Senior Backend Engineer

San Francisco, CA, United States

Afresh Technologies


Role Location

  • San Francisco, CA, United States

Employees

11 - 25 people

Address

777 Florida St Apt 302
San Francisco, CA, 94110-2025, US

Tech Stack

  • Python
  • Docker
  • Kubernetes
  • AWS
  • Azure
  • Google Cloud
  • SQL
  • React
  • Android
  • Pandas
  • Scikit-Learn
  • Swift
  • JavaScript
  • GraphQL
  • Tensorflow
  • Redshift
  • S3
  • Apache Spark
  • iOS

Role Description

What will you be doing? - Building infrastructure that enables deploying machine learning models over hundreds of millions of historical data points. - Maintaining data pipelines powered by Apache Spark and other modern big data processing systems. - Developing a data backend comprised of transactional, analytic, and NoSQL databases. Maintaining a data lake that supports fast and reliable analytics over terabytes of data. - Designing backend infrastructure powering a mobile front-end that will be used daily by tens of thousands of store operators across the US. - Helping maintain tools for monitoring the performance of machine learning models at scale, as well as to ensure the constant integrity of data.

What skills and experience do you need? - Bachelors, Masters, or PhD in Computer Science or equivalent. - 4+ years of work experience. - Outstanding programming skills. Demonstrated ability to design large software systems. - Deep knowledge of databases and/or distributed systems. Experience with modern big data frameworks, especially in the context of building massive data lakes and data pipelines. Experience in scaling computation to thousands of machines, ideally in the context of machine learning. - Experience working with Microsoft Azure, Amazon Web Services, and other cloud providers. - Having a good understanding of machine learning and/or DevOps expertise is a plus.

About Afresh Technologies

Afresh is the first Fresh-first supply chain software company for grocery. Using cutting-edge technology (buzzwords like AI, ML, deep reinforcement learning, etc.), we build tools that help grocers and other supply chain constituents reduce food waste and maximize profit by forecasting demand and optimizing decisions.

Company Culture

Our four cultural values are: Honesty, Proactivity, Humility and Kindness.

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