Manager, Engineering
Listed on 2026-02-28
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IT/Tech
Systems Engineer, Cloud Computing, IT Project Manager, AI Engineer
Key Responsibilities
- Guides the architecture and design of cloud-native healthcare SaaS applications, ensuring scalability, security, and performance.
- Guide secure architecture design and integration of AI/ML capabilities.
- Set technical direction and standards for full-stack development (C#, .NET, JavaScript/Type Script, SQL Server).
- Oversee adoption of microservices, CI/CD pipelines, and Dev Ops practices.
- Ensure solutions adhere to healthcare data standards (HIPAA, HL7, FHIR, DICOM) and secure coding practices.
- Lead the development of interoperable systems that integrate with EHRs and clinical platforms.
- Stay current with healthcare regulations and data privacy requirements.
- Drive agile methodologies and Dev Ops practices across the engineering team.
- Translate business goals into technical deliverables, managing timelines, risks, and resources.
- Champion continuous improvement in engineering processes and tools.
- Leverage AI tools to accelerate development and improve software quality.
- Collaborate effectively with product, clinical, compliance, executive, customer success, and client service teams.
- Communicate technical concepts to non-technical stakeholders and drive alignment across functions.
- Represent engineering in strategic planning and technology evaluation forums.
- Coach, mentor, and manage performance to foster individual growth and accountability, ensuring alignment with organizational goals.
- Recruit, develop, and retain top talent by building strong capabilities and creating clear career development pathways/providing opportunities for continuous learning and advancement.
- Cultivate a high-performing culture that promotes engagement, collaboration, and continuous improvement across teams.
- Bachelor’s degree in Computer Science, Engineering, or related field.
- 5 years of relevant experience.
- Demonstrated leadership ability in projects or team collaboration.
- Experience in healthcare SaaS environments and cloud platforms.
- Ability to travel 10-15% is required.
- Master’s degree in Engineering, Computer Science, or related discipline.
- Certifications in cloud architecture, agile leadership, or healthcare IT standards.
- Experience with AI/ML technologies and their application in healthcare.
This position is also eligible for bonus as part of the total compensation package.
Pay RangeThe salary range for this position (in local currency) is -
Equal Opportunity EmployerFortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities.
Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at
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