About Netradyne: Netradyne is a cutting-edge technology company revolutionizing the transportation industry with its advanced AI-powered solutions. We specialize in developing innovative products and services that enhance fleet safety, efficiency, and performance. With a focus on data-driven insights and real-time analytics, Netradyne is at the forefront of shaping the future of transportation.
Job Overview: As a Software Engineer at Netradyne, you will lead the task of monitoring field data, identifying issues, and conducting a Root Cause Analysis (RCA). Your role also involves collaborating with cross-functional teams to provide resolutions to issues identified in field devices. You will be responsible for reporting bugs with the ultimate goal of improving system stability. Additionally, you will work on automating the analysis process to enhance efficiency.
Key Responsibilities:
Monitoring Field Data:This process involves monitoring the key metrics and health parameters of the devices, and identifying potential field issues.
Analyzing Field Issues: Identify, diagnose, and analyze issues occurring in the field. These could involve software malfunctions, hardware failures, network issues, or other operational problems.
Automating Analysis Processes: Create and maintain automated processes for issue analysis. This involves writing scripts or using existing automation tools to reduce manual work and increase efficiency.
Conducting Root Cause Analysis (RCA): Conduct an RCA when an issue is detected.
Recommending Solutions: Based on the findings of the RCA, recommend effective solutions to resolve the issue. This might involve fixing a bug, adjusting device configuration, replacing hardware, or implementing new procedures.
Reporting Bugs: Document bugs, errors, and issues clearly and concisely. Keep track of all reported issues and ensure they are resolved in the latest release.
Improving System Stability: Implement measures to improve system stability and prevent the recurrence of issues.
Documenting and Communicating: Create comprehensive and clear documentation for field issues.
Collaborating with Cross-Functional Teams: Collaborate with software engineers, hardware engineers, and other technical teams, as well as operations teams, to understand the specifics of the devices and to fix issues efficiently.
Mandatory Skills:
Bachelor s degree in computer science or related field .
Proficiency in programing languages like python
Strong problem-solving skills and ability to work independently.
Preferred Skills:
Experience with various technologies such as AWS, SQL, MongoDB, Shell Scripting, and Cassandra DB
Familiarity with Agile development methodologies.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full time