Backend Python Engineer in Winnipeg

Backend Python Engineer in Winnipeg

Winnipeg Full-Time 90000 - 110000 $ / year (est.) On-site
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At a Glance

  • Tasks: Design and optimize scalable systems using Python and AWS for AI-driven solutions.
  • Company: Global digital library service with a focus on innovation and technology.
  • Benefits: Competitive compensation, remote work options, and opportunities to work with AI technologies.
  • Other info: Dynamic environment with opportunities for professional growth in cutting-edge tech.
  • Why this job: Join a team that integrates machine learning to enrich content and make a real impact.
  • Qualifications: Extensive experience with AWS and a solid software engineering background.

The predicted salary is between 90000 - 110000 $ per year.

A global digital library service is seeking a Software Engineer II to design and optimize scalable systems within their ML Data Engineering team.

The role focuses on building event-driven solutions in Python, integrating machine learning models to enrich content.

Candidates should have extensive experience with AWS services and a solid background in software engineering.

This position offers competitive compensation and a chance to work on cutting-edge AI technologies. #J-18808-Ljbffr

Backend Python Engineer in Winnipeg employer: Scribd, Inc.

Scribd, Inc. is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those looking to make a significant impact in the digital marketing landscape. With a strong emphasis on employee growth, you will have access to cutting-edge tools and resources, as well as opportunities to collaborate with talented teams across multiple brands. Located in a vibrant tech hub, Scribd offers a unique environment where creativity thrives, making it an ideal place for passionate professionals to advance their careers.

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Contact Details:

Scribd, Inc. Recruitment Team

We think you need these skills to ace Backend Python Engineer in Winnipeg

Python
AWS Services
Software Engineering
Event-Driven Solutions
Machine Learning Integration
Scalable Systems Design
Data Engineering