Engineering Manager- Aftermarket

3 weeks ago

Gurgaon, Haryana, India A top industrial automation company which is part of a top engineering group Full time

Key Responsibilities:

Platform Leadership

  • Own and drive the development of the complete video telematics ecosystem, covering edge AI, video processing, cloud platform, and data insights.
  • Architect and oversee scalable and secure cloud infrastructure for video streaming, data storage, OTA updates, analytics, and alerting systems.
  • Define the data pipeline architecture for collecting, storing, analyzing, and visualizing video, sensor, and telematics data.

Cross-functional Engineering Management

  • Lead and coordinate cross-functional teams:
  • Cloud/backend team for infrastructure, APIs, analytics dashboards, and system scalability.
  • AI/ML and CV teams for DMS/ADAS model deployment and real-time inference.
  • Hardware/Embedded teams for firmware integration, camera tuning, and SoC optimization.
  • Collaborate with product and business stakeholders to define the roadmap, features, and timelines.

Data Analytics

  • Work closely with data scientists to build meaningful insights and reports from video and sensor data.
  • Drive implementation of real-time analytics, fleet safety scoring, and predictive insights using telematics data.

Operational Responsibilities

  • Own product quality and system reliability across all components.
  • Support product rollout, monitoring, and updates in production.
  • Manage resources, mentor engineers, and build a high-performing development team.
  • Ensure adherence to industry standards for security, privacy (GDPR), and compliance (e.g., GSR, AIS-140).

Pre-Requisites:

  • 7+ years of experience in software/product engineering, with 2+ years in a technical leadership or management role.
  • Deep understanding of cloud architecture, video pipelines, edge computing, and microservices.
  • Proficient in AWS/GCP/Azure, Docker/Kubernetes, serverless computing, and RESTful API design.
  • Solid grasp of AI/ML integration and computer vision workflows (model lifecycle, optimization, deployment).
  • Experience in data pipelines, SQL/NoSQL databases, and analytics tools (e.g., Redshift, Snowflake, Grafana, Superset).
  • Prior work on automotive, fleet, or video telematics solutions.
  • Experience with camera hardware (MIPI, ISP tuning), compression codecs (H.264/H.265), and event-based recording.
  • Familiarity with telematics protocols (CAN, MQTT) and geospatial analytics.
  • Working knowledge of data privacy regulations (GDPR, CCPA)

Please share your resumes with bhawna@marketscope.in

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