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Job Overview
Location
Remote
Job Type
Full-time
Category
Software Engineering
Date Posted
October 29, 2025
Full Job Description
đź“‹ Description
- • Own the architecture, development, and scaling of the core backend services that power Afresh’s Fresh Operating System, the AI platform trusted by regional and national grocery chains to manage $1.6 billion in produce orders and prevent 34 million pounds of food waste.
- • Design and implement high-throughput, low-latency microservices in Python and Go that ingest and process millions of real-time inventory, sales, and weather data points daily, ensuring our forecasting models always have the freshest inputs.
- • Lead cross-functional initiatives with Data Science, Product, and Design to translate complex forecasting and optimization algorithms into production-grade APIs that grocery store managers rely on to make daily ordering decisions.
- • Build resilient data pipelines that integrate with legacy ERP, POS, and supply-chain systems, abstracting away decades-old quirks so our partners can adopt Afresh without costly infrastructure overhauls.
- • Champion observability and reliability: instrument services with distributed tracing, metrics, and alerting; define and monitor SLOs that keep critical ordering workflows running 24/7 across thousands of stores.
- • Architect cloud-native solutions on AWS (EKS, Lambda, RDS, S3, Kinesis) with infrastructure-as-code (Terraform) to ensure every line of code you ship is reproducible, secure, and cost-efficient at grocery-scale.
- • Optimize database performance across PostgreSQL, DynamoDB, and Redis, balancing consistency, availability, and partition tolerance for workloads that range from real-time price look-ups to nightly batch forecasting jobs.
- • Mentor junior engineers through code reviews, pair programming, and architecture guilds, fostering a culture where knowledge sharing accelerates innovation and reduces single points of failure.
- • Collaborate with security and compliance teams to implement SOC 2 controls, encrypt PII, and maintain audit trails that satisfy both enterprise retailers and regulatory bodies.
- • Contribute to our open-source initiatives and internal tooling, turning operational pain points into reusable libraries that multiply the productivity of every engineer at Afresh.
- • Influence product strategy by translating customer feedback into technical roadmaps, ensuring our backend evolves ahead of grocery industry trends and sustainability goals.
- • Participate in an on-call rotation that respects work-life balance—our follow-the-sun remote culture means pages are rare and root-cause fixes are prioritized over band-aids.
🎯 Requirements
- • 5+ years of backend engineering experience shipping production services in Python, Go, or similar languages.
- • Proven track record designing and operating distributed systems at scale on AWS or another major cloud provider.
- • Deep expertise with relational databases (PostgreSQL) and at least one NoSQL store (DynamoDB, Redis, Cassandra).
- • Strong understanding of event-driven architectures, message queues (Kafka, SQS, Kinesis), and asynchronous processing patterns.
- • Nice-to-have: experience integrating with grocery or retail ERP/POS systems, or domain knowledge in supply-chain or perishables logistics.
🏖️ Benefits
- • Fully remote-first culture with quarterly in-person retreats, generous home-office stipend, and flexible working hours.
- • Competitive salary plus meaningful equity in a high-growth Series B startup on a mission to eliminate food waste.
- • Comprehensive health, dental, and vision coverage for you and dependents, plus a monthly wellness stipend.
- • 20 days PTO, 11 federal holidays, and a company-wide end-of-year recharge week—because sustainable impact starts with sustainable people.
Skills & Technologies
About Afresh Technologies, Inc.
Afresh Technologies, Inc. develops AI-driven software to reduce food waste and optimize fresh-food inventory for grocery retailers. The platform combines demand forecasting, inventory management, and ordering tools to help stores maintain stock levels, cut shrink, and increase sales in produce, meat, deli, and bakery departments. Designed for in-store teams, the system uses machine-learning models tailored to perishables’ short shelf lives and variable demand. Founded in 2017 and headquartered in San Francisco, Afresh serves regional and national U.S. supermarket chains, aiming to improve food sustainability and profitability across the fresh supply chain.
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