DevOps Engineer
Stanford Health Care · Newark, CA, United States ·
COMPENSATION
€•• – ••k
Listed on WeAreDevelopers
- Hybrid (Newark, USA)
- Senior Level
- Python + Kubernetes
- MLOps & AI Focus
- Healthcare Domain
Stanford Health Care seeks a Senior AI Platform & MLOps Engineer to architect infrastructure for autonomous, agentic systems. You will combine expert-level DevOps with agentic application development to build a robust factory where multi-agent frameworks interact with healthcare APIs.
The role requires ensuring strict MLOps observability and safety guardrails while integrating reasoning-based AI into clinical and business workflows. You will partner with researchers and clinical leaders to deploy production-grade AI and machine learning solutions.
What you'll do
- Design and maintain scalable infrastructure for AI/ML systems including cloud environments and orchestration.
- Develop CI/CD pipelines to automate deployment, testing, and monitoring of AI/ML models.
- Collaborate with data scientists and engineers to optimize model training and inference pipelines.
- Monitor and troubleshoot AI/ML systems to ensure high availability and performance.
- Maintain model training and inference pipelines across multi-cloud tenants, especially for LLMs.
- Manage Kubernetes pods, container registries, virtual machine images, and model registries.
- Monitor infrastructure utilization and costs related to model training and inference.
- Implement best practices for security, data privacy, and compliance in AI/ML workflows.
- Evaluate and integrate new tools to improve MLOps process efficiency.
- Mentor junior team members and share knowledge on MLOps and cloud technologies.
What you'll need
- Bachelor's or higher degree in Computer Science, Engineering, or related field.
- Three or more years of directly related experience.
- Proven experience as an MLOps Engineer.
- Strong knowledge of AWS, Azure, or Google Cloud platforms.
- Experience with infrastructure-as-code tools like Terraform or CloudFormation.
- Proficiency in Docker and Kubernetes for containerization and orchestration.
- Experience with CI/CD tools such as GitLab CI/CD, Github Actions, or CircleCI.
- Solid programming skills in Python, Rust, or Go with scripting automation experience.
- Familiarity with ML frameworks like PyTorch, Tensorflow, and scikit-learn.
- Deep understanding of DevOps principles, agile methodologies, and SDLC.
- Strong problem-solving skills for complex technical issues.
- Excellent communication and collaboration skills for cross-functional teams.
Stack
- LangGraph
- CrewAI
- LangSmith
- Arize
- Python
- Kubernetes
- Terraform
- CloudFormation
- Docker
- GitLab CI/CD
- Github Actions
- CircleCI
- Rust
- Go
- PyTorch
- Tensorflow
- scikit-learn
- AWS
- Azure
- Google Cloud
How you'll work
- Hybrid work model
- Location: 7600 Gateway Blvd, Newark
- Full-time position
- Day shift, 8-hour schedule