{"id":2369892,"url":"https://alion.io/job/servicenow-staff-sre-engineer-voice-core-platform","title":"Staff SRE Engineer - Voice Core Platform","company":{"id":97,"name":"ServiceNow","domain":"servicenow.com","url":"https://alion.io/company/servicenow","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":81,"open_postings":37,"ghost_share":0,"stale_share":0.973,"repost_share":0,"time_to_fill_p50_days":18,"computed_at":"2026-11-01T06:10:25Z"}},"role":"DevOps","role_family":"DevOps","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":64000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Datadog","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Glide","optional":false},{"name":"Grafana","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Progressive Delivery","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"ServiceNow","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Terraform","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"WebRTC","optional":false},{"name":"WebSockets","optional":false},{"name":"Kotlin","optional":true},{"name":"Triton","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-10-12T12:38:28Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-11-02T01:48:56Z","board_verified":true,"closed_at":null,"days_open":20,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":20},"description":"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.\nJoin us to put AI to work for people.\nAbout the role\nWe 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.\nIn voice, latency and reliability are the product. You will own the platform's reliability, performance and operational architecture, and set direction across teams.\nWhat you'll do\nDefine and drive SLIs/SLOs for availability, perceived latency (end-of-speech to first audio), and call quality.\nInstrument end-to-end tracing across every pipeline stage, and lead architectural work to cut latency.\nDesign autoscaling and capacity plans for stateful, real-time connections (WebSocket, WebRTC, SIP/RTP).\nLead load, soak and breakpoint testing, and turn results into capacity models.\nBuild resilience for LLM, STT and TTS dependencies: failover, fallbacks, rate-limit handling and graceful degradation.\nOwn Kubernetes architecture, infrastructure-as-code and CI/CD with safe progressive delivery.\nLead incident response and postmortems, and mentor engineers across the team.\n To be successful in this role you have:\nExperience 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.\n8+ years in SRE, DevOps, production engineering or software engineering on production systems at scale.\n1+ year building or operating real-time voice systems (VoIP, SIP/RTP, WebRTC, or STT/TTS integration).\n2+ years building or operating AI agentic systems and orchestration pipelines (agent routing, tool calling, multi-step LLM workflows).\n1+ year deploying and operating LLMs in production (model serving, inference optimization, provider integration and failover).\nStrong expertise in Kubernetes, cloud infrastructure ([AWS / Azure / GCP]) and Terraform or similar.\nHands-on observability experience (OpenTelemetry, Prometheus, Grafana, Datadog or similar).\nProficiency in Python, Go or Java.\nNice to have\nExperience Inference serving experience (vLLM, Triton, GPU scheduling).\nFamiliarity with the ServiceNow platform or enterprise SaaS backends.\nWork Personas\nWe 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.\nEqual Opportunity Employer\nServiceNow 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.\nAccommodations\nWe 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  for assistance.\nExport Control Regulations\nFor 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 control authorities.\nFrom Fortune. ©2026 Fortune Media IP Limited. All rights reserved. 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