Engineering Manager, AI-Driven Cloud-Native Systems

WelbeHealth, LLC.; California, Northern (MO, KY); Hybrid; USD 132,000 - 174,000; Full time

Benefits offered by this job

Medical insurance (Medical, Dental, V

PTO + holidays

401K match

Base pay + bonus

Additional benefits

Job summary

WelbeHealth seeks a hands-on Engineering Manager to lead a cloud-native, Azure-based engineering team focused on scalable healthcare solutions. You will guide architecture, code quality, and delivery while embedding security by design and AI-assisted engineering practices.

You will oversee a multi-disciplinary team, drive technical ownership, and collaborate with Product, Security, and Architecture to align outcomes with organizational priorities.

Qualifications

• Bachelor’s degree in relevant field; master’s degree preferred.
• Minimum of ten (10) years of object-oriented software development experience with C#, .NET Core, and React.js on the front end.
• Minimum of four (4) years of supervisory experience with demonstrated ability to mentor and develop team members.
• Deep Azure cloud experience, including API Apps, Logic Apps, Functions, REST services, and Azure Cosmos DB.
• Experience designing and delivering microservices architecture at scale.
• Strong DevSecOps principles, with security built into code, CI/CD, and cloud from the start.
• Automated testing discipline and experience designing REST APIs and solutions that span multiple data sources.
• Hands-on experience with AI-assisted engineering tools and practices, such as LLM-based developer tooling, code generation, and workflow automation.
• Experience working in Agile/Scrum environments with iterative development cycles and rapid proof-of-concept delivery.
• Business process management (BPM) experience with Camunda preferred.

Responsibilities

• Act as the senior-most engineer for the team: design components, write high-quality code, troubleshoot complex issues, perform rigorous code reviews, and own the team's technical roadmap, leading end-to-end architecture, development, and delivery of technical solutions for internal and external healthcare systems.
• Build scalable, cloud-native solutions on Azure using microservices architecture and the .NET stack.
• Drive adoption of AI-assisted coding across the team: establish how engineers use agentic development tools for scaffolding, refactoring, test generation, and legacy code comprehension, define the code review standards that keep generated code secure and maintainable, and hold the bar on engineering judgment rather than volume of output.
• Own the engineering practices for building AI-backed features: context and retrieval design over WelbeHealth data, evaluation and monitoring, PHI-safe prompting and logging, and the human review points.
• Collaborate with Product, Architecture, Cloud, Security, and other engineering teams to define integration strategies and solution blueprints.
• Translate complex technical designs into clear communication for non-technical stakeholders, as well as work closely with business partners to align technical outcomes with organizational priorities.
• Ensure all development aligns with HIPAA, PHI/PII-safe engineering, and healthcare interoperability requirements.
• Implement secure software design patterns, RBAC, data governance, encryption standards, and cloud compliance controls, as well as apply strong engineering DevSecOps principles, building security into code, CI/CD pipelines, and cloud infrastructure from the start.
• Manage direct reports, including hiring, training, supervising, mentoring, and removing barriers so the team consistently meets established goals.

Skills

C#

NET Core

React.js

Azure Cloud

Microservices

DevSecOps

AI tooling

Agile/Scrum

BPM Camunda

Education

Bachelor’s degree in relevant field

Master’s degree preferred

Tools

Camunda

Azure Functions

Azure API Apps

Logic Apps

Azure Cosmos DB

Job description

WelbeHealth seeks a hands-on Engineering Manager to lead a cloud-native, Azure-based engineering team focused on scalable healthcare solutions. You will guide architecture, code quality, and delivery while embedding security by design and AI-assisted engineering practices.

You will oversee a multi-disciplinary team, drive technical ownership, and collaborate with Product, Security, and Architecture to align outcomes with organizational priorities.