Software Engineer, Infrastructure
- San Francisco, CA, United States
- Toronto, ON, Canada
- Apache Spark
We’re on a mission 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.
You are someone who is passionate about intelligent automation: you get excited about being the 10X multiplier on your teammates. You will be leading the way for us in devops and security. 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.
Please note, this position has a minimum requirement of 3+ years of experience. For earlier career candidates, we encourage you to apply to our SF and/or Toronto locations
Work to ensure the stability, security, and performance of Fathom’s platform
Develop internal tools that make 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
We're looking for teammates who bring:*
3+ years of development experience in a company/production setting
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
Expertise with Python
Familiarity with 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
Experience with devops in support of machine learning
Interest in machine learning and/or healthcare
We're building a deep learning system to structure and organize all the free text in patient medical records. Our first application for this system is automatically turning that text into health insurance billing codes. Each year, $3.5 billion is spent on using manual labor to solve this problem with only 83-85% accuracy achieved. Our financing was led by Google Ventures and 8VC and our engineering team comes from Google, Facebook, and Twitch.
We are driven and passionate, motivated by learning, personal growth and impact. We have a heavy emphasis on feedback and communication, running our OKRs on two weeks cycles and monthly one hour check-ins.
- Apache Spark
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