Posted:8 hours ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

About the Role

Senior Backend Engineer

This role requires strong ownership, hands-on technical depth, and the ability to design systems that operate reliably at massive scale.

Key Responsibilities

1. IoT Platform Architecture

  • Design and implement large-scale IoT data pipelines using

    Kafka + MQTT

    .
  • Architect low-latency systems (<200ms GUI load time) for millions of connected devices.
  • Build microservices following distributed systems best practices.

2. Kafka Engineering

  • Design scalable Kafka clusters with optimized

    topic partitioning

    , replication, retention, and fault tolerance.
  • Build producer/consumer pipelines with high throughput and low-latency constraints.
  • Manage Kafka cluster operations, monitoring, and performance tuning.

3. MQTT & IoT Messaging

  • Architect MQTT-based ingestion pipelines that can handle

    millions of connections and connection storms

    .
  • Design retained messages, QoS logic, and large-scale subscription models.

4. Kubernetes (K8s) Engineering

  • Deploy and manage production-grade clusters on

    bare metal or cloud

    .
  • Implement StatefulSets, persistent volumes, auto-scaling, network policies, and service mesh configurations.
  • Ensure reliable CI/CD, observability, and high availability.

5. Database & Storage Optimization

  • Optimize schemas, indexing, sharding, partitioning, and query performance for billions of telemetry records.
  • Design real-time data retrieval systems (materialized views, caching layers).

6. Stream Processing

  • Build and manage streaming applications using

    Kafka Streams

    ,

    ksqlDB

    , or

    Apache Flink

    .
  • Create real-time aggregations, metrics pipelines, and device state computation.

7. DevOps & Observability

  • Implement monitoring, alerting, and logging using Prometheus, Grafana, Loki, ELK, etc.
  • Ensure end-to-end system reliability and performance SLAs.

8. Open-Source

  • Work with open-source tools; contribute improvements or fixes when needed.

Required Skills

Must-Have Technical Expertise

  • Apache Kafka – deep knowledge of topic partitioning, consumer groups, throughput optimization, cluster internals.
  • MQTT protocol – QoS levels, retained messages, large-scale subscriptions, connection storm mitigation.
  • Kubernetes (production-level) – StatefulSets, storage, auto-scaling, service mesh, networking.
  • Database performance optimization – query tuning, indexing, sharding, partitioning.
  • Stream processing – Kafka Streams, ksqlDB, Flink, or similar.
  • Strong understanding of microservices design & distributed systems.

Nice-to-Have

  • Experience with IoT platforms (energy sector, solar inverters, industry 4.0, etc.).
  • Experience with Redis, TimescaleDB, ScyllaDB, or ClickHouse.
  • Contributions to open-source projects.
  • Experience with Golang, Python, or Java.


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