Real-Time Communications Specialist

6 days ago

thiruvananthapuram, India beBeeBackend Full time

Backend Engineering Opportunity We are seeking a skilled Backend Engineer to join our team. As a key member of the engineering team, you will be responsible for designing and building scalable back-end services that power real-time communications analytics and automation. Main Responsibilities:Create high-performance backend APIs (Django/DRF), background/async jobs (Celery/RQ), and secure integrations with external services.Develop and optimize real-time data pipelines for call/quality metrics; own observability, tracing, and SLOs (p95/p99).Troubleshoot SIP/VoIP issues using packet captures and logs; automate analysis where possible.Containerize workloads with Docker, contribute to CI/CD, and collaborate on cloud deployment (Azure/AWS).Apply distributed-systems patterns (idempotency, retries, backoff, circuit breakers) for scale and fault tolerance.Model data in PostgreSQL and MongoDB; tune indexes/queries; maintain migration discipline.(Good-to-have) Prototype AI/ML features for analytics, anomaly detection, and conversational agents. Requirements: Python & Django: RESTful APIs, authentication/authorization, background tasks, testing, and performance tuning.Networking fundamentals: TCP/IP, DNS, TLS, HTTP/2; practical debugging with Wireshark; familiarity with NetFlow/SNMP.Telephony domain: SIP signaling, RTP/RTCP, call flows, PSTN/VoIP basics; exposure to SBCs.Cloud & DevOps: Working knowledge of Azure/AWS, Docker; Kubernetes exposure is a plus; comfort with CI/CD and secrets management.Distributed systems: Microservices, event-driven design (queues/streams), horizontal scaling, resilience patterns.Databases: Hands-on with PostgreSQL and MongoDB (schema design, indexing, migrations, backups/restore).Mindset: Ownership, bias to automate, clear writing, and a product quality bar that values reliability and latency. Nice to Have: Kubernetes (Helm), IaC (Terraform/Bicep), metrics/log stacks (Prometheus/Grafana/ELK), OpenTelemetry.Experience with Microsoft Graph/365 ecosystems, webhooks, or real-time comms SDKs.Practical AI/ML: time-series anomaly detection, clustering, or LLM-powered workflows.

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