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Cloud technology to activate healthcare data on a broad scale while protecting privacy

DevOps Engineer

$70k – $120k • 0.01% – 0.02%
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How you will help
Working with our product and development teams, you will own and be responsible for architecting and implementing scalable solutions that offer our customers new insights on their own businesses. You’ll use the best tools for the job, whether modern and revolutionary or time tested and proven, to deliver elegant, scalable solutions that meet business and technical needs. Your team will support you and you the same. Peer review of solutions and implementations is expected. You will play an integral part in building the foundation of everything to come.

What you will do
Design, deployment and maintenance of multiple AWS environments
Automation of build, deployment and testing of internal data analytics tools, typically using python or shell
Troubleshooting and performance monitoring of Linux application, database, data processing servers and associated storage systems
Network analysis and architecture with a mind toward maintainability and security in an AWS VPC environment
Work with software engineering team to develop robust and scalable platforms and workflows for new analytics processes
Evaluate and integrate cloud services and tools
Develop, document, and implement migration plans
Automate log collection, storage, and investigate what performance/security insights

About you
You are data-driven, testing and measuring as much as you can
You are an expert at monitoring and measuring systems and identifying bottlenecks
You automate everything
You leverage concepts such as impermanence to build highly reliable infrastructure
You are comfortable using distributed version control like Git.
You are comfortable reading Python, Go, Java, Scala, Haskell, JavaScript, Perl or similar languages

Desired skills and experience
Expert level Linux system administration skills
Experience supporting scalable applications on distributed architectures, storing large data sets and supporting analytics
Management and scaling of traditional RDBMS
Deployment of cloud based infrastructures such as AWS, Rackspace, Joyent, etc as well as on your own iron
Hands on experience with Chef or Puppet as well as containers such as Docker
Experience with large scale data systems such as Hadoop, Casandra, Redis, Spark, Riak
3+ years of IT and business/industry work experience
Added bonus: understanding of Healthcare IT standards such as HL7 HQMF, HL7 CDA-based standards, EMR and FHIR

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