Architect a cloud native solution to realize next generation mobility concepts in V2G.
Work with the development team to create full stack (UI + Services) functional prototypes.
Collaborate with key internal and external stakeholders to build scalable solutions.
Translate requirements from stakeholders into development tasks for the team.
Develop high-quality, modular prototype software to support wide variety of requirements.
Develop and manage end to end data pipeline from vehicles.
Track industry trends, evaluate new and alternative technologies; prepare proposals or reports related to present and future technology needs for new research projects.
Work on patent submissions, produce IP & maintain visibility of research and development activities in internal and external professional communities.
Requirements:
5+ years programming in Java, C/C++, Python
5+ Experience with cloud architecture and micro-services design patterns
Experience with AWS services (e.g., Lambda, Athena, Glu, Kinesis, Sagemaker)
Understanding of REST APIs and microservices
Strong experience with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB)
Experience with web/mobile technologies (e.g., JavaScript, NodeJS, React, HTML/CSS)
Experience with containerized platforms (docker, kubernetes, etc.)
Experience managing real time data pipelines.
Strong problem-solving and analytical skills
Excellent communication and interpersonal skills
Bonus Points:
Experience working on autonomous / connected vehicles, in simulation or in the real world (e.g., telematics data analytics)
DevOps and CI/CD tool chains (i.e., Jenkins, Spinnaker, GitHub)
Experience with machine learning, large-scale data pipeline and data analytics tools.
Experience with messaging protocols like MQTT, AMQP and DDS
Good understanding of the security principles including but not limited to the use of certificates, authentication, authorization, data encryption, secret management, etc.
Experience of using geo-spatial mapping libraries like MapBox, Google Maps, etc.
Experience of using Cloud Native tools (e.g., for AWS: Kinesis, Lambda, IoTCore, Fleetwise)