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 the team.
Responsibilities
- Design the full, scalable system blueprint (data model, APIs, real-time flow, authentication, and cost control) and define a clear staging and production rollout plan with reliability guardrails, so the team can implement it confidently.
- Build the collector GPS ingestion pipeline (validated + throttled) and stream updates only to authorised subscribers, ensuring reconnect/late-join/resume works smoothly under peak load.
- Deliver stable, accurate ETA without excessive Maps calls by using caching/route snapshots/periodic recalibration (and client-assist where useful), with graceful fallback behaviour during traffic/maps failures.
- Implement 10-minute and 5-minute arrival alerts with anti-spam debouncing, delivered through in-app events and push notifications (FCM/APNS) reliably at scale.
- 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.
- Own shipping quality: CI/CD, environment config, monitoring/alerts/dashboards, reliability patterns (idempotency/retries/rollback), and load testing + performance tuning for peak windows.
- Provide strong backend contracts, review and guide implementations, and keep delivery fast but maintainable by enforcing clean patterns and production-grade standards.
Requirements
- Containers (Docker on managed compute (AWS ECS/Fargate / GCP Cloud Run).
- Kubernetes knowledge is a bonus (EKS/GKE), not mandatory on day 1
- 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).
You Must Have Done The Following In Production
- 4+ years of backend experience building real-time or event-driven systems in production.
- Built a real-time updatesystem (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.
This job was posted by Ujjwal Gupta from Peklenc Research.
