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Software Engineer; Fullstack

Job in St. George, Saint George, Washington County, Utah, 84770, USA
Listing for: Sumble Inc
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Software Engineer (Fullstack)
Location: St. George

Sumble is building a knowledge graph from web data with a first focus on data for go-to-market teams. We use sources like job posts and resume data to identify things like org structure, tech stack, and key projects (e.g., GenAI initiatives, cloud migrations). Our product already has strong product-market fit, early revenue, and happy customers — and now we’re ready to accelerate.

Our long-term vision is to become the primary destination for accessing high-quality web data. Try the product at

Our Team

We are a team of 15, including 10 engineers with experience at companies such as Google, Meta, Stack Overflow, and Kaggle.

What we are looking for:
  • Someone who has strong expertise in one or more of the following areas, with the ability/interest to:
  • Experience developing software applications using a general-purpose programming language such as C#, Python, Java, or JavaScript.
  • Efficiently querying large volumes of data and doing large aggregations
  • Developing, maintaining, and optimizing software to efficiently serve a web application and query a database
  • Developing, maintaining and troubleshooting integrations with external applications
  • Ensuring the security and durability of software with appropriate and actionable alerting, monitoring, and logging systems
Our Tech Stack:
  • Languages & Frameworks:
    Python, FastAPI, React, Typescript
  • Cloud Platform:
    Google Cloud Platform (GCP)
  • Databases:
    Postgre

    SQL, AlloyDB
  • ML/Data:
    PyTorch, Huggingface, vLLM, Skypilot, Marimo, Prefect
  • Infrastructure:
    Cloud Run
  • Design:
    Figma, Vercel V0
Challenges We Tackle:
  • Transforming noisy datasets into high-quality data products
  • Running expensive analytics computations efficiently
  • Managing the complexity of a growing number of data sources, machine learning models, and large data operations
  • Creating a user experience that allows both powerful high-level aggregations AND allows users to also see the granular underlying source data
Location
  • Located within Americas timezones
Benefits
  • Medical, dental, and vision (US)
  • 401k (US)
  • Target 4 weeks PTO
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