Software Engineer – Voice Infra

Scry AI; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

SCRY AI is looking for a Software Engineer to build and scale voice infrastructure. You will design backend services in Python, implement robust REST APIs, and create distributed, real-time systems with telephony integrations such as SIP, RTP, and WebRTC.

You will work with Docker, Redis, Kafka, PostgreSQL, and cloud/on-prem deployments, ensuring low latency, reliability, and observability in production environments.

Qualifications

• 3+ years of software engineering experience with strong hands-on expertise in Python and backend development.
• Strong experience with FastAPI/Flask, asyncio, multithreading/multiprocessing, REST APIs, and microservices.
• Strong understanding of networking and distributed systems, including TCP/IP, HTTP/HTTPS, WebSockets, DNS, SSL/TLS, proxies, firewalls, and load balancers.
• Hands-on experience with telephony/VoIP technologies, including SIP, RTP, WebRTC, IVR, SIP Trunking, and PBX.
• Experience integrating telephony systems, communication platforms, and third-party APIs with backend applications.
• Strong understanding of concurrency, scalability, fault tolerance, high availability, and performance optimization.
• Experience with PostgreSQL/SQL, MongoDB, Redis, and messaging/queueing systems.
• Strong experience with Linux, Docker, Git, testing, debugging, and CI/CD.
• Experience with AWS or other cloud platforms; Kubernetes and observability are a plus.
• Strong debugging, problem-solving, communication, collaboration, and ownership skills.

Responsibilities

• Design, develop, and maintain scalable, high-performance backend applications using Python.
• Build robust REST APIs, microservices, and asynchronous services using FastAPI/Flask and related technologies.
• Design applications capable of handling high concurrency, traffic, and real-time workloads.
• Work extensively with TCP/IP, HTTP/HTTPS, WebSockets, DNS, SSL/TLS, proxies, load balancing, firewalls, and network troubleshooting.
• Develop and integrate telephony and communication systems, including SIP, RTP, WebRTC, IVR, VoIP, SIP Trunking, and PBX.
• Integrate backend applications with telephony providers, SIP gateways, call-routing systems, and third-party APIs.
• Build and troubleshoot real-time communication pipelines, addressing latency, connectivity, packet loss, and call-quality issues.
• Design scalable architectures using load balancing, caching, queues, distributed services, and horizontal scaling.
• Work with Redis, Kafka/RabbitMQ, PostgreSQL, MongoDB, and similar data or messaging systems.
• Containerize applications using Docker and support deployments across cloud and on-premise environments.
• Implement monitoring, logging, alerting, health checks, and performance observability for production systems.
• Troubleshoot production issues related to performance, networking, concurrency, reliability, and scalability, while following Git, testing, CI/CD, code review, and documentation practices.

Skills

Python

Backend development

FastAPI/Flask

Asyncio

Concurrency

REST APIs

Microservices

Networking

Distributed systems

Real-time

Tools

Docker

Git

CI/CD

AWS

Kubernetes

Redis

Kafka/RabbitMQ

PostgreSQL

MongoDB

Job description

Experience

Software Engineer – Voice Infra

Employment Type

Full-time

About Us

SCRY AI is an innovative AI-driven technology company focused on building intelligent, scalable, and high-performance solutions. We work with modern technologies across Software Engineering, AI/ML, and Data to solve real-world business problems and deliver impactful digital products.

Role Overview

We are looking for a skilled Software Engineer with strong expertise in Python, networking, telephony, and scalable application development. The ideal candidate should be hands-on with backend development, API integration, distributed systems, real-time communication, and production deployments, with experience building reliable and high-performance applications.

Key Responsibilities

• Design, develop, and maintain scalable, high-performance backend applications using Python.
• Build robust REST APIs, microservices, and asynchronous services using FastAPI/Flask and related technologies.
• Design applications capable of handling high concurrency, traffic, and real-time workloads.
• Work extensively with TCP/IP, HTTP/HTTPS, WebSockets, DNS, SSL/TLS, proxies, load balancing, firewalls, and network troubleshooting.
• Develop and integrate telephony and communication systems, including SIP, RTP, WebRTC, IVR, VoIP, SIP Trunking, and PBX.
• Integrate backend applications with telephony providers, SIP gateways, call-routing systems, and third-party APIs.
• Build and troubleshoot real-time communication pipelines, addressing latency, connectivity, packet loss, and call-quality issues.
• Design scalable architectures using load balancing, caching, queues, distributed services, and horizontal scaling.
• Work with Redis, Kafka/RabbitMQ, PostgreSQL, MongoDB, and similar data or messaging systems.
• Containerize applications using Docker and support deployments across cloud and on-premise environments.
• Implement monitoring, logging, alerting, health checks, and performance observability for production systems.
• Troubleshoot production issues related to performance, networking, concurrency, reliability, and scalability, while following Git, testing, CI/CD, code review, and documentation practices.

Key Qualifications

• 3+ years of software engineering experience with strong hands-on expertise in Python and backend development.
• Strong experience with FastAPI/Flask, asyncio, multithreading/multiprocessing, REST APIs, and microservices.
• Strong understanding of networking and distributed systems, including TCP/IP, HTTP/HTTPS, WebSockets, DNS, SSL/TLS, proxies, firewalls, and load balancers.
• Hands-on experience with telephony/VoIP technologies, including SIP, RTP, WebRTC, IVR, SIP Trunking, and PBX.
• Experience integrating telephony systems, communication platforms, and third-party APIs with backend applications.
• Strong understanding of concurrency, scalability, fault tolerance, high availability, and performance optimization.
• Experience with PostgreSQL/SQL, MongoDB, Redis, and messaging/queueing systems.
• Strong experience with Linux, Docker, Git, testing, debugging, and CI/CD.
• Experience with AWS or other cloud platforms; Kubernetes and observability are a plus.
• Strong debugging, problem-solving, communication, collaboration, and ownership skills.

Good to Have

• Experience with Kubernetes, distributed systems, cloud-native architectures, and production observability.
• Exposure to SIP proxies, media servers, WebRTC infrastructure, telephony platforms, or real-time communication frameworks.
• Experience with AI/ML, Voice AI, ASR/TTS, conversational AI, or integrating AI services into real-time communication systems.

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