Backend engineer – real-time communications (python / django, voip, cloud)

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.