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.
