Senior Azure Cloud Engineer (.NET + AI Tools
Listed on 2026-07-08
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Software Development
.NET Developer, Cloud Engineer - Software, Azure, DevOps
Job Description
Join the healthcare information technology team that’s turning drug and medical device data into knowledge used by thousands of hospitals; the majority of U.S. health plans, retail pharmacies, and pharmacy benefit managers; and millions of healthcare decision makers throughout the world. Partnering with our information system developer and healthcare institution customers, you’ll help evolve leading-edge thinking into reality and make a measurable difference in improving human health.
We’re looking for people who are:
Intelligent. Productive. Committed. Willing and able to go above and beyond. Passionate about making a difference. Innovative. Energized. And want to play an essential role in a successful company’s continued growth.
Are you ready for this exciting challenge?
FDB is the leading provider of clinical and drug knowledge that helps healthcare professionals make precise medication-related decisions. As we accelerate our cloud modernization and AI-enabled development practices, we’re searching for a senior engineer who thrives at the intersection of Azure cloud engineering, modern .NET development, and AI-assisted software delivery.
We are seeking a Senior Azure Cloud Engineer (.NET + AI Tools) to design, build, and optimize cloud-native applications that power FDB’s enterprise healthcare solutions. This is a hands‑on engineering role that blends deep Azure expertise, strong .NET development skills, and the ability to leverage modern AI-based tools (such as Git Hub Copilot, Cursor, or AI pair programmers) to accelerate velocity, improve code quality, and drive innovation.
You will serve as a technical leader, mentor, and collaborator—contributing to architectural patterns, system design, test‑driven development, and Agile delivery processes.
This position is a hybrid role based out of our Durham, North Carolina office.
What You’ll Do- Design, develop, and maintain Azure-based applications and services using .NET/C#.
- Build and optimize cloud-native components including Azure Functions, Azure Storage (Blob/Table/Queue), Azure Service Bus, Cosmos DB, Azure SQL Database, Data Factory, Logic Apps, and Key Vault.
- Implement distributed, event-driven, and serverless architectures focused on scalability, reliability, and performance.
- Troubleshoot complex issues across APIs, microservices, data pipelines, and Azure‑managed services.
- Use AI development tools (e.g., Copilot, Cursor, or AI-enabled IDEs) to accelerate coding, testing, debugging, and refactoring.
- Apply prompt‑engineering techniques to improve code quality, system reliability, and developer efficiency.
- Explore emerging AI‑assisted engineering practices and help embed them across FDB’s engineering teams.
- Write clean, maintainable, testable code using TDD and automated testing frameworks.
- Use Azure Dev Ops for work management, source control, CI/CD pipelines, and collaboration.
- Support performance, security, and compliance by implementing engineering and architectural best practices.
- Mentor and coach junior developers, promoting high standards in cloud engineering and professional growth.
- Participate in design discussions, code reviews, architectural planning, and sprint ceremonies.
- Collaborate with Product, Architecture, QA, and Dev Ops teams to deliver high‑quality cloud solutions.
- Champion continuous improvement, innovation, and knowledge sharing across engineering teams.
Required Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
- 5–8+ years of professional software development experience with .NET/C#.
- Hands‑on experience implementing solutions with:
- Logic Apps
- Strong understanding of cloud-native patterns, distributed systems, async programming, and microservices architecture.
- Demonstrated experience with TDD, automated testing, and clean code practices.
- Proven experience using Azure Dev Ops, Git, CI/CD pipelines, and Agile methodologies.
- Ability to use AI‑assisted development tools to enhance productivity and solution quality.
- Experience mentoring engineers and leading technical…
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