Senior Software Engineer, Infrastructure

Senior Software Engineer, Infrastructure

Toronto, Ontario, Canada †-†Permanent


Job Description

Our client is a San Francisco based technology company with an engineering team out of Google, Facebook, Amazon, and Dropbox. They're on a mission to automate away the $500B spent annually on administrative costs in the US healthcare system. They work with some of the nationís largest RCM organizations and physician groups. They empower medical coding operations with a world-class solution that is faster, more accurate, and more cost effective than any existing solutions.

They're looking for a Senior Software Engineer, Data to work on data products that drive the core of the business. They want to work with teammates in the Toronto area, who are excited about learning how to build and support machine learning pipelines that scale not just computationally, but in ways that are flexible, iterative, and geared for collaboration. If you are a data expert able to unify data, and build systems that scale from both an operational and an organizational perspective, our client is an interesting opportunity to explore.

Responsibilities:

● Working to ensure the stability, security, and performance of the 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


Must Have Skills:

● 5+ 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


Nice to Have Skills:

● 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 devops in support of machine learning
● Interest in machine learning and/or healthcare


Details:

Starting: ASAP
Travel: 0%
Dress Code: Casual







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