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Senior Engineering Manager

2 months ago

Ghaziabad, India Netradyne Full time

We @Netradyne harness the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. Netradyne is an industry leader in fleet safety solutions, immediately improving driver behavior and fleet performance, and setting commercial vehicle driving standards. Netradyne collects and analyses more data points and meaningful information than any other fleet safety organization so customers can improve retention, increase profitability, enhance safety, and enable end-to-end transparency.


Founded in 2015, Netradyne is a technology company that leverages expertise in Artificial Intelligence, Deep Learning, and Edge Computing to bring transformational solutions to the transportation industry. Netradyne’s technology is already deployed in thousands of vehicles; and our customers drive everything from passenger cars to semi-trailers on interstates, suburban roads, rural highways—even off-road. Netradyne is looking for talented engineers to join our Analytics team comprised of graduates from IITs, IISC, NITs, etc. We build cutting-edge AI solutions to enable drivers and fleets to realize unsafe driving scenarios in real time to prevent accidents from happening and reduce fatalities/injuries.


  • Opportunity to work on cutting-edge Generative AI services and software initiatives
  • Lead a team of high-potential individuals with solid backgrounds in software development.
  • Lead the development of cloud and web components to ingest, process, transform, and visualize data at scale.
  • Design and review scalable software architecture, ensuring it meets both current and future needs.
  • Develop and optimize back-end components to enhance system responsiveness and overall performance.
  • Take ownership of key product features and internal frameworks to enhance observability and system monitoring.
  • Implement engineering best practices, including unit testing, continuous delivery, and code quality checks using tools like SonarQube.
  • Oversee the deployment and monitoring of production-ready infrastructure, leveraging technologies such as ELK stack and Airflow.
  • Drive project delivery while ensuring effective communication with key stakeholders.
  • Own and manage software metrics and SLAs for multiple software services.


Requirements:

  • Exposure to AWS services like Kinesis, SQS, and ASG
  • Strong programming skills in Python.
  • Solid fundamentals in Computer Science, particularly in object-oriented programming (OOPs), algorithms, and data structures.
  • In-depth understanding of internals and schema design for various data stores (RDBMS and NoSQL).
  • Experience with data warehousing solutions like Snowflake and visualization tools such as Tableau.
  • Strong Linux fundamentals and familiarity with concepts like virtualenv and Docker.


Desired Skills:

  • Expertise in prompt engineering and generative AI is a significant advantage.
  • Proficiency in at least one popular Python web framework, such as Django or Flask.
  • Basic understanding of probability, machine learning, and deep learning concepts.