Senior MLOps Engineer, vLLM Inference

Red Hat

full-time

Posted on: 9/18/2025

Origin: • 🇺🇸 United States • Massachusetts

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💰 $133,650 - $220,680 per year

Senior

AnsibleAWSAzureCloudCyber SecurityGoogle Cloud PlatformJenkinsKubernetesLinuxOpenShiftOpen SourcePythonTerraform

About the role

Collaborate with research and product development teams to scale machine learning products for internal and external applications
Create and manage model training and deployment pipelines
Actively contribute to managing and releasing upstream and midstream product builds
Test to ensure correctness, responsiveness, and efficiency
Troubleshoot, debug and upgrade Dev & Test pipelines
Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management
Collaborate with a cross-functional team about market requirements and best practices
Keep abreast of the latest technologies and standards in the field

2+ years of experience in MLOps, DevOps, Automation and modern Software Deployment practices
Experience evaluating LLMs for performance on accelerators and accuracy (think HellaSwag, MMLU, Chatbot Arena, TruthfulQA, etc.)
Being super comfortable with Python and PyTest is a must
Strong experience with Git, Github Actions including self-hosted runners, Terraform, Jenkins, Ansible, and common technologies for automation and monitoring
Highly experienced with administering Kubernetes/Openshift
Familiar with Agile development methodology
Experience with Cloud Computing using at least one of the following Cloud infrastructures: AWS, GCP, Azure, or IBM Cloud
Solid programming skills especially in Python
Solid troubleshooting skills
Ability to interact comfortably with the other members of a large, geographically dispersed team
Experience maintaining an infrastructure and ensuring stability
Familiarity with contributing to the vLLM CI community is a big plus
While a Bachelor’s degree or higher in computer science, mathematics, or a related discipline is valued, we prioritize technical prowess, initiative, problem solving, and practical experience