Staff Voice AI Engineer – SRE/DevOps

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

To be successful in this role you have

For positions in this location, we offer a base pay of $176,100 - $308,200 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Responsibilities

Build software solutions to solve operational problems in the cloud-native space for Voice AI (deployments, observability, monitoring, high availability, disaster recovery, continuous integration, ...); Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.).; Work with product owners to understand detailed requirements and own your code from design, implementation, test automation, and delivery; Experience integrating LLMs into voice platforms and real-time communication systems.; Be a mentor for colleagues and help promote knowledge-sharing across telecom and AI engineering disciplines.

Requirements

4+ years of experience operating highly available distributed cloud-native workloads running on container platforms (e.g. Kubernetes); 2+ years of experience building and operating Voice AI applications is a strong asset; 4+ years of development experience with Python, GoLang, Java or similar languages.; Experience integrating applications on top of LLMs (Prompt Engineering Agents and Skills),; Working experience building distributed systems with cloud-native software,; Experience with software-defined networking, infrastructure as code and configuration management,; Experience with DevOps tooling (e.g. Helm / Ansible / Kubernetes / Prometheus /Splunk/ GitLab CI) is considered an asset; Critically thinking around AI integrations for work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.; Experience building with AI tools such as Claude Code, Cursor, Windsurf.