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 wherepossible.
• 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 orerror 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.