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Mid-level backend title, Bangalore location, and generalist backend requirements amplify applicant competition.
Core backend skills are transferable, but WebRTC, SIP, and Voice AI requirements increase domain specificity.
Explicit 3–6 years plus mandatory backend, cloud, and real-time protocol skills enforce strict shortlisting.
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Design and develop scalable microservices and backend systems for real-time AI and voice workflows.
Own end-to-end system architecture, including APIs, data models, deployment, and monitoring.
Optimize systems for high performance, concurrency, fault tolerance, and implement best practices for observability and resilience.
3+ years of backend development experience in Python or Java.
Strong understanding of system design, concurrency, and distributed systems.
Experience with real-time communication protocols such as WebRTC, SIP, or RTP.
Familiarity with cloud environments (GCP/AWS) and containerized deployments (Kubernetes, Docker).
Experienced in building scalable, high-availability APIs or streaming systems in backend environments.
Comfortable working with multi-agent orchestration and automation layers in AI and voice platforms.
Has operational experience with databases (MongoDB, Redis, Postgres) and message queues (Kafka, Pub/Sub).