Full Stack Engineer

Fluency; San Francisco (CA); On-site; Full time

Job summary

A leading tech company in San Francisco seeks a full-stack engineer to innovate in the field of autonomous enterprises. You will engage in developing novel data structures and building data pipelines that process vast amounts of workflow data in real-time. This position requires operating at the cutting edge of data science to tackle unprecedented technical challenges. Ideal candidates should have strong experience in full-stack development, especially focused on data applications. Competitive compensation and growth opportunities are provided.

Qualifications

• Strong experience in full-stack development with a focus on data centric applications.
• Proficiency in designing data structures and building data pipelines.
• Experience with real-time processing and handling complex data environments.

Responsibilities

• Design novel data structures for representing work.
• Build pipelines that process billions of events per day.
• Work on real-time processing challenges at massive scale.

Skills

Real-time data processing

Data structure design

Building data pipelines

Data analysis

Job description

Overview

Fluency is enabling the autonomous Enterprise. (in person).

You're needed to help pioneer a new software category that will change how enterprises work. Welcome to the data layer of the future.

Fluency is looking for a next-level full-stack engineer to build the autonomous enterprise.

You'll be working on problems that have no established solutions. We're processing terabytes of workflow data per enterprise customer in real-time - systems that map, relationship, contextualize, and analyze work patterns across entire orgs. Think human genome project, but for enterprise workflows.

You'll invent new data primitives and paradigms. This means designing novel data structures for representing work, building pipelines that process billions of events per day, and writing whitepapers on approaches that don\'t exist yet.

You're operating at the bleeding edge of data science where the playbook hasn\'t been written.

We\'re backed by T1 VCs like Accel + more, and are hitting an inflection point with Enterprises all around the globe.

You\'ll work directly with founders and our engineering team. The technical challenges are unprecedented: real-time processing at massive scale, creating a universal taxonomy for work across every industry, and building systems that can handle the most complex enterprise data environments on earth.