Fleet Telemetry Backend Engineer

Xentron; Fatih; On-site; TRY 200,000 - 320,000; Full time

Job summary

XENFLEET is seeking a backend engineer to design and operate high-throughput telemetry ingestion pipelines and data models that turn raw vehicle data into fleet intelligence.

You will build REST and WebSocket APIs for dashboards, implement geofencing and event detection, and own the signature verification pipeline.

The role handles PostgreSQL/TimescaleDB schemas, observability with OpenTelemetry and Grafana, and requires experience with NATS/MQTT/Kafka, Docker, and Kubernetes.

Qualifications

• 3+ years backend development experience in Go, Python, or Node.js.
• Experience with time-series data and IoT pipelines.
• Understanding of message brokers (NATS, MQTT, Kafka).
• PostgreSQL schema design, query optimisation, indexing.
• Experience with Docker and Kubernetes deployments.
• Bonus: elliptic curve cryptography or vehicle telematics.

Responsibilities

• Design and operate high-throughput telemetry ingestion (NATS / MQTT).
• Build REST and WebSocket APIs consumed by fleet management dashboards.
• Implement geofencing, event detection, and driver behaviour scoring.
• Own the signature verification pipeline for incoming device packets.
• Maintain PostgreSQL/TimescaleDB schemas for time-series vehicle data.
• Instrument services with observability tooling (OpenTelemetry, Grafana).

Tools

Go

Python

Node.js

PostgreSQL

TimescaleDB

Docker

Kubernetes

NATS

MQTT

Kafka

OpenTelemetry

Grafana

Job description

XENFLEET is seeking a backend engineer to design and operate high-throughput telemetry ingestion pipelines and data models that turn raw vehicle data into fleet intelligence.

You will build REST and WebSocket APIs for dashboards, implement geofencing and event detection, and own the signature verification pipeline.

The role handles PostgreSQL/TimescaleDB schemas, observability with OpenTelemetry and Grafana, and requires experience with NATS/MQTT/Kafka, Docker, and Kubernetes.