Senior Site Reliability/DevOps Engineer

San Francisco, CA
At Afresh, we’re solving the big problems around food waste and the fresh food supply chain--focusing first in grocery. We use cutting-edge AI (we’ve been published in ICML!) combined with thoughtful design to enhance decision-making and optimize store workflows. The results are powerful: in live deployments in grocery stores, we have demonstrated the potential to double profits and reduce food waste by 50%+!

What you’ll be doing:

    • Provisioning and maintaining cloud infrastructure that will support training machine learning models over billions of historical data points collected from tens of thousands of retail stores across the US.
    • Monitoring and measuring system performance and iteratively push for improvements in this area by introducing new technologies or developing new tools.
    • Ensuring that our system meets the highest security standards. Collaborating with a team of security specialists to enforce secure practices across the company.
    • Maintaining a high standard of engineering excellence by implementing best practices for software development, testing, and deployment.
    • Providing input into long-range platform requirements.

What skills and experience you’ll need:

    • Bachelors or Masters in Computer Science or equivalent.2+ years of work experience.
    • Strong programming and problem-solving skills.
    • Deep expertise in infrastructure design, provisioning, and management using modern virtualization and orchestration platforms with a particular emphasis on Kubernetes.
    • Extensive experience with Microsoft Azure, Amazon Web Services, and other cloud providers.
    • Intimate familiarity with the DevOps toolkit (Terraform, Ansible, Chef, and other tools).
    • Demonstrated understanding of security best practices.

About 30-40% of food produced worldwide is thrown away, causing nearly a trillion dollars of economic losses, trillions of gallons of wasted water, and billions of tons of greenhouse gas emissions. In the US, about 40% of all food waste occurs at the retail level and downstream, largely driven by insufficient technology and manual processes.

Afresh seeks to tackle some of these big problems around food waste. Born out of Stanford's Computer Science PhD program, Afresh is the first Fresh food supply chain company. We bring the cutting edge of artificial intelligence to Fresh food to minimize food waste.

Our machine learning-powered supply chain solutions are tailored for the nuances of perishables. Our first product is a store-level replenishment tool that optimizes the ordering of items in Fresh categories -- produce, meat, deli, dairy, bakery, and prepared foods. The goal is to minimize waste and maximize in-stock rate, and consequently, profit.

So far, the results are awesome! Like we said above, in live deployments, we have demonstrated the potential to double profits and reduce food waste by 50%+.

We're growing fast: we're in partnership with 4 large regional grocers representing 500+ stores and >$10B in revenue. Our backers include Innovation Endeavors (former Google CEO Eric Schmidt’s firm) and Baseline Ventures (first money in Stitchfix, SoFi, Heroku, Instagram).