Integration Engineer - Hardware

Integration Engineer - IoT

Key Responsibilities:

1. Integration Architecture Design:

• Develop and implement

  IoT integration solutions

  across software, hardware, and cloud platforms.
• Design scalable architectures to integrate

  internal

  and

  third-party IoT solutions

  into existing ecosystems.
• Ensure secure and seamless data exchange between IoT devices, edge computing nodes, cloud services, and enterprise applications.

2. API Protocol Management:

• Develop and manage

  APIs

  for seamless data exchange between IoT devices and backend platforms.
• Work with standard IoT protocols such as

  MQTT, CoAP, HTTP, WebSockets, OPC UA, and Modbus

  for efficient device communication.
• Ensure compatibility with

  industry protocols

  and

  partner integrations

  .

3. IoT Cloud Telematics Integration:

• Implement integrations with

  AWS IoT, Azure IoT Hub, Google Cloud IoT, or private cloud platforms

  .
• Manage real-time telematics data from connected devices and optimize data pipelines.
• Leverage edge computing and

  AI/ML analytics

  for smart decision-making.

4. Cross-Functional Collaboration:

• Work closely with

  hardware engineers, software developers, cloud architects, and business stakeholders

  to ensure end-to-end integration.
• Partner with

  third-party vendors

  to onboard and integrate new IoT solutions into the ecosystem.
• Develop and document

  technical standards, best practices, and integration workflows

  .

5. Testing Deployment:

• Conduct

  integration testing, performance benchmarking, and troubleshooting

  across multiple environments.
• Optimize data flow efficiency, latency, and security in IoT communications.
• Assist in deployment strategies and maintenance of integrated IoT systems.

Required Skills Qualifications:

• Bachelor s or Master s degree in

  Electronics, Computer Science, Electrical Engineering, or a related field

  .

• 3-8 years of experience

  in IoT integration, software-hardware interfacing, cloud connectivity, or embedded systems.
• Strong expertise in

  IoT communication protocols

  (MQTT, CoAP, WebSockets, etc.).
• Experience with

  API development (REST, GraphQL, gRPC)

  and middleware platforms.
• Hands-on experience with

  IoT cloud services

  (AWS IoT, Azure IoT, Google IoT, etc.).
• Proficiency in

  programming languages

  such as Python, C, C++, or Java for IoT solutions.
• Familiarity with

  networking concepts (TCP/IP, VPN, firewalls, cybersecurity in IoT)

  .
• Knowledge of

  edge computing, AI/ML integration, and data analytics

  in IoT systems is a plus.
• Strong problem-solving and analytical skills with a proactive mindset.

Preferred Certifications (Optional):

• AWS Certified IoT Specialty / Microsoft Azure IoT Certification
• Certified Kubernetes Administrator (CKA) or other cloud certifications
• Industry-specific IoT security or networking certifications

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