Weekday AI (YC W21) logo

Engineering Manager- Aftermarket

7 years

30 - 50 Lacs

delhi india

Posted:13 hours ago| Platform: Linkedin logo

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Skills Required

engineering development video telematics analytics ai ml vision data drive architecture leadership design processing storage monitoring pipeline management scalability inference integration tuning optimization scoring reliability support compliance security electrical software microservices aws gcp azure docker kubernetes api model deployment sql nosql redshift recording mqtt

Work Mode

On-site

Job Type

Full Time

Job Description

This role is for one of the Weekday's clients

Salary range: Rs 3000000 - Rs 5000000 (ie INR 30-50 LPA)

Min Experience: 7 yearsLocation: GurgaonJobType: full-timeWe are looking for an experienced Engineering Manager to lead the development of an end-to-end Video Telematics and Cloud Analytics platform for aftermarket solutions. This role requires a hands-on technical leader with expertise across embedded systems, AI/ML, computer vision, cloud infrastructure, and large-scale data analytics. You will drive execution across multidisciplinary teams, owning everything from edge-based video intelligence to cloud-powered insights and dashboards.

Requirements

Key Responsibilities

Platform & Architecture Leadership

  • Lead the design and delivery of the complete video telematics ecosystem, spanning edge AI, video processing, cloud services, analytics, and alerting systems.
  • Architect and oversee scalable, secure cloud infrastructure for video ingestion, streaming, storage, OTA updates, analytics, and monitoring.
  • Define and evolve data pipeline architectures for collecting, processing, storing, and visualizing video, sensor, and telematics data.

Cross-Functional Engineering Management

  • Lead and coordinate multiple engineering teams, including:
    • Backend & Cloud teams responsible for APIs, infrastructure, dashboards, and system scalability.
    • AI/ML and Computer Vision teams deploying DMS/ADAS models and real-time inference pipelines.
    • Embedded & Hardware teams handling firmware integration, camera tuning, and SoC optimization.
  • Partner closely with product and business stakeholders to define roadmaps, priorities, and delivery timelines.

Data & Analytics

  • Collaborate with data science teams to transform video and sensor data into actionable insights.
  • Drive real-time analytics, fleet safety scoring, alerts, and predictive intelligence using telematics data.

Operational Excellence

  • Own overall product quality, reliability, and performance across edge and cloud components.
  • Support production rollouts, system monitoring, incident management, and continuous updates.
  • Build, mentor, and scale high-performing engineering teams.
  • Ensure compliance with security, privacy, and regulatory standards (e.g., GDPR, AIS-140, GSR).

Required Qualifications

Must-Have

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
  • 7+ years of experience in software or product engineering, with at least 2+ years in an engineering leadership or management role.
  • Strong understanding of cloud-native architectures, video pipelines, edge computing, and microservices.
  • Hands-on experience with cloud platforms (AWS, GCP, or Azure), Docker, Kubernetes, serverless computing, and RESTful API design.
  • Solid understanding of AI/ML and computer vision workflows, including model lifecycle, optimization, and deployment.
  • Experience working with data pipelines, SQL/NoSQL databases, and analytics/monitoring tools such as Redshift, Snowflake, Grafana, or Superset.

Good-to-Have

  • Experience building automotive, fleet, or aftermarket video telematics solutions.
  • Knowledge of camera hardware, ISP tuning, video codecs (H.264/H.265), and event-based video recording.
  • Familiarity with telematics protocols (CAN, MQTT) and geospatial analytics.
  • Working knowledge of global data privacy and compliance standards (GDPR, CCPA).

Core Skills

Engineering Management
  • Aftermarket Systems
  • Cloud Architecture Video Telematics
  • Fleet Management Systems
  • ADAS Java
  • RESTful APIs
  • Analytics
  • Embedded & Edge Computing

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