Jobs · Engineering · Florida

Full Stack Software Engineer (+ Equity) at Lassie

Jack & Jill · San Mateo, FL · 1 wk ago
On-siteEngineeringFull-time

About the Company

Lassie is a venture-backed seed-stage startup in San Mateo building AI-powered software that enables businesses to extract, interpret, and act on data from documents and disparate systems.

About the Role

Join a small, high-impact team of five as a Full Stack Software Engineer at Lassie. You will own backend architecture in Python while shipping React-based frontend features. This high-autonomy role involves building AI-driven systems from the ground up, designing distributed architectures, and shaping the product's technical direction in a fast-moving environment.

Why This Role Is Remarkable

  • Work directly with the founding team as one of the first five employees, significantly influencing the technical roadmap and product evolution.
  • Tackle complex distributed systems challenges involving Python, Redis, and Celery to process large-scale data and documents using cutting-edge AI.
  • Enjoy high autonomy and ownership in a venture-backed seed-stage environment with a strong runway and a clear mission to automate business intelligence.

What You Will Do

  • Architect and build production-grade backend systems and APIs using Python, Flask, Redis, and Celery to handle distributed data pipelines.
  • Design and ship intuitive frontend features using React or modern TypeScript frameworks to provide users with seamless data interaction.
  • Manage infrastructure using Docker and Kubernetes while maintaining CI/CD pipelines to ensure rapid and reliable software delivery.

The Ideal Candidate

  • Expert-level Python developer with a proven track record of architecting scalable backend systems and distributed background job processing layers.
  • Full-stack generalist proficient in TypeScript/JavaScript fundamentals and modern frontend frameworks like React or Angular to build end-to-end products.
  • Proactive problem-solver with strong debugging instincts and experience moving fast in small, high-ownership startup teams with minimal process.

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