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Principal Engineer – Platform Engineering
at
Hippocratic AI
Palo Alto, California, United States
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Not Specified
Compensation
Senior (5 to 8 years), Expert & Leadership (9+ years)
Experience Level
Full Time
Job Type
Unknown
Visa
Healthcare, Artificial Intelligence
Industries
Requirements
12+ years in software engineering with strong experience in platform or distributed systems
Deep knowledge of AWS, GCP, or Azure, and multi-cloud architectures
Expertise in IaC tools (Terraform, Pulumi) and CI/CD automation
Experience with Kubernetes, GPU orchestration, or model-serving (e.g., Ray, Triton, SGLang)
Proficiency with observability tools (Prometheus, Grafana, OpenTelemetry, Datadog)
Strong understanding of cloud security, networking, and cost optimization
Excellent communicator and mentor; strong cross-team collaboration skills
Responsibilities
Architect and scale the multi-cloud platform for AI inference and SaaS workloads
Lead design for performance, reliability, and cost optimization
Build automation and tooling using infrastructure-as-code and CI/CD best practices
Partner with research to productionize models efficiently
Improve observability, telemetry, and incident response
Foster a culture of technical and operational excellence
Hire and mentor strong engineers to guide long-term technical strategy
Evaluate emerging technologies in AI infra, GPU orchestration, and distributed systems
Define the technical direction for our platform
Architect systems for large-scale model training and inference
Skills
Platform Engineering
Infrastructure
Multi-Cloud
AI Models
Model Training
Model Inference
SaaS
System Architecture
Scalability
Hiring
Mentoring
Hippocratic AI
Website
About Hippocratic AI
N/A
Headquarters
N/A
Year Founded
N/A
Company Stage
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