Principal Machine Learning Engineer
Core
Design and build cloud-native infrastructure and scalable Kubernetes-based systems to power ServiceNow's Agentic AI and conversational experiences.
Role type
Principal Machine Learning Engineer (Infrastructure & Platform)
Builds
Cloud-native platform services, scalable Kubernetes infrastructure, and distributed systems for AI/ML workloads.
Domain
Enterprise SaaS, Cloud Infrastructure, AI/ML Platforms
Deliverable
production ML models
Required skills
Distributed systems architecture, Kubernetes, Cloud platforms (AWS/Azure/GCP), Systems programming (Java/Go/Python), CI/CD & GitOps, Terraform, Platform engineering, Technical strategy, Mentoring
Preferred skills
AI/ML infrastructure, GPU workloads, Model serving, Internal developer platforms, Multi-agent architectures, Modern observability (OpenTelemetry/Prometheus)
Technologies
Kubernetes, AWS, Azure, Google Cloud, Terraform, Helm, ArgoCD, OpenTelemetry, Prometheus, Grafana, Datadog
Responsibilities
Lead technical direction and architecture for cloud-native platform services; Design and implement scalable Kubernetes infrastructure; Drive automation for provisioning, deployment, and operations; Establish architectural standards and best practices; Mentor senior engineers; Lead architecture reviews on scalability and reliability.
Seniority
Principal, hands-on IC with strategic leadership
