Backend engineer – real-time communications

20 hours ago

Ajmer, India EZAIX Full time

Location: Remote (India) • Type: Full-time • Seniority: SDE II–IIIEligibility: IIT candidates only (B. Tech in progress or completed). Self-learners who love to upskill are welcome—but IIT status is mandatory.Why this roleHelp 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 doDesign 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 haveKubernetes (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 profile30 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 offerImpact 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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