ServiceNow: Staff SRE Engineer - Voice Core Platform — Hyderabad, Telangana, India
ServiceNow lists a Staff SRE Engineer - Voice Core Platform opening in Hyderabad, Telangana, India. The position is listed as full-time. The job description covers Kubernetes, CI/CD, ServiceNow, AI, incident response.
Recruitment overview
| Organisation | ServiceNow |
|---|---|
| Post / role | Staff SRE Engineer - Voice Core Platform |
| Department | Product |
| Employment type | Full-time |
| Notification / job ID | JB0075950 |
| Job location | Hyderabad, Telangana, India |
| Work arrangement | On-site |
| Educational qualification | Degree / qualification: To be successful in this role you have: |
| Experience required | 8+ years in SRE, DevOps, production engineering or software engineering on production systems at scale |
| Salary / stipend | See employer notice for pay details |
| Last date to apply | See official notice |
About ServiceNow
ServiceNow develops an enterprise software platform bringing together data, workflows and AI for business operations. Its employer introduction traces the business to automating a repetitive workplace task and describes a continuing focus on freeing people from routine work. The platform is intended to connect technology with how organisations carry out their processes. This makes workflow automation and the use of information in everyday business activity central themes, rather than a product aimed at only one industry.
The position and its setting
ServiceNow lists Staff SRE Engineer - Voice Core Platform in Hyderabad, Telangana, India, under reference JB0075950. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.
- Department: Product
- Employment type: Full-time
- Employer listing date: 12 October 2026
- Brands: ServiceNow
Responsibilities and work described
- 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
- Own the platform's reliability, performance and operational architecture, and set direction across teams
- 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)
- Leadership: load, soak and breakpoint testing, and turn results into capacity models
- Building: 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
- Leadership: incident response and postmortems, and mentor engineers across the team
Essential requirements and candidate background
- To be successful in this role you have:
- Experience: 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)
- Expertise in Kubernetes, cloud infrastructure ([AWS / Azure / GCP]) and Terraform or similar
- Hands-on observability experience (OpenTelemetry, Prometheus, Grafana, Datadog or similar)
- Proficiency: Python, Go or Java
Preferred experience and additional strengths
- Experience Inference serving experience (vLLM, Triton, GPU scheduling)
- Familiarity: the ServiceNow platform or enterprise SaaS backends
Location, schedule and contract conditions
- Work arrangement: On-site
- Advertised location: Hyderabad, Telangana, India
Employer details to confirm
- The employer’s seniority category and its stated experience requirements do not agree. Follow the role-specific requirements above rather than assuming this is a fresher opening.
Pay and application dates
A verified salary figure is not established in this article. An online estimate for another Staff SRE Engineer - Voice Core Platform vacancy is not an offer for reference JB0075950; use the employer’s own pay disclosure and recruitment communication.
A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.
How to apply to ServiceNow
Applications follow the official employer page linked below.
Open the official ServiceNow posting below and match the title and reference JB0075950.
Compare your qualifications and experience with the essential conditions for the Hyderabad, Telangana, India position, then read the preferred criteria separately.
Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.
Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.
Practical preparation: Python
Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.
Relevant skills
- Python
- Java
- Kubernetes
- CI/CD
- AWS
- GCP
- Azure
- APIs
- AI/ML
- LLMs
- ServiceNow
- AI
- incident response
- Google Cloud
Important links
| Official notification / job description | Open official page |
|---|---|
| Online application portal | Open official page |
Read the complete official notice before applying. Availability and requirements can change.
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