About the Job Our client 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. Their 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. They are a venture-backed company that completed a Series B round of financing for $46M in late 2022.
Our client is hiring for a Software Engineer (Infrastructure) based in the San Francisco Bay area to join their expanding team. This opportunity is worth exploring if you are someone who is passionate about intelligent automation and excited about being the 10X multiplier on your team. They are looking for experienced candidates who are comfortable operating with autonomy. They need you to utilize your combination of strong software engineering experience, infrastructure, and cloud service mastery to design, deploy, and monitor all operational aspects of their platform.
Your role and responsibilities will include: Working to ensure the stability, security, and performance of the platformDeveloping dependable internal tools that aid their machine learning and software engineers to be more efficient, in everything from infrastructure deployment to continuous integration and testingMaintaining and configuring internal development environmentsKnowledge of algorithms, data structures, systems design, and access control systemsCollaborating with 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 settingRelevant experience developing backend, integrations, data pipelining, infrastructure, etc., projects in a production settingProblem-solving skills and first principles thinkingStrong 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 settingExperience with building, controlling, and monitoring secure cloud-based platformsAn ability to help pick and implement the right tool for a given job and to define, defend, and drive technical infrastructure decisions and initiativesEffective communication and exceptional collaboration skills Bonus points if you have: Fluency in PythonKnowledge of Google CloudExperience with tools like Docker, Kubernetes, and/or SparkFamiliarity with continuous integration systems like CircleCI or Jenkins and/or continuous delivery systems such as SpinnakerSkills in MLOpsInterest in machine learning and/or healthcare Compensation: Salary: $100,000 USD - $175,000 USDCompany Equity Benefits: PTO and Uncapped Sick DaysMedical/Dental/Vision Coverage401k Matching$1,500 USD Home Office BudgetVirtual and Local Office (San Francisco, New York City, and Toronto) Team Building EventsAnnual Company Off-site