It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. Backed by Greylock and Sequoia.
About the role
In this role you will play a key role in defining and building the cloud-native infrastructure that powers ServiceNow's next generation of Agentic AI and conversational experiences. As a Principal Engineer, you will drive architecture and technical strategy across multiple engineering organizations while remaining deeply hands-on in solving complex platform and scalability challenges. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
More about this role
In this role you will play a key role in defining and building the cloud-native infrastructure that powers ServiceNow's next generation of Agentic AI and conversational experiences. As a Principal Engineer, you will drive architecture and technical strategy across multiple engineering organizations while remaining deeply hands-on in solving complex platform and scalability challenges.
- Lead the technical direction, architecture, and evolution of cloud-native platform services supporting Agentic AI initiatives.
- Drive the design and implementation of scalable Kubernetes-based infrastructure that supports AI/ML and conversational workloads at enterprise scale.
- Partner with engineering, infrastructure, product, and platform teams to modernize critical services and accelerate the transition to next-generation architectures.
- Design and build highly available, secure, observable, and resilient distributed systems supporting mission-critical customer workloads.
- Establish architectural standards, engineering best practices, and platform patterns that can be leveraged across multiple product teams.
- Drive automation across infrastructure provisioning, deployment pipelines, service...
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