Full Stack Engineer

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.