Infrastructure Engineer

SourcingXPress; Surat; On-site; INR 700,000 - 1,000,000; Full time

Benefits offered by this job

WebRTC basics

Streaming media tooling

Always-on systems

Job summary

VideoSDK is a developer-first real-time communication platform building real-time audio and voice AI infrastructure. The Voice AI Infrastructure Engineer will implement services that process audio across ASR, LLM, and TTS stages, and ensure sub-second latency in a production environment.

You will work with Go, Rust, or Python on the real-time audio path, deploy on Kubernetes, and use Redis for state and signaling, while instrumenting performance with Prometheus, Grafana, and OpenTelemetry.

Qualifications

• 1+ years writing backend code that ran in production.
• Solid in at least one of Go, Rust, or Python.
• Working knowledge of Docker; comfortable with Kubernetes or keen to get there fast.

Responsibilities

• Write services in Go, Rust, or Python that sit on the real-time audio path.
• Deploy, scale, and debug on Kubernetes and Docker.
• Use Redis for session state, pub/sub signaling, and rate limiting.
• Instrument the pipeline with traces and metrics, including per-turn latency breakdowns (ASR - LLM - TTS).
• Chase down tail latency, jitter, and dropped sessions.

Skills

Go

Rust

Python

Education

BE/BTech in CS/IT

Tools

Docker

Kubernetes

Redis

Prometheus

Grafana

OpenTelemetry

Job description

Company: VideoSDK

Website: Visit Website

LinkedIn: Visit LinkedIn

Business Type: Startup

Company Type: Product

Business Model: B2B

Funding Stage: Seed

Industry: Information Technology

Job Description

Position: Voice AI Infrastructure Engineer

Location: Surat, Gujarat (Onsite)

Education: BE/BTech in CS/IT.

VideoSDK is a developer-first real-time communication platform building infrastructure for real-time video, audio, live streaming, and AI voice applications. We provide low-latency, scalable APIs and SDKs that power voice AI agents, conversational experiences, and real-time communication at scale, solving complex problems across real-time audio, WebRTC, media infrastructure, distributed systems, and cloud scalability.

The role

We build voice agents that talk to people in real time. A phone call has no loading spinner — every millisecond of latency is audible. You'll help build and run the infrastructure that moves audio through speech recognition, an LLM, and speech synthesis, and back again, inside a sub-second budget. This is an infrastructure role, not a modeling role.

What You'll Do

• Write services in Go, Rust, or Python that sit on the real-time audio path
• Deploy, scale, and debug on Kubernetes and Docker
• Use Redis for session state, pub/sub signaling, and rate limiting
• Instrument the pipeline with traces and metrics, including per-turn latency breakdowns (ASR - LLM - TTS)
• Chase down tail latency, jitter, and dropped sessions

What We're Looking For

• 1+ years writing backend code that ran in production — internships and substantial side projects count
• Solid in at least one of Go, Rust, or Python
• Working knowledge of Docker; comfortable with Kubernetes or keen to get there fast
• Some exposure to Redis and to observability tooling like Prometheus, Grafana, or OpenTelemetry
• Genuine interest in real-time systems, where latency is a correctness problem rather than a nice-to-have

Nice to have

• WebRTC, SIP/telephony, RTP, Opus
• LiveKit, Pion, or any streaming media work
• Anything you've shipped that had to stay up