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Engineering Manager - IOT Systems

TalentGen Advisory LLP
Multiple Locations
10 - 12 Years

Posted on: 16/07/2025

Job Description

About the client :

Building large-scale, climate-proof farms across the country


Responsibilities :


- Collaborate with product management and other engineering teams to define and execute the product roadmap.


- Set clear objectives, prioritize tasks, and manage resources to ensure the timely delivery.

- Drive the adoption of best engineering practices, including agile methodologies, continuous integration, and automated testing.

- Provide technical guidance and direction to lead and senior engineers, ensuring alignment with the technology standards and goals.

- Oversee the design, development, and deployment of IoT systems, ensuring scalability, reliability, and security.

- Be ready and able to roll up your sleeves and dive into solving technical problems hands-on when needed, demonstrating a deep understanding of the technology stack and a commitment to team success.

- Continuously evaluate and improve software performance.

- Monitor and maintain firmware applications to ensure high availability and scalability.

- Proactively identify and propose solutions to problems.

- Work closely with cross-functional teams, including product management, operations, and hardware engineering.

- Ensure effective communication and collaboration across teams, removing obstacles and facilitating problem-solving.


Requirements :

- Experience in product engineering or R&D, and technical leadership or people management.

- 10 + years of professional experience in software engineering (coding, software development).

- Strong programming experience in Python or another object-oriented language.

- Proficiency in Linux and Bash scripting.

- Deep understanding of the client-server model and secure backend architecture.

- Familiarity with CI/CD pipelines and Git-based workflows.

- Experience with Docker and cloud-native deployment strategies.

- Understanding of key security concepts and best practices for backend services.

- Experience with industrial protocols and messaging brokers (e.g., MQTT).

- Ability to process and interpret large-scale log data.

- Strong foundation in SQL, algorithms, and system design.

- Experience with AIoT technologies (Machine Learning, Deep Learning, Computer Vision) and large-scale IoT device management.


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