Back End Developer
Vobiz AI
2 - 5 years
Bengaluru
Posted: 09/04/2026
Job Description
Vobiz.ai is an AI-first telephony infrastructure platform that enables businesses to build and scale real-time voice applications. We power AI voice agents, programmable contact centers, and intelligent communication workflows by combining telephony, real-time audio streaming, and modern AI.
Our platform helps developers integrate voice into their products using APIs, webhooks, and streaminghandling large-scale, low-latency communication systems across industries like fintech, healthcare, logistics, and e-commerce. Built for scale and reliability, Vobiz abstracts the complexity of telephony so teams can go from idea to production in minutes.
Were looking for a Backend Developer with strong experience in Golang and Python to help us build and scale distributed systems that power real-time voice infrastructure.
- Build and scale backend services using Golang and Python
- Design and implement microservices architectures
- Work on large-scale distributed systems with high availability and low latency
- Develop and deploy services on AWS or Azure
- Design and optimize databases (PostgreSQL, Redis)
- Collaborate with product, frontend, and DevOps teams
- Contribute to system design, architecture, and performance optimization
- Manage infrastructure using Terraform and IaC practices
- 37 years of backend development experience
- Strong hands-on experience with Golang and/or Python
- Experience building microservices on AWS or Azure
- Solid understanding of distributed systems and scalability
- Experience with PostgreSQL and Redis (SQL + NoSQL)
- Familiarity with REST APIs, async systems, and event-driven architecture
- Experience with Terraform or similar IaC tools
- Experience with Docker / Kubernetes
- Exposure to real-time systems or streaming architectures
- Familiarity with CI/CD pipelines
- Knowledge of monitoring/logging tools (Prometheus, Grafana, ELK)
Why Join Us
- Work on cutting-edge AI + real-time voice infrastructure
- Solve high-scale engineering problems
- High ownership, fast-moving startup environment
- Opportunity to build systems used in production at scale
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