Fathom logo

Senior Software Engineer (Infrastructure)

Fathom

Job Overview

Fathom is on a mission to use AI to understand and structure the world’s medical data, starting by making sense of the terabytes of clinician notes contained within the electronic health records of the world’s largest health systems. Our deep learning engine automates the translation of patient records into the billing codes used for healthcare provider reimbursement, a process today that costs hospitals in the US $15B+ annually and tens of billions more in errors and denied claims. We are a venture-backed company that completed a Series B round of financing for $46M in late 2022.

Responsibilities

  • Ensure the stability, security, and performance of Fathom’s platform.
  • Develop dependable internal tools that aid our machine learning and software engineers more efficient, in everything from infrastructure deployment, to continuous integration and testing.
  • Maintain and configure internal development and access control systems.
  • Collaborate with our product and engineering teams to identify strategic long-term projects and preempt infrastructure needs in advance.

Qualifications

  • 2+ years of software engineering experience in a company/production setting.
  • Relevant experience developing backend, integrations, data pipelining, infrastructure, etc. projects in a production setting.
  • Problem solving skills and first principles thinking.
  • Strong computer science principles including: algorithms, databases (SQL and NoSQL), logic, etc.
  • Hands-on backend coding and systems design using best practices in a company setting.
  • Experience with building, controlling, and monitoring secure cloud-based platforms.
  • Ability to help pick and implement the right tool for a given job and to define, defend, and drive technical infrastructure decisions and initiatives.
  • Effective communication and exceptional collaboration skills.

Bonus Points

  • Fluency in Python.
  • Knowledge of Google Cloud.
  • Experience with tools like Docker, Kubernetes and/or Spark.
  • Familiarity with continuous integration systems like CircleCI or Jenkins and/or continuous delivery systems such as Spinnaker.
  • Skills in MLOps.
  • Interest in machine learning and/or healthcare.

Benefits
Extracted with AI

  • PTO
  • Uncapped Sick Days
  • Medical/Dental/Vision Coverage
  • 401k Matching
  • $1,500 USD Home Office Budget
  • Virtual and Local Office Team Building Events
  • Annual Company Off-site

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