Software Engineer in a hybrid development team enhancing DevOps processes with CI/CD implementation. Responsible for cloud infrastructure, software development, and performance monitoring.
Responsibilities
This position is a hybrid role working on a software development team and providing oversight and continuous improvement of existing DevOps/automation processes.
Designing and maintaining CI/CD pipelines.
Managing cloud infrastructure.
Monitoring system performance and troubleshooting issues across development, test, and production environments.
Designing, developing, and maintaining high-quality software applications tailored to meet user and business needs.
Leveraging expertise in automation tools, scripting languages, and configuration management to drive operational excellence and continuous improvement.
Requirements
Bachelor's Degree - Computer Engineering, Computer Science, Information Systems, Mathematics, Engineering, Informatics or 6 years of related experience.
Master's Degree - MBA or STEM area of study or an equivalent combination of education and experience.
8 years - Related experience in data, analytics, and/or Business Intelligence (BI) tools and technologies experience with direct Enterprise Production ownership and publishing.
8 years - SQL, Cloud, Visual Studio, ADO, Power BI, Tableau, or other development, reporting or coordination/collaboration tools.
Electronic Medical Records (EMR) proficiency or certification (If applicable).
8 years - Strong organizational, presentation, and writing skills and ability to successfully interact across functions at all levels of an organization and with customers.
8 years - In depth experience with developing data and product roadmaps & functional specifications, UAT, Customer support, launching new products, conducting customer research, and facilitating user testing.
5 years - Experience in the Healthcare Industry. Preferably in relevant Electronic Medical Records (EMR) certifications, where applicable.
3 years - Experience with cloud platforms (such as AWS, Azure, or GCP), containerization technologies (like Docker and Kubernetes), and infrastructure-as-code tools.
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