Site Reliability Engineer

This is what you’ll do:

• Architect and build infrastructure to support the platform using container orchestration tools (Kubernetes preferred), serverless applications (such as Lambda), virtual machines such as EC2 (GCE or Azure VMs), Databases, etc.
• Be responsible for network and systems monitoring, alert strategies, and coming up with procedures to manage a 24x7 strategy to respond quickly to issues.
• Work closely with the engineering leaders along with machine learning and data science teams and other functions to define a vision for our SRE efforts.
• Build and maintain efficient tooling for the entire engineering team to improve productivity.

This what you'll need:

• Data driven approach and ability to quickly and effectively resolve problems.
• At least 3 years professional experience writing in either of these languages: Python (preferable), Bash, Ruby or other common languages used within the industry. 
• Experience with AWS services.
• Networking experience, comfortable working with command-line Linux.
• Excellent ability to communicate, organize, delegate, and give honest feedback, comfortable collaborating within the platform team and internally.
• Experience with Opentelemetry or similar tracing services.
• Ability to design complex systems and can help others produce great technical designs as well.
• Deep Linux troubleshooting skills, with the ability to debug kernel and driver issues.
• Willingness to participate in an on-call rotation.

This would be nice to have:

• Experience working at an early stage startup. 
• Experience in a HIPAA compliant environment. 
• Experience working in the fields of healthcare, security, or machine learning. 
• Experience with HL7 or radiology workflow is a plus.
• Experience with Opentelemerty or similar tracing services.
• Experience with Graylog or similar logging services.
• Experience with Machine Learning tooling.
• Experience working with Spark (EMR, DataProc, HD Insights) and Hadoop related technologies.