Live opening · Posted 12 hours ago

AI DevOps Engineer

ZIDEA · Pune City, Maharashtra, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 12 hours ago
CompanyZIDEA
LocationPune City, Maharashtra, India (On-site)
Work modeNo
SkillsPython, Azure, Docker, Kubernetes, Terraform
SourceLinkedin
ListedPosted 12 hours ago

About the role

Description supplied by the original job listing.

Experience: 6+ Years
Location: Pune
Role Type: Full-Time
Role Overview
We are looking for an AI DevOps Engineer with strong experience in DevOps and MLOps/LLMOps to build, automate, and manage AI delivery platforms. The ideal candidate will be responsible for CI/CD pipelines, cloud infrastructure, AI deployment workflows, monitoring, security, and production readiness.
Key Responsibilities
Design and maintain CI/CD pipelines for AI applications, models, prompts, and agents.
Implement Infrastructure as Code (IaC) using Terraform or Azure Bicep.
Deploy and manage AI solutions using Azure OpenAI and Microsoft Foundry.
Manage containerized applications using Docker and Kubernetes.
Implement model and prompt versioning, automated evaluation, deployment gates, and rollback mechanisms.
Set up monitoring, logging, telemetry, and performance tracking for AI workloads.
Ensure secure deployments through secrets management, access controls, and policy enforcement.
Optimize cloud infrastructure and AI workloads for cost, scalability, and reliability.
Develop operational runbooks, deployment documentation, and production handover procedures.
Required Skills
6+ years of experience in DevOps/DevSecOps, including 2+ years in MLOps/LLMOps.
Hands-on experience with Azure DevOps or GitHub Actions.
Experience with Azure OpenAI and Microsoft Foundry deployment workflows.
Strong Python scripting and automation skills.
Proficiency in Terraform/Bicep, Docker, and Kubernetes.
Understanding of AI model, prompt, and agent versioning and automated evaluation.
Experience with monitoring, telemetry, secrets management, rollback strategies, and FinOps.
Strong understanding of cloud security, CI/CD best practices, and production deployment processes.
Deliverables
Automated CI/CD pipelines and Infrastructure as Code.
Controlled environment promotion and deployment workflows.
Monitoring dashboards and rollback procedures.
Production-ready operational runbooks and handover documentation.
👉 Interested? Share your CV at rudrakshi.jain@zidea.tech

Work arrangement
No

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