Overview
Embitel Technologies is hiring a Python Developer for connected vehicle and data collection solutions, covering software development, cloud integration, OTA deployments and operational support across vehicle and cloud ecosystems.
What you'll do
- Develop software solutions and automation tools using Python for connected vehicle and data collection platforms.
- Design and implement scalable deployment concepts, procedures, and operational guidelines for cloud and vehicle ecosystems.
- Establish and improve deployment and release processes for vehicle and cloud-based solutions.
- Support rollout, configuration, commissioning, and operationalization of new capabilities.
- Develop and maintain cloud-based integrations using Microsoft Azure Cloud, APIs, SDKs, and cloud services for vehicle-to-cloud data integration.
- Manage and support OTA (Over-the-Air) deployments, software updates, rollout coordination, and device lifecycle management.
- Lead troubleshooting, root cause analysis, incident management, and issue resolution during deployment and operational activities.
- Own implementation and deployment-related technical decisions for connected vehicle and cloud-based solutions.
- Ensure deployment readiness, software quality, and compliance with established processes.
- Support release approvals, rollout coordination, and deployment sign-off.
What you'll need
- Strong Python development and automation expertise.
- Hands-on experience with Microsoft Azure Cloud services and cloud-based integrations.
- Hands-on experience with OTA (Over-the-Air) updates, deployment, and rollout management.
- Experience with cloud APIs, SDKs, and vehicle-to-cloud data integration.
- Linux development and troubleshooting skills.
- Good understanding of deployment processes, software quality, and operational support.
- Basic knowledge of network topology and IT security fundamentals.
- 3 - 5 years of experience.
Nice to have
- C++ development for embedded software.
- Automotive Operating System (AOS) knowledge.
- Mender for OTA deployment and device lifecycle management.
- Databricks, including programmatic integration using APIs, SDKs, and Python.
- CI/CD pipelines and automated testing.
- ADAS or vehicle data collection platforms.
- Software Defined Vehicle (SDV) and IoT ecosystems.
- Docker and Kubernetes.
- CAN, Ethernet, and automotive communication protocols.
- Telemetry, fleet monitoring, and cloud-based data engineering workflows.
- Cybersecurity and secure OTA mechanisms.
- Jira, Confluence, and Agile/Scrum methodologies.
Details
- Location: Bangalore.
- Work mode: Hybrid.
- Employment type: Full-Time.
Read the full description and apply on the company’s own careers page.