ServiceNow
Staff Machine Learning Engineer - VoIP Infrastructure
Dallas, Texas, United States · Staff+ · Contract
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
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DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Dallas-Fort Worth-Arlington, TX. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis.
- Today, ServiceNow is the AI control tower for business reinvention.
- 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.
Responsibilities
- Contribute to the design, development and implementation of VoIP infrastructure, telephony platforms, and observability features that power AI-driven voice workloads
- Collaborate with engineering, Product, and infrastructure teams to ensure our voice and AI platforms perform efficiently, scale reliably, and integrate seamlessly across SIP/RTP, Kamailio, RTPEngine, and related telecom systems.
- Contribute to the execution of deployment and support activities for VoIP systems and AI/ML developers operating in production voice environments.
- 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 - spanning both telephony infrastructure and LLM integration layers.
- Hands-on experience building VoIP systems using SIP/RTP protocols;
- Experience integrating applications on top of LLMs (using existing models, not building them);
- Experience in prompt engineering and developing LLM based features
- Working experience building distributed systems with cloud-native software;
- Experience building software for compliance and security in regulated environments is considered an asset
Requirements
- 4+ years of development experience with Python, GoLang, Java or similar languages.
- 4+ years of experience operating highly available distributed workloads on Kubernetes following a DevOps approach.
- 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
Compensation
- $176k-$308k
Benefits
- 4+ years of experience with infrastructure and platform operations, deployments, SRE, and DevOps with a continued focus on improving Platform health is considered an asset
Equal opportunity
- ServiceNow is an equal opportunity employer.
- All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law.
- In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
- Accommodations
Visa & Work Authorization
- Export Control Regulations
This listing is sourced directly from ServiceNow's careers page and normalized into a canonical job model.