Engineer III, Software

• Work as part of a team to design, develop, test, deploy, maintain, and improve software, including leveraging AI tools to accelerate each phase
• Deliver high-quality software solutions using C#, .NET, MS SQL, and Microservices architecture, applying AI assistance where appropriate while maintaining engineering rigor
• Use AI systems to generate or refine code, tests, design artifacts, documentation, and troubleshooting strategies
• Collaborate with software quality engineers in all phases of testing, including using AI to generate, optimize, and validate test cases
• Collaborate with cross-functional teams on documentation and training; use AI to accelerate documentation creation and knowledge sharing
• Conduct code reviews-including review of AI-generated code-to ensure maintainability, security, performance, and compliance
• Create unit tests (including AI-suggested tests) to ensure code quality throughout the application's lifecycle
• Understand how Omnicell solutions meet customer needs and how products are used across the continuum of care
• Grow and mentor other engineers in both traditional engineering practices and AI-assisted workflows
• Demonstrate strong prompt-engineering fundamentals: iterating on prompts, validating AI outputs, and selecting the right AI tool for the right task
• Advocate for and model an AI-first engineering mindset, focusing on productivity, safety, and innovation

• Expertise in C#.Net, MS SQL, React framework
• Expertise in Cloud technologies such as Microservices, Kafka, etc.
• Expertise in Object-Oriented analysis, design, and programming
• Expertise in using design and refactoring patterns
• Good understanding of cloud technologies
• Good understanding of cybersecurity principles
• Proven analytical and problem-solving skills
• Proven interpersonal communication skills
• Proficient in Agile/Scrum software development lifecycle management
• Proficient in distributed source code control like Git
• Understanding of Internationalization / Localization
• Ability to effectively use AI tools for software design, development, analysis, testing, and documentation
• Experience or strong interest in prompt engineering-crafting prompts, validating output, and refining AI-assisted workflows
• AI literacy: ability to understand AI strengths, limitations, risks, prompts reusability, and responsible-use practices, * Bachelor's degree in Engineering, Computer Science, Math, Physics or other Science/ Engineering field preferred; experience may be considered in lieu of Bachelor's degree
• 8+ years hands-on experience in software development with degree
• Demonstrated software leadership experience in an agile environment

Preferred Qualifications

• M.S. in Computer Science, Computer Engineering or other engineering fields of study
• Healthcare or Medical Device software development experience