engineer jobs in Visakhapatnam, Andhra Pradesh

Engineer jobs in Ratnagiri, Maharashtra

Biomedical Engineer, Freshers In Hospital jobs in Pune, Maharashtra

MLOps / DevOps Engineer

iApp Technologies -
Mohali, Punjab

Quick apply

Job details

Permanent
7 hours ago

Qualifications

CI/CD
Performance tuning
Azure
Law
Kubernetes
Ansible
Software deployment
DevOps
Configuration management
Git
Master's degree
Bash (Unix shell)
Databases
AWS
Docker
Distributed systems
Terraform
Continuous integration
Scripting
GitHub
APIs
Linux
AI
Jenkins
GitLab
Python
Identity & access management

Full job description

About the Role

We are looking for an MLOps/DevOps Engineer to build, deploy, and operate infrastructure for LLM and AI workloads in production. You will work closely with ML and backend engineers to create reliable environments for training/fine-tuning, model serving, and GPU-based compute, ensuring performance, scalability, and high availability.

Key Responsibilities

Design and manage scalable infrastructure for AI/ML workloads (training, fine-tuning, inference).
Deploy, manage, and optimize GPU-enabled environments (drivers, CUDA runtime readiness, GPU monitoring, scheduling).
Build and maintain CI/CD pipelines for backend services (APIs, microservices), and
ML/LLM deployments (model versioning, rollout, rollback).
Containerize and orchestrate services using Docker and Kubernetes (EKS/GKE/AKS or self-managed).
Implement best practices for MLOps lifecycle:
model packaging and artifact management
reproducible deployments
environment management across dev/stage/prod
Set up observability (metrics, logging, alerting, tracing) for infrastructure and model services.
Improve system reliability via SRE practices: incident response, root-cause analysis, SLAs/SLOs, capacity planning.
Collaborate with ML engineers to productionize LLM workflows (LoRA adapters, inference endpoints, batch jobs).
Optimize cost and performance (autoscaling, efficient GPU utilization, job scheduling, caching).

Required Skills & Qualifications (Must Have)

3–5 years experience in DevOps / Platform Engineering / MLOps role
Strong Linux administration and networking fundamentals.
Hands-on experience with Docker and Kubernetes (deployments, services, ingress, scaling).
Experience building CI/CD pipelines (GitHub Actions / GitLab CI / Jenkins).
Proficiency in scripting/automation using Python (or strong bash + ability to work in Python).
Cloud experience with AWS / GCP / Azure (compute, networking, IAM, storage).
Familiarity with infrastructure automation and configuration management (Terraform/Ansible is a plus).

Good to Have (Preferred)

Experience with model serving frameworks: vLLM, Triton Inference Server, TorchServe, Ray Serve.
Exposure to ML lifecycle tools: MLflow, Weights & Biases, DVC.
Understanding of LLM fine-tuning concepts (LoRA/QLoRA) and deployment requirements.
Experience working with distributed systems, job schedulers, or workflow orchestration (Argo, Airflow, Prefect).
Knowledge of vector databases / RAG pipelines (FAISS, Pinecone, Weaviate, pgvector).
Familiarity with GPU performance tuning/monitoring (nvidia-smi, DCGM, Prometheus exporters).

Experience:

LLM: 3 years (Required)
Ai architecture: 3 years (Required)
DevOps engineer: 3 years (Required)

Work Location: In person

Quick apply

Refine Your Search

server engineer jobs in chandigarh chandigarh

MLOps / DevOps Engineer

Junior DevOps Engineer

More jobs to discover

I want to receive the latest job alerts for server engineer in chandigarh chandigarh

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected