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DevOps Engineer AI Applications (Docker,) @ Harshvani Global

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 DevOps Engineer AI Applications (Docker,)

Job Description

    About The Role 3-5 years Proven expertise deploying and scaling applications on AWS (ECS, EKS, S3, EC2) and/or Azure (AKS, Azure ML, Blob Storage). Experience supporting AI/ML workflows, including model training, serving, and MLOps. Familiarity with Kubeflow, MLflow, Ray, or similar AI-centric orchestration tools (a plus). Strong scripting and automation skills (e.g., Python, Bash, YAML). Proficient with monitoring tools like Prometheus, Grafana, Datadog, or Azure Monitor. Design, implement, and manage Azure Kubernetes Service (AKS) clusters. Design, deploy, and manage Dockerized AI/ML applications on AWS and Azure environments. Monitor and optimize the performance of AKS clusters. Troubleshoot and resolve issues related to AKS and containerized applications. Implement security measures to protect AKS clusters and containerized applications. Collaborate with development teams to support application deployment and maintenance. Maintain documentation for AKS configurations, processes, and procedures. Automate deployment, scaling, and management of containerized applications using AKS. Participate in on-call rotation for after-hours support. Designing and deploying Kubernetes clusters to ensure stability, scalability, and security. Monitor, log, and troubleshoot distributed AI workloads to ensure performance and uptime. Automating deployment and scaling of containerized applications. Monitor and troubleshoot Kubernetes environments to maintain performance and reliability. Collaborating with development teams to implement CI/CD pipelines and optimize workflows. Ensuring security and compliance of the Kubernetes infrastructure. Upgrading Kubernetes Node. Preferred Qualifications Certification in AWS (e.g., AWS DevOps Engineer) or Azure (e.g., Azure DevOps Expert). Experience with GPU-based workloads and cloud-native AI accelerators. Knowledge of hybrid or multi-cloud deployments. Exposure to data engineering tools and AI/ML pipeline orchestration What We Offer Opportunity to work on cutting-edge AI infrastructure Collaborative and innovative team environment Competitive salary + benefits + equity (if applicable),

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: IT Operations / EDP / MIS
Functional Area: Not Specified
Role/Responsibilies: DevOps Engineer AI Applications (Docker,)

Contact Details:

Company: Tailai
Location(s): Hyderabad

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Keyskills:   AWS Azure ECS Python Bash YAML Docker Data engineering EC2 Ray

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Harshvani Global

Thanks & Regards, Shivani Harshvani Global Network Pvt. Ltd.