AI DevOps Engineer — Mid/Senior Level (Hyderabad)

AI DevOps Engineer — Mid/Senior Level (Hyderabad)

02 Oct
|
Stackular
|
Hyderabad

02 Oct

Stackular

Hyderabad

Job Title: AI DevOps Engineer — Mid/Senior Level
Experience: 4–7 Years
Location: Raidurg Main Road, Hyderabad.
Work Mode: In office
Work Hours: 2-11 PM
Notice Period: Immediate Joiner (15-30 days)

About the Role

We are looking for a Mid-Level AI DevOps Engineer with 4-7 years of experience in DevOps, cloud infrastructure, automation, and production deployment environments. This role will focus on building, maintaining, and improving scalable infrastructure and deployment pipelines for AI and machine learning applications.

The ideal candidate should have strong hands-on experience with cloud platforms, CI/CD, Docker, Kubernetes, infrastructure as code, monitoring, and automation, along with a working understanding of AI/ML deployment workflows.

Key Responsibilities

Cloud Infrastructure & DevOps

• Design, deploy, and manage cloud-based infrastructure for AI and software applications.

• Work with cloud platforms such as AWS, Azure, or GCP.

• Build and maintain infrastructure using tools such as Terraform, CloudFormation, Ansible.

• Support scalable, secure,



and reliable environments for production workloads.

• Optimize infrastructure for performance, cost, availability, and operational efficiency.

CI/CD & Automation

• Build and maintain CI/CD pipelines for application and AI service deployments.

• Automate build, testing, deployment, and rollback processes.

• Improve deployment reliability and reduce manual operational tasks.

• Work with tools such as Azure DevOps, GitHub Actions, Jenkins.

• Create reusable scripts, templates, and automation workflows for engineering teams.

Containerization & Orchestration

• Deploy and manage containerized applications using Docker.

• Work with Kubernetes for application deployment, scaling, networking, and troubleshooting.

• Manage Helm charts and Kubernetes manifests.

• Support production deployments and ensure application availability.

• Troubleshoot container, cluster, and infrastructure-related issues.

AI / ML

📌 AI DevOps Engineer — Mid/Senior Level (Hyderabad)
🏢 Stackular
📍 Hyderabad

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