Software Engineer – Voice Infra

About the job Company: SCRY AI Location: Multiple 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. If this role interests you, follow our page to stay updated on more job opportunities and insights into how AI companies engineer real-time voice infrastructure and conversational AI systems for enterprise applications.