Note: The job is a remote job and is open to candidates in USA. Centraprise is seeking a hands-on Engineering Manager to lead engineering teams and oversee the design, development, and delivery of scalable cloud-native applications. The role combines technical leadership, Azure/.NET engineering, AI-assisted development, secure software practices, people management, and Agile delivery.
Responsibilities
- Lead the technical roadmap and end-to-end architecture, development, and delivery of solutions
- Act as a senior technical leader, contributing to design, coding, troubleshooting, and code reviews
- Design and build scalable Azure cloud-native applications using .NET and microservices
- Drive adoption of AI-assisted development and LLM-based developer tools
- Build AI-backed solutions involving context/retrieval design, evaluation, monitoring, and secure prompting
- Partner with Product, Architecture, Cloud, Security, and Engineering teams
- Implement secure development practices, CI/CD, RBAC, encryption, and data governance
- Mentor and manage engineers, including hiring, training, and performance development
- Drive Agile/Scrum practices, rapid prototyping, and proof-of-concept initiatives
Skills
- 10+ years of software development experience
- Strong hands-on experience with C#, .NET Core, and React.js
- Strong Azure experience, particularly:
- Azure API Apps
- Azure Logic Apps
- Azure Functions
- REST APIs
- Azure Cosmos DB
- Proven experience designing microservices architecture at scale
- Strong DevSecOps, CI/CD, and automated testing experience
- Hands-on experience with AI-assisted engineering / LLM-based developer tools
- Experience with Agile/Scrum and rapid POC development
- 4+ years of supervisory/people leadership experience with mentoring experience
- Experience working with multiple data sources and designing REST APIs
- Strong communication, leadership, and problem-solving skills
- Bachelor's degree required
- Camunda / Business Process Management (BPM) experience
- Healthcare technology experience with HIPAA, PHI/PII, and healthcare interoperability
- Experience with AI-backed applications, retrieval/context design, and AI evaluation/monitoring
- Master's preferred
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