Data Science Dev/Ops Engineer

Yale New Haven Health•Stratford, CT

About The Position

Data Science Dev/Ops Engineer will be an experienced system administrator and DevOps engineer with a proven track record of managing distributed hardware and software environments, integrating emerging technologies and working within a collaborative development and analytics environment. The individual will be responsible for management of dedicated and virtual environments that run data science platforms using Kubernettes. The individual must have familiarity with both Linux and Windows environments.

Requirements

Bachelor's Degree required
Three to four years of experience in healthcare information technology
Seven to ten years prior experience in ITS, electronic health records or data science platforms
Strong background in Linux and Windows system administration
Experience with deployment and maintenance of the Kubernetes platform
Knowledge of Python and other data science tools
Familiarity with Kerberos and or Active Directory configuration
Knowledge of DevOps tools (Ansible) for deployment and configuration of infrastructure, container orchestration and implementation of security frameworks within a distributed environment for application deployments

Nice To Haves

Master's Degree in Healthcare Administration, ITS, or related field preferred
Prior experience in Healthcare or other regulated environment (such as financial services) preferred

Responsibilities

Coordinates and supports Ubuntu Linux engineering and operations
Deploying, managing and administering Kubernetes
Manages container workloads (Kubernetes)
Develops and supports Infrastructure as code (Python, Ansible, Helm, GitLab)
Monitoring and alerting (Prometheus)
Coordinates and supports Nutanix operations (management of virtual servers)
Researches new technologies or methods to advance technical capabilities of the Co-op
Works with system owners to consult on system design and gather technical requirements for complex IT systems
Experience designing to high availability and disaster recovery requirements. This includes designing system across data centers, clusters and within data centers including failover testing
Ability to draft system documentation inclusive of KB articles, technical specifications, architecture diagrams
Knowledge of storage systems (NAS, SAN, AWS S3)
Participates in the creation of data management plans for key projects
Develops data inventory for new data sets within the platform
Assists with defining application use cases and requirements
Assists with the development and review of enterprise application architectures
Consults with team members related to healthcare database access, particularly for Epic-related data warehouse systems
Builds new tools to automate workflows
Ability to develop applications within a data science platform
Creates and maintains regular status reports
Attends weekly team meetings to discuss team and project related activities, issues, change, communications, and updates
Completes specific task activities as documented in work plans
Supports department with application and information systems knowledge
Promotes a team atmosphere that is conducive to the overall accomplishment of goals, schedules, and deadlines
Openly shares information with all team members
Documents and maintains all required architecture and software comments and configures systems accordingly
Contributes to preparation of testing scripts and materials and performs unit, system, and integrated testing tasks
Assists with implementation and deployment plans and contributes information to change control process
Provides expertise and experience to the development of production environment readiness plan
Provides training to other staff as appropriate
Helps coordinate interactions with vendors
Work closely with departmental staff to identify needs and benefits of implementing software solutions and strives to understand their needs