Design and develop scalable microservices and backend systems that power real-time AI and voice workflows.
Own end-to-end system design—from architecture, APIs, to deployment and monitoring.
Optimize systems for performance, concurrency, and fault tolerance at high scale.
Implement best practices for observability, testing, and resilience (Datadog, Sentry, etc.).
Collaborate with product and AI teams on multi-agent orchestration and automation layer.

🎯 Requirements

3–6 years backend development experience in Python or Java.
Strong system design, concurrency, and distributed systems.
Experience building scalable, high-availability APIs or streaming systems.
Familiarity with WebRTC, SIP, RTP, or other real-time protocols.
Experience with cloud environments (GCP/AWS) and containerized deployments (Kubernetes, Docker).
Databases (MongoDB, Redis, Postgres) and message queues (Kafka, Pub/Sub).

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