Senior Backend Developer

Senior Backend Engineer (Realtime + Scale + Production Ownership)Realtime Systems (Tracking + ETA)

Company Description

Joining bonus:Harley-Davidson X440 / Royal Enfield

About the role

Own the end to end backend and production for a real-time ETA (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 the backend so real-time updates +

ETA remain reliable, low-latency, secure, and cost-controlled at large scale, and mentor team.

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 10-min and 5-min 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

Own shipping quality: CI/CD, environment config, monitoring/alerts/dashboards, reliability patterns (idempotency/retries/rollback), and load testing + performance tuning for peak windows.

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 and comfortable mapping

concepts to the other.

Compute (preferred):

● Containers (Docker) on managed compute (AWS ECS/Fargate / GCP Cloud Run)

● Kubernetes knowledge is a bonus (EKS/GKE), not mandatory on day 1

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 / Go / 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

● Worked on geolocation/ETA/route-like problems (nice-to-have but strong plus)

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.

Job Types: Full-time, Permanent

Pay: ₹334,924.19 - ₹1,497,088.25 per year

Work Location: In person