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Senior Software Engineer

LinkedIn HCA Healthcare Nashville, TN
Not Applicable Posted April 5, 2026 Job link
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Requirements
  • Strong application development skills are required using ReactJS, TypeScript, and Python.
  • Experience with AI assisted tooling such as GitHub Copilot, Lovable.dev, v0.dev, bolt.new, or other Vibe Coding tools is required.
  • Possess deep knowledge and extensive experience in software design patterns.
  • 5+ Years Relevant Work Experience Required
  • Technology Experience: 5+ years of experience in most of the following:
  • If you don’t have experience in some of these, you are able to work collaboratively on a cross-functional team that builds Data Science signal delivery, data pipeline, and DevOps infrastructure.
  • Experience with cloud development technologies, especially Google Cloud Platform
  • Strong proficiency in multiple programming languages especially Python and SQL required.
  • Data engineering experience including architecture for ingesting, transforming, and feature engineering data elements used for data science and machine learning.
  • Deep understanding of steaming and event driven architectures
  • Strong understanding of best practices in the design of REST-based APIs
  • Nuanced understanding of distributed version control
  • Experience in data acquisition, data cleansing and parsing required.
  • Detailed understanding of DevOps practices and extensive experience with associated tools.
  • Extensive experience and deep understanding of container-based platforms such as Docker, Kubernetes, OpenShift, and Cloud Run
  • Extensive Experience with container monitoring applications such as monitoring solutions such as Cloud Monitoring, SysDig, Data Dog, AppDynamics, New Relic, Nagios, and Zabbix
  • Understanding of data science concepts.
  • SQL experience / database interrogation techniques
  • Linux command line skills
  • Scrum, Agile, Lean Product Development, Domain Driven Design
  • Excellent communication skills, both written and verbal
  • Experience and deep knowledge of Service Oriented Architecture (SOA)
  • Builds relationships within the department and across multi-disciplinary teams to assist in facilitating discussions regarding data outputs and feedback on usage activities to improve AT impact.
  • Adaptability - Expected Level of Competency
  • Ability to network with corporate and field contacts.
Preferred Skills
  • GCP experience is preferred.
  • Experience with AI assisted tooling such as GitHub Copilot, Lovable.dev, v0.dev, bolt.new, or other Vibe Coding tools is required.
  • Experience with healthcare data and technology is preferred.
  • Or equivalent combination of education and/or experience
  • If you don’t have experience in some of these, you are able to work collaboratively on a cross-functional team that builds Data Science signal delivery, data pipeline, and DevOps infrastructure.
  • Experience with cloud development technologies, especially Google Cloud Platform
  • Data engineering experience including architecture for ingesting, transforming, and feature engineering data elements used for data science and machine learning.
  • Deep understanding of steaming and event driven architectures
  • Strong understanding of best practices in the design of REST-based APIs
  • Nuanced understanding of distributed version control
  • Experience in data acquisition, data cleansing and parsing required.
  • Detailed understanding of DevOps practices and extensive experience with associated tools.
  • Extensive experience and deep understanding of container-based platforms such as Docker, Kubernetes, OpenShift, and Cloud Run
  • Extensive Experience with container monitoring applications such as monitoring solutions such as Cloud Monitoring, SysDig, Data Dog, AppDynamics, New Relic, Nagios, and Zabbix
  • Understanding of data science concepts.
  • SQL experience / database interrogation techniques
  • Linux command line skills
  • Scrum, Agile, Lean Product Development, Domain Driven Design
  • Experience and deep knowledge of Service Oriented Architecture (SOA)
  • Healthcare experience, preferable
  • Treats change and new situations as opportunities for learning or growth.
  • Focuses on the beneficial aspects of change and speaks positively about the change to others.
  • Seeks to understand changes in work tasks, situations, and environment as well as the logic or basis for change.
  • Builds relationships within the department and across multi-disciplinary teams to assist in facilitating discussions regarding data outputs and feedback on usage activities to improve AT impact.
Education
  • (Required) – Bachelor Degree required
  • (Not required) – Masters Degree preferred
  • (Not required) – Work Experience in lieu of Degree considered
  • (Not required) – Or equivalent combination of education and/or experience