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DevOps Engineer

San Francisco, California  - Permanent



Job Description

Our client is on a mission to structure and understand the world's medical data. They are starting this process by using terabytes of data of clinician notes which contain Electronic Health Records of some of the world's largest healthcare systems.

If you are somebody who is passionate about intelligent automation, and being the sole DevOps individual for a smart but strong team you may be in the right place. You will be responsible for leading the way in DevOps and Security. You must be comfortable working autonomously. You will be utilizing Python and Linux. As well, you will be working on cloud services, scripting, information security and design, deployment, monitoring, and securing all operational aspects of the product.

Some of your responsibilities will include, but not be limited too:
-Working to ensure that the security, stability, and performance of our client's platform is running smoothly
-Developing internal tools that make the lives of the software engineers and machine learning engineers more efficient
-Everything from infrastructure deployment, to continuous integration, and testing
-Maintaining and configuring all internal development and access control systems
-Owning and enforcing all security and data access policies
-Collaborating with the product and analytics team to identify long-term projects and infrastructure needs in advance


Must Have Skills:

-Building, controlling, and monitoring distributed systems
-Continuous integration systems (CircleCI or Jenkins)
-Setting up monitoring systems
-Experience with Docker
-Basic familiarity with DB (SQL and NoSQL) ability to identify the right tool for the job
-Define, Drive, and defend technical infrastructure initiatives and decisions
-Understanding of network security best practices


Nice to Have Skills:

-Airflow, Spark, Kubernetes, Mesos
-Experience within HIPAA environment or high-compliance environments
-Google Cloud or Azure
-Supporting infrastructure and DevOps within a Machine Learning environment


Details:
Starting: ASAP
Travel: 20%
Dress Code: Casual
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