Senior Backend Engineer - AI-Powered Data Platform

The Rundown AI, Inc.

San Francisco (CA)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

The Rundown AI, Inc. is looking for a Senior Software Engineer to join their Matching team in San Francisco, CA. In this role, you'll design and implement core backend services and data pipelines while leveraging your expertise in Python, data analysis, and machine learning.

You will work on scalable systems that power the AI engine behind People.ai’s products, collaborating with diverse technologies and solving interesting challenges. The ideal candidate is expected to have extensive experience in enterprise environments and a solid understanding of microservices.

Qualifications

  • 5+ years of professional experience working on backend systems in an enterprise environment.
  • 3+ years experience with data analysis / data science tasks and/or ML.
  • Understanding of SOA, microservices, and event-driven architecture.

Responsibilities

  • Design and implement core backend services and data pipelines.
  • Perform data-driven research using big data and leveraging Data Science toolset.
  • Collaborate within the team and with other engineering teams to build new features and products.

Skills

Python programming
Data analysis
Machine learning
Microservices
Big data processing
Docker
AWS

Education

Bachelor’s Degree in Computer Science or related discipline

Tools

Elasticsearch
Kubernetes
Spark

Job description

The Rundown AI, Inc. is looking for a Senior Software Engineer to join their Matching team in San Francisco, CA. In this role, you'll design and implement core backend services and data pipelines while leveraging your expertise in Python, data analysis, and machine learning.

You will work on scalable systems that power the AI engine behind People.ai’s products, collaborating with diverse technologies and solving interesting challenges. The ideal candidate is expected to have extensive experience in enterprise environments and a solid understanding of microservices.

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