• Collaborate in cross-functional environment of; Systems, Instrumentation & Controls, and Human Factors Engineering • Assist in maintaining a singular master plant simulation model in SAE environment while ensuring requirements and configuration management are updated and baselined as necessary • Sets up and administers the simulation configuration management system and procedures for the SAE project • Maintains Discrepancy Report tracking database via Gitlab Issues and Issue Boards • Owns and administers all Gitlab user and project groups for both SAE and non-SAE departments • Provides GitLab User Technical Support to SAE and Non-SAE Users • Places acquired product releases under SAE Configuration Management control and deploys these within the SAE environment • Develop and edit system models in an integrated simulation environment • Develop and run scenarios for single systems, collections of interrelated systems, or entire power plant for: startup, shutdown, and maneuvering throughout all modes of plant operations

• Collaborate in cross-functional environment of; Systems, Instrumentation & Controls, and Human Factors Engineering to ensure successful deployment, implementation, and lifecycle stewardship of the multi-organization and multi-geographic SAE environment • Assist in maintaining a singular master plant simulation model in SAE environment while ensuring requirements and configuration management are updated and baselined as necessary • Set up and administer the simulation configuration management system and procedures for the SAE project • Maintain Discrepancy Report tracking database via Gitlab Issues and Issue Boards • Own and administer all Gitlab user and project groups for both SAE and non-SAE departments • Provide GitLab User Technical Support to SAE and Non-SAE Users. (Resolving Push/Merge Conflicts, Assisting with Error Message Resolution, etc.) • Place acquired product releases under SAE Configuration Management control and deploy these within the SAE environment, ultimately deploying to downstream customers • Develop and edit system models in an integrated simulation environment • Develop and run scenarios for single systems, collections of interrelated systems, or entire power plant for: startup, shutdown, and maneuvering throughout all modes of plant operations

Are you a passionate Software Developer eager to make a meaningful difference? Join our dynamic engineering team and help us deliver innovative software solutions in healthcare. We’re seeking a skilled developer to create high-quality SaaS solutions for hospitals and healthcare systems across the U.S. In this role, you’ll have the opportunity to directly impact access to care for over 100 million patients each year by developing cutting-edge software. You’ll work alongside Senior Developers, Quality Engineers, and Product Owners to build and maintain systems that meet the highest standards of quality and security—essential for healthcare applications. If you’re a driven developer with a passion for technology, a curiosity about the U.S. healthcare system, and a desire to work on projects that truly make a difference, we’d love to hear from you! What You'll Do? - Write clean, maintainable, and efficient code for new and existing software applications. - Assist in the development, testing, and deployment of software updates and features. - Collaborate with Senior Developers to design and implement new functionality. - Troubleshoot and debug application issues, providing solutions to fix and improve the product. - Work closely with the QA/UAT teams to ensure all features are thoroughly tested before deployment. - Contribute to the optimization of application performance and scalability. - Stay up-to-date with industry trends and best practices related to healthcare technology. - Develop and maintain payer/clearing house integrations via API / SFTP / Bots. - Ensure the security and confidentiality of PHI through best practices in software development

• Help other teams at Netflix understand the outcome of a change (e.g. a code change) • Provide early insights into any unintended consequences, such as increased error rates or latency • Work on expanding canary approach to new use cases, including libraries and functions. • Increase confidence that Netflix's most critical applications are resilient under different expected and unexpected conditions. • Scale out chaos testing to recurrently validate fallback behaviour on behalf of application owners.