Senior Software Engineer, Infrastructure
Owns infrastructure projects end-to-end, builds platform primitives, and improves observability for reliable, scalable cloud environments.
Remote • United States
- Full Time
- $156,000 – $231,000/year
- Min. 5 YOE
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Owns infrastructure projects end-to-end, builds platform primitives, and improves observability for reliable, scalable cloud environments.
Owns design and deployment of scalable APIs; leads architectural roadmap for flagship AI ordering product.
Senior Product Manager for Store Ordering leads forecasting, ordering policies, and cross-functional delivery to reduce food waste at scale.
Leads data engineering team to own customer data integrations and build core dataflows powering new Afresh products.
Strategic full-cycle recruiter focusing on technical talent, leveraging AI tools to accelerate hiring across software, data science, product, and GTM roles.
Strategic, enterprise sales across large grocers; manage complex cycles, build executive relationships, and deliver product value.
Senior ML Platform Engineer empowering scalable, reliable ML infrastructure for large-scale forecasting and real-time inference.
Lead and grow a data engineering team, own customer integrations across product lines, and drive data pipelines from ingestion to delivery with AI-forward tooling.
Senior role leading scalable APIs and architectural roadmap for flagship AI ordering product.
Build tools to streamline customer integrations, enabling faster onboarding and scalable ETLs with PySpark/DBT.
Own our next generation inventory management and store ordering solution that will be responsible for ordering 25%+ of fresh food volume in grocery in the US, eliminating 100s of millions of pounds of food waste (with the potential to grow that to billions).
Leads scalable ML platform infrastructure to enable real-time inference, multi-quarter strategy, and high-throughput distributed systems for production ML across Grocers.
Elevates core ML platform performance, reliability, and scalability to power production ML deployments.
Lead integration projects end-to-end, mapping customer needs to Afresh platform with cross-functional collaboration.
Owns revenue data and GTM systems, delivering KPI dashboards and AI-driven insights to optimize pipeline and forecast.
Develop and maintain core ML platform infra enabling scalable ML model deployment and experimentation.