Experienced Python Developer- Temporary Position

Which Department Will You Work for:
You will be part of the Infrastructure group, a team focused on building pipelines and services to manage large volumes of data. These pipelines provide critical data for Mobileye's developers to train and validate neural networks and algorithms. The team works closely with product managers, R&D, and algorithm teams to design scalable systems, ensuring smooth data integration and processing.
This is a temporary position for 8 month
What will your job look like
Design, develop, and maintain cloud-based data pipelines capable of processing large datasets.
Collaborate with algorithm teams to integrate and run their models within the pipelines.
Manage pipeline dependencies and address performance, scalability, and reliability challenges.
Continuously improve system architecture and adopt new technologies to solve technical issues.
All you need is:
Bachelor's degree in Computer Science or a related field.
5+ years of backend development experience, with a focus on Python.
Expertise in designing and developing infrastructure for high-performance and scalable data processing.
Experience with backend frameworks (e.g., FastAPI, Django, Flask) and containerized services (e.g., Docker, Kubernetes).
Hands-on experience with workflow orchestration tools like Argo and big data processing tools like Spark – an advantage.
Familiarity with cloud services (AWS ECS, EMR, Athena, S3, SQS) – an 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!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.