Backend Engineer – Real-Time Communications (Python/Django, VoIP, Cloud)

Location: Remote (India) Type: Full-time Seniority: SDE IIIII

Eligibility: IIT candidates only (B.Tech in progress or completed ). Self-learners who love to upskill are welcomebut IIT status is mandatory .

Why this role

Help build resilient back-end services that power real-time communications analytics and automation at scale. Youll design APIs, process streaming data, and integrate with voice/telephony and cloud services to deliver low-latency, high-reliability experiences.

What youll 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 youll 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.