Real-Time Systems Developer
2 days ago
Backend Engineer in Real-Time CommunicationsElevate your technical skills as a Backend Engineer in real-time communications analytics and automation. Design resilient back-end services, process streaming data, and integrate with voice/telephony and cloud services.Key Responsibilities:Create backend APIs (Django/DRF), background/async jobs (Celery/RQ), and secure integrations with external services for efficient performance.Buil and optimize real-time data pipelines for call/quality metrics; own observability, tracing, and SLOs (p95/p99) for improved reliability.Troubleshoot SIP/VoIP issues using packet captures and logs; automate analysis where possible for time efficiency.Containerize workloads with Docker, contribute to CI/CD, and collaborate on cloud deployment (Azure/AWS) for scalability.Apply distributed-systems patterns (idempotency, retries, backoff, circuit breakers) for scale and fault tolerance in complex systems.Model data in PostgreSQL and MongoDB; tune indexes/queries; maintain migration discipline for data integrity.Prototype AI/ML features for analytics, anomaly detection, and conversational agents (good-to-have).Requirements:Proficiency in 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.We Offer:Competitive compensation package, professional growth opportunities, and a dynamic work environment that encourages innovation and collaboration.
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Real-Time Data Pipeline Specialist
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