Backend engineer – real-time communications

2 days ago

Bharatpur, India EzAIx Full time

Location: Remote (India) • Type: Full-time • Seniority: SDE II–III Eligibility: IIT candidates only (B. Tech in progress or completed ). Self-learners who love to upskill are welcome—but IIT status is mandatory . Why this role Help build resilient back-end services that power real-time communications analytics and automation at scale. You’ll design APIs, process streaming data, and integrate with voice/telephony and cloud services to deliver low-latency, high-reliability experiences. What you’ll do Design 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/Vo IP 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 Postgre SQL and Mongo DB ; tune indexes/queries; maintain migration discipline. (Good-to-have) Prototype AI/ML features for analytics, anomaly detection, and conversational agents. What you’ll bring (must-have) 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 Net Flow/SNMP . Telephony domain : SIP signaling , RTP/RTCP, call flows, PSTN/Vo IP basics; exposure to SBCs . Cloud & Dev Ops : 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 Postgre SQL and Mongo DB (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), Ia C (Terraform/Bicep), metrics/log stacks (Prometheus/Grafana/ELK), Open Telemetry. Experience with Microsoft Graph/365 ecosystems, webhooks, or real-time comms SDKs. Practical AI/ML : time-series anomaly detection, clustering, or LLM-powered workflows. 90-Day success profile 30 days: Ship a well-tested Django service with one external integration; add dashboards/alerts for core SLOs. 60 days: Deliver an automated SIP call-flow parser or PCAP → insights tool; reduce a p99 latency or error budget hot spot. 90 days: Lead a small initiative end-to-end (design → deploy → postmortem), document runbooks, and mentor a junior dev. What we offer Impact on critical, high-scale real-time systems. Autonomy, fast feedback loops, and a builder culture. Competitive compensation; remote-first with flexible hours aligned to IST.

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