Senior Voice AI SRE/DevOps Engineer

ServiceNow; Santa Clara (CA); On-site; USD 176,000 - 308,000; Full time

Benefits offered by this job

Flexible spending accounts

401(k) Plan with company match

ESPP, matching donations

Flexible time away plan

Family leave programs

Job summary

ServiceNow is seeking a Staff Voice AI Engineer – SRE/DevOps in Santa Clara. You will design and deliver cloud-native solutions for Voice AI, ensuring high availability and observability, and integrate LLMs into real-time voice platforms.

You will mentor teammates, enforce best practices in software engineering, and work with product owners from design through delivery. 4+ years in cloud-native DevOps and AI tooling are expected.

Qualifications

• 4+ years operating highly available distributed cloud-native workloads on containers.
• 2+ years building and operating Voice AI applications.
• 4+ years of development in Python/Go/Java or similar.
• Experience integrating applications on top of LLMs (Prompt Engineering Agents).
• Experience with cloud-native distributed systems and infra as code.
• Familiarity with DevOps tooling (Helm/Ansible/Kubernetes/Prometheus/Splunk/GitLab CI).
• Experience using AI tools for work processes and automation.

Responsibilities

• Build solutions for Voice AI in a cloud-native, high-availability setup.
• Deliver clean, scalable code with code reviews and unit tests.
• Collaborate with product owners from design to delivery.
• Integrate LLMs into voice platforms and real-time systems.
• Mentor teammates and foster knowledge sharing across teams.

Skills

Python

GoLang

Java

LLMs

Distributed systems

Cloud-native

DevOps tooling

AI integrations

Tools

Kubernetes

Prometheus

Splunk

GitLab CI

Helm

Ansible

Job description

ServiceNow is seeking a Staff Voice AI Engineer – SRE/DevOps in Santa Clara. You will design and deliver cloud-native solutions for Voice AI, ensuring high availability and observability, and integrate LLMs into real-time voice platforms.

You will mentor teammates, enforce best practices in software engineering, and work with product owners from design through delivery. 4+ years in cloud-native DevOps and AI tooling are expected.