Real-Time Communications Software Developer

3 days ago

Eluru, India beBeeBackend Full time

Backend Engineer RoleWe are seeking a skilled Backend Engineer to join our team in building resilient back-end services that power real-time communications analytics and automation at scale. As a Backend Engineer, you will design APIs, process streaming data, and integrate with voice/telephony and cloud services to deliver low-latency, high-reliability experiences.Key ResponsibilitiesDesign and ship backend APIs (Django/DRF), background/async jobs (Celery/RQ), and secure integrations with external services.Build 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.RequirementsPython & 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.About the RoleThis role involves designing scalable solutions for real-time communication systems. The successful candidate will be able to apply principles of distributed systems and containerization to build efficient and reliable back-end services.Skills RequiredTo succeed in this role, the ideal candidate should have expertise in Python and Django, as well as experience with cloud platforms such as Azure and AWS. Knowledge of networking fundamentals, telephony domains, and databases is also essential.Bonus SkillsA good understanding of microservices architecture, event-driven design, and database schema design would be beneficial in this role.About the CompanyWe are committed to providing a productive environment for our engineers to grow and learn. We value collaboration, open communication, and continuous improvement.],

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