Mobileye

Senior Backend Developer

Israel Remote Hybrid
Kafka Streaming AWS Python Django FastAPI Spark PostgreSQL
Description
Mobileye is looking for a Software Engineer to join a team that is building a state-of-the-art Data Platform.
The autonomous vehicle project generates huge amount of data, and our challenge is to make it accessible and usable across the entire organization, including DL/ML developers, validation teams, product managers, analysts and others.
We are using cutting-edge tech stack to solve problems, which includes multiple databases, big data frameworks, data streaming technologies, AWS infrastructure, and more.

What will your job look like:

  • Participate in the development of a large-scale system from its inception
  • Take part in the design & development of a cloud-based, multi-service big data platform
  • Evaluate potential technologies and take part in decision-making.
  • Work side-by-side with your peers to overcome complex challenges.
  • Continuously improve and learn new technological skills.
  • Tech stack: Python, Django, FastAPI, Spark, Postgres, AWS.

Desired background, skills and qualifications:

  • BSc. in Computer Science or equivalent degree
  • 5+ years of software development experience
  • Experience in developing backend services and shipping large-scale application with a user-empathetic mindset
  • Experience with databases (relational and schema-less) and efficient data modeling
  • Experience with containerized services

  • Strong skills in Python, Django, FastAPI - big advantage
  • Experience with AWS (ECS, EMR, Athena, S3, SQS) - advantage
  • Working with Spark, Presto, Drill, and ETL flows - advantage
  • Working with Kafka or similar streaming/messaging platforms - advantage
Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!
Mobileye
Mobileye
Artificial Intelligence Automotive Autonomous Vehicles Fleet Management Transportation

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