Senior Software Developer - Healthcare Solutions

Senior Software Developer Role Overview Do you have experience building complex, enterprise-scale software solutions, and do you want to put modern cloud and AI technologies to work where they make a real difference? We are looking for motivated, team-oriented engineers to help shape the next generation of our platform and make a powerful impact in the healthcare industry.

To succeed as a Senior Software Developer, you should bring deep expertise in modern .NET and cloud-native development on Microsoft Azure, hands-on experience building with AI and large language models (LLMs), the ability to learn new technology quickly, and the ability to provide technical leadership in a team environment. You will help evolve a mature, mission-critical platform while building the AI-enabled capabilities that will define its future.

Main Responsibilities Lead Agile, globally distributed development teams and ensure results through sound technical decision-making.

• Work with the Software Development Manager to establish engineering best practices and ensure the team meets its code quality goals.
• Mentor junior engineers on standards and effective use of AI-assisted development tools.
• Communicate technical concepts and decisions clearly to non-technical stakeholders.
• Design, develop, test, deploy, and support cloud-native healthcare applications and services.
• Implement secure RESTful APIs and system interfaces, including healthcare interoperability standards.
• Help define how AI features are tested, monitored, and safeguarded.
• Modernize legacy components towards current .NET architectures.
• Participate in production support and root-cause analysis.
• Collaborate daily with product, design, QA, and implementation teams.

Key Requirements

• 5+ years of professional experience designing and developing enterprise software.
• Expert-level C# and modern .NET (including ASP.NET Core and Entity Framework Core).
• Strong SQL Server skills, including data modeling and performance tuning.
• Hands-on experience with Microsoft Azure services.
• Experience designing RESTful APIs and scalable systems.
• Practical experience integrating LLMs into applications.
• Proficient use of AI-assisted development tools.
• Experience with Git, CI/CD pipelines, and automated testing frameworks.
• Solid understanding of application security fundamentals.
• Bachelor’s degree in computer science, engineering, or a related field preferred.

Nice to Have

• Experience with Python for AI/ML or data processing.
• Familiarity with AI agent frameworks and tooling.
• Experience with healthcare industry standards such as HIPAA and HL7 FHIR.
• Experience with containers and infrastructure-as-code tools.
• Relevant Microsoft Azure or AI certifications.

Other Details This position is based in a remote or hybrid environment, with a focus on delivering impactful healthcare solutions. Duration and project specifics will be discussed during the interview process.