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Software Engineer (Infrastructure)

New York, NY, United States

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.

Fathom is hiring for an Software Engineer (Infrastructure) based in the New York City area to join our expanding team. This opportunity is worth exploring if you are someone who is passionate about intelligent automation and you get excited about being the 10X multiplier on your team. To that end, we are looking for experienced candidates who are comfortable operating with autonomy. We need you to utilize your combination of strong software engineering experience, infrastructure and cloud service mastery savvy to design, deploy, and monitor all operational aspects of our platform.

Please note that New York area opportunities are hybrid only and require 3 days in office weekly at our financial district location in Manhattan.

Your role and responsibilities will include:

Working to ensure the stability, security, and performance of Fathom’s platform

Developing dependable internal tools that aid our machine learning and software engineers more efficient, in everything from infrastructure deployment, to continuous integration and testing

Maintaining and configuring internal development

Knowledge of algorithms, data structures and systems design

and access control systems

Collaborating with our product and engineering teams to identify strategic long-term projects and preempt infrastructure needs in advance

We are looking for a teammate with:

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, systems design, 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

An 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 if you have:

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

Compensation:

Salary: $100,000 USD - $175,000 USD

Company Equity

Benefits:

PTO and Uncapped Sick Days

Medical/Dental/Vision Coverage

401k Matching

$1,500 USD Home Office Budget

Virtual and Local Office (San Francisco, New York City and Toronto) Team Building Events

Annual Company Off-site

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