Facility: 1800 Parkway Center

Job Summary:

The Sr. DevOps Engineer is an integral member of a high-performance Agile team delivering products in the healthcare space. They act as SMEs in public and private cloud deployment of digital products and services. They interface with Infrastructure and Enterprise Computing teams to maintain standards and ensure high reliability in all product deployments. They help set architectural standards and assist team members in best practices. The ideal candidate will have strong technical expertise in multiple programming languages, infrastructure standards, application integration patterns, and thrive in a highly collaborative environment.

Core Responsibilities and Essential Functions:

Participate as a member of a high-performance Agile team. Participate in architectural reviews and propose alternative solutions. Collaborate with application engineering teams, data engineering teams, and business automation teams. Interface with technical and business stakeholders to gather an understanding of use cases and workflows. Educate peers on best practices and cutting-edge solutions Performs other duties as assigned Complies with all Wellstar Health System policies, standards of work, and code of conduct.

Required Minimum Education:

• Bachelors Computer Science or Bachelors Computer Engineering

Required Minimum License(s) and Certification(s):

All certifications are required upon hire unless otherwise stated.

Additional License(s) and Certification(s):

Required Minimum Experience:

Minimum 10 years Cumulative experience with engineering, scripting, infrastructure, or hardware configuration Required Minimum 5 years Experience with public clouds (e.g. Azure, AWS, GCP) Required Minimum 4 years Software engineering Required Experience with CI/CD pipelines (e.g. Jenkins, Drone, Azure DevOps) Required Experience with on-prem and cloud computing Required Experience with application virtualization and containerization Required Experience with SSO systems (e.g. OAuth2, SAML) Required Experience with event-drive architectures Preferred Experience implementing AI/ML models in production environments (cloud, edge, or on-premise). Preferred Hands-on experience with MLOps pipelines, model versioning, and CI/CD for AI deployment. Preferred Experience working with healthcare data (e.g. EHRs, imaging, genomics, claims data, FHIR/HL7 standards). Preferred

Required Minimum Skills:

Strong knowledge of database management and query languages (SQL, NoSQL, BigQuery, Snowflake). High Proficiency with PowerShell and Bash High Proficiency with at least two programming languages (e.g. Java, Kotlin, C#, NodeJS, Python) High Proficiency in working with Linux and Windows Server OS High