Full Stack Engineer

4 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Company Description

NGF132


Joining bonus



Senior Backend Engineer (Realtime + Scale + Production Ownership)

Realtime Systems (Tracking + ETA)

 

About the role

Own the end to end backend and production for a real-time ETA (Fleet management)(dairy/food collection-to warehouse), multi-tenant platform that streams live location data and delivers accurate ETAs at scale. Your responsibility is to design, ship, and operate


What you’ll do

1) Architecture + Delivery Plan

Design the full scalable system blueprint (data model, APIs, realtime flow, auth, cost-control) and define a clear staging→production rollout with reliability guardrails so the team can implement confidently.

2) Realtime Location + Fan-out

Build the collector GPS ingestion pipeline (validated + throttled) and stream updates only to authorized subscribers, ensuring reconnect/late-join/resume works smoothly under peak load.

3) ETA Engine + Cost Control

Deliver stable, accurate ETA without excessive Maps calls by using caching/route snapshots/periodic recalibration (and client-assist where useful), with graceful fallback behavior during traffic/maps failures.

4) Alerts + Notifications

Implement arrival alerts with anti-spam debouncing, delivered through in-app events and push notifications (FCM/APNS) reliably at scale.

5) Multi-tenant Security

Enforce strict tenant isolation across auth/API/DB, secure collector onboarding/auth (token/QR with rotation), and prevent abuse via rate limiting and protections against replay/spoofing/tenant hopping.

6) Production Ownership

CI/CD

7) Mentor team

Provide strong backend contracts, review and guide implementations, and keep delivery fast but maintainable by enforcing clean patterns and production-grade standards.


Tech stack (AWS or GCP — both accepted)

We are flexible on cloud provider. You should be strong in one

Compute (preferred):

  • Containers (

    Docker

    ) on managed compute (AWS ECS/Fargate / GCP Cloud Run)
  • Kubernetes knowledge is a bonus (EKS/GKE),

Data + messaging (one or more):

  • SQL (Postgres/MySQL)

    or

    NoSQL (Firestore/DynamoDB)
  • Pub/Sub or queues (GCP Pub/Sub / AWS SQS/SNS/EventBridge)
  • Caching (Redis / Memorystore / ElastiCache) when needed

Backend language (any one strong):

  • Node.js / Java / Python

Infrastructure and devops:

  • CI/CD (GitHub Actions/GitLab/Jenkins)
  • IaC (

    Terraform strongly preferred

    )


Must-have experience ( —Apply only if true)

You must have done the following in production:

  • 4+ years backend experience building

    real-time or event-driven

    systems in production.
  • Built a

    realtime update

    system (tracking/chat/live dashboards/streaming) with meaningful load
  • Operated a backend through

    spiky traffic windows

    (peak load > average load)
  • Built cost-sensitive systems (reduced infra or API costs using caching/batching/client-server split)
  • Owned

    CI/CD + monitoring + alerts + rollback for a production app


Nice-to-have

  • Google Maps APIs knowledge (Directions/Distance Matrix/Traffic) + cost controls
  • Experience with (fleet/logistics/mobility/delivery) systems.
  • Profound with Claude or any similar AI coding infrastructure.

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