DevOps Engineer
Stanford Medicine2 months ago
Newark, CA, USAMid Level
Responsibilities
- Design, build, and maintain scalable cloud infrastructure, containerization, and orchestration platforms for AI/ML systems.
- Develop CI/CD pipelines for deploying, testing, and monitoring AI/ML models and applications.
- Optimize model training, deployment, inference, and large-language-model pipelines across multi-cloud tenants.
- Maintain Kubernetes pods, container registries, virtual machine image libraries, model registries, and infrastructure-as-code repositories.
- Monitor system availability, performance, reliability, infrastructure utilization, costs, and GPU usage.
- Implement security, data privacy, compliance, and observability best practices for AI/ML workflows and infrastructure.
- Build agentic applications, tool-calling logic, healthcare API integrations, and Python RAG pipelines.
- Evaluate MLOps tools and frameworks, troubleshoot complex issues, establish SDLC standards, and mentor junior team members.
Requirements
- Bachelor’s or higher degree in Computer Science, Engineering, or a related field.
- Three or more years of directly related experience.
- Proven experience as an MLOps Engineer and strong knowledge of AWS, Azure, or Google Cloud.
- Experience with Terraform or CloudFormation, Docker, Kubernetes, and CI/CD tools such as GitLab CI/CD, GitHub Actions, or CircleCI.
- Programming and scripting experience with Python, Rust, or Go.
- Familiarity with PyTorch, TensorFlow, and scikit-learn.
- Understanding of DevOps principles, software development lifecycle practices, machine learning systems, troubleshooting, and cross-functional collaboration.
- Experience with agentic application development, LangGraph, CrewAI, RAG pipelines, healthcare APIs, and ML observability tools is relevant to the role.
Benefits
- Day shift with an 8-hour schedule in the United States of America.
- Base pay scale generally starting at $79.21–$104.97 per hour.
- Opportunity to support patient care, medical research, and operational services through production AI and machine learning.
- Stanford Health Care is an equal opportunity employer committed to diversity and non-discrimination.