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/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. 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

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. Nice to have Kubernetes (Helm), IaC (Terraform/Bicep), metrics/log stacks (Prometheus/Grafana/ELK), OpenTelemetry. 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.