We are seeking a Senior IoT Platform Architect / Backend Engineer to design and scale a real-time IoT telemetry and control platform for millions of connected solar inverters and edge devices. The ideal candidate will architect and optimize a high-throughput, secure, and resilient data pipeline — from MQTT ingestion to time-series storage and analytics.

You’ll lead design and implementation of the end-to-end architecture, including:
- MQTT Broker (EMQX/VerneMQ) clusters for device connectivity and secure telemetry ingestion.
- Kafka-based streaming pipeline for durable, partitioned message processing at 100k–200k msg/sec scale.
- Python (FastAPI/Django) consumers for validation, enrichment, and storage into TimescaleDB (Postgres) with Redis for low-latency caching.
- Django REST Framework APIs and WebSocket gateways for real-time dashboards and control command flows.
- Kubernetes-based deployment with auto scaling, Helm, and observability stack (Prometheus, Grafana, ELK/Opensearch).
- Security-first design using mTLS, OAuth2/OIDC (Keycloak), and Cloud KMS/HSM for secrets.





You’ll be responsible for capacity planning, data modeling, performance optimization, and ensuring high availability for millions of devices at sub-second latency. Experience with large-scale messaging systems, distributed databases, and time-series optimization is essential.

Requirements
You’ll lead design and implementation of the end-to-end architecture, including:
- MQTT Broker (EMQX/VerneMQ) clusters for device connectivity and secure telemetry ingestion.
- Kafka-based streaming pipeline for durable, partitioned message processing at 100k–200k msg/sec scale.
- Python (FastAPI/Django) consumers for validation, enrichment, and storage into TimescaleDB (Postgres) with Redis for low-latency caching.
- Django REST Framework APIs and WebSocket gateways for real-time dashboards and control command flows.
- Kubernetes-based deployment with auto scaling, Helm, and observability stack (Prometheus, Gr

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