ServiceNow

ServiceNow

Staff Machine Learning Engineer - VoIP Infrastructure

Boston, Massachusetts, United States · Staff+ · Contract

Sponsorship not specifiedDetected 1 day ago
PythonJavaGoDistributed SystemsCode ReviewGitKubernetesAnsibleHelmPrometheusDevOpsSite Reliability EngineeringMachine LearningLLMsTest AutomationVoIPCommunication

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 86 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 90%

Of 127 labor certifications old enough to have been used, 13 expired without the employer filing the next step. Median time from filing to decision: 473 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

108 transfer filings in the last year, covering 258 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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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.
  • To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

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

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
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This listing is sourced directly from ServiceNow's careers page and normalized into a canonical job model.