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Backend Systems Engineer (Realtime)

Backend Systems Engineer (Realtime)

ezAIx Inc.Republic Of India, IN
10 hours ago
Job description

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.

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    Backend Engineer • Republic Of India, IN

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