Principal Machine Learning Engineer
ServiceNow1 day ago
Base Salary
$240k - $420k/yr
Responsibilities
- Lead the technical direction, architecture, and evolution of cloud-native platform services supporting Agentic AI initiatives.
- Design and implement scalable Kubernetes-based infrastructure for AI/ML and conversational workloads.
- Build highly available, secure, observable, and resilient distributed systems for mission-critical customer workloads.
- Drive automation for infrastructure provisioning, deployment pipelines, service operations, monitoring, and incident response.
- Establish architectural standards, engineering best practices, and reusable platform patterns across product teams.
- Lead architecture reviews and guide scalability, reliability, performance, security, and operational excellence.
- Own technical initiatives from concept through production deployment and influence architecture across organizational boundaries.
- Mentor senior engineers and provide technical leadership across engineering, infrastructure, product, and platform teams.
Requirements
- 15+ years of experience building large-scale distributed systems, cloud platforms, infrastructure services, or enterprise SaaS products.
- Deep expertise in Java, Go, Python, or similar systems programming languages.
- Proven experience designing, building, and operating highly scalable cloud-native architectures.
- Expert knowledge of Kubernetes, containers, orchestration platforms, and modern cloud infrastructure.
- Experience building platform services used across multiple engineering teams and products.
- Strong understanding of distributed-systems principles including resiliency, fault tolerance, scalability, performance optimization, and observability.
- Experience with AWS, Azure, or Google Cloud at large scale.
- Expertise in infrastructure automation, Terraform, Helm, ArgoCD, GitOps, or comparable technologies.
- Strong software engineering fundamentals in object-oriented design, system design, architecture patterns, and performance optimization.
- Experience leading technical strategy and influencing architecture across multiple organizations without direct authority.
- Demonstrated ability to build platform capabilities from concept through large-scale production adoption.
- Strong communication skills for explaining technical tradeoffs to engineering and executive leadership.
- Preferred experience with AI/ML, generative AI, agentic systems, conversational platforms, GPU workloads, model serving, inference platforms, or AI runtime environments.
- Preferred experience with internal developer platforms, platform engineering, SRE, cloud infrastructure organizations, multi-agent architectures, orchestration platforms, workflow engines, or large-scale automation systems.
- Preferred experience with OpenTelemetry, Prometheus, Grafana, Datadog, or equivalent observability platforms.
- Preferred experience modernizing legacy architectures into cloud-native distributed services.
Benefits
- Base pay is $240,100-$420,200, plus equity when applicable, variable/incentive compensation, and benefits.
- Health plans, including flexible spending accounts, are offered.
- 401(k) plan with company match, ESPP, matching donations, flexible time away, and family leave programs are offered.
- The role uses a flexible work persona within ServiceNow’s distributed work model.
- Employee type is regular, and the listed region is North America and Canada.
Categories
About ServiceNow
ServiceNow builds a cloud platform for enterprise digital workflows, covering IT service management, customer service, HR service delivery, security operations, and operations management, plus tools for custom app development. It sells subscription SaaS to large organizations and public-sector agencies to automate processes and connect data across systems. Founded in 2004 and headquartered in Santa Clara, California, ServiceNow is a public company listed on the NYSE under the ticker NOW.