Position Details

Type Not Specified

Experience mid

Exp. Years 5+ years

Education Bachelor's or master's degree in Computer Science, Information Systems, Electrical Engineering, or related fields

Category DevOps & SRE

About this role

This role involves supporting the development and deployment of machine learning software, optimizing CI/CD pipelines, and managing cloud infrastructure for NVIDIA's Metropolis AI platform.

Key Responsibilities

Develop ML software
Enhance CI/CD pipelines
Manage cloud infrastructure
Collaborate with teams
Troubleshoot deployment issues

Technical Overview

Focus on ML frameworks, CI/CD automation, container orchestration with Docker and Kubernetes, and cloud deployment on AWS, Azure, or GCP.

Ideal Candidate

The ideal candidate is a mid-level DevOps engineer with over 5 years of experience in cloud infrastructure, automation, and deploying machine learning frameworks. They should be proficient with Docker, Kubernetes, Jenkins, and cloud platforms like AWS, Azure, or GCP, capable of managing scalable ML deployment solutions.

Must-Have Skills

Bachelor's or master's degree in related field5+ years in software engineeringExperience with CI/CD and cloud infrastructureProficiency with DockerKubernetesJenkinsTerraformExperience with AWSAzureor GCPStrong programming skills in PythonAbility to develop scalable solutions

Nice-to-Have Skills

Experience in deploying machine learning frameworksLeadership skillsExperience with large-scale ML softwareFamiliarity with version control systems

Tools & Platforms

DockerKubernetesJenkinsTerraformAWSAzureGCPPython

Required Skills

Machine Learning frameworksCI/CDDockerKubernetesJenkinsTerraformAWSAzureGCPPython

Hard Skills

Machine LearningML frameworksCI/CDCloud infrastructureDockerKubernetesJenkinsTerraformAWSAzureGCPPythonSoftware deploymentScalabilityAutomationOrchestration

Soft Skills

LeadershipTeam collaborationProblem-solvingCommunicationCritical thinking

Industry & Role

Industry Technology/AI/Smart City

Job Function DevOps engineering and cloud infrastructure management for AI applications

Keywords for Your Resume

DevOps EngineerCI/CDDockerKubernetesJenkinsTerraformAWSAzureGCPPythonML frameworksSoftware deploymentScalabilityAutomationOrchestrationDevOps

Deal Breakers

Less than 5 years of experience, Lack of experience with cloud platforms or CI/CD tools, No proficiency in Python, Inability to work on-site or as specified

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Senior DevOps Engineer - Metropolis

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