Staff SRE Engineer - Voice Core Platform

About the role We are building a real-time conversational AI voice platform. An orchestrator runs every call through Voice Activity Detection, Speech-to-Text, LLM-based agent matching, tool calling against ServiceNow platform (Glide) APIs, and Text-to-Speech. In voice, latency and reliability are the product. You will own the platform's reliability, performance and operational architecture, and set direction across teams. What you'll do Define and drive SLIs/SLOs for availability, perceived latency (end-of-speech to first audio), and call quality. Instrument end-to-end tracing across every pipeline stage, and lead architectural work to cut latency. Design autoscaling and capacity plans for stateful, real-time connections (WebSocket, WebRTC, SIP/RTP). Lead load, soak and breakpoint testing, and turn results into capacity models. Build resilience for LLM, STT and TTS dependencies: failover, fallbacks, rate-limit handling and graceful degradation. Own Kubernetes architecture, infrastructure-as-code and CI/CD with safe progressive delivery. Lead incident response and postmortems, and mentor engineers across the team.

To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into 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. 8+ years in SRE, DevOps, production engineering or software engineering on production systems at scale. 1+ year building or operating real-time voice systems (VoIP, SIP/RTP, WebRTC, or STT/TTS integration). 2+ years building or operating AI agentic systems and orchestration pipelines (agent routing, tool calling, multi-step LLM workflows). 1+ year deploying and operating LLMs in production (model serving, inference optimization, provider integration and failover). Strong expertise in Kubernetes, cloud infrastructure ([AWS / Azure / GCP]) and Terraform or similar. Hands-on observability experience (OpenTelemetry, Prometheus, Grafana, Datadog or similar). Proficiency in Python, Go or Java. ​​​​​​​ Nice to have Experience Inference serving experience (vLLM, Triton, GPU scheduling). Familiarity with the ServiceNow platform or enterprise SaaS backends.

Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . 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. Equal Opportunity Employer 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 We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export