Senior Software Engineer (Infrastructure) 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 a Senior Software Engineer (Infrastructure) to join our expanding team in the Toronto area. 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 and cloud service mastery savvy to design, deploy, and monitor all operational aspects of our platform.
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 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: 5+ years of software engineering experience in a company/production setting
Knowledge of algorithms, data structures and systems design
Experience with building, controlling, and monitoring secure cloud-based platforms
An ability to define, defend, and drive technical infrastructure decisions and initiatives
Basic operational familiarity with databases (SQL and NoSQL) and ability to help pick and implement the right tool for a given job
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: Company Equity
PTO and Uncapped Sick Days
RRSP Matching
$1,500 USD Home Office Budget
Virtual and Local Office (San Francisco, New York City and Toronto) Team Building Events
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