The Role
Design and govern end-to-end, cloud-native Azure solutions across web, API, backend, data, and AI layers. Define microservices, event-driven patterns, CI/CD/DevSecOps, and IaC. Lead conversational AI/RAG, LLM integrations, and healthcare API integrations. Mentor teams and ensure scalability, resilience, security, and observability.
Summary Generated by Built In
Architect, Applications & Platforms
Primary Skills
- Azure Service Bus, Azure API Management, Azure Storage Queues, Azure Logic Apps, Azure AKS, Azure Content Delivery Network, Azure App Service, Azure Functions
Job requirements
- 7 to 10 years of experience, including substantial hands-on expertise in Azure development, full stack architecture, and AI integration within enterprise platforms
- 1. Architect and define end-to-end technology solutions across web, API, backend, data, and AI layers, ensuring scalability, resilience, and security
- 2. Lead the design and governance of modern web applications and member portals using responsive UI frameworks and API-first architecture
- 3. Establish and enforce microservices, integration, and event-driven system patterns to enable seamless enterprise and healthcare domain integration
- 4. Drive implementation of conversational AI, Retrieval Augmented Generation (RAG), agentic workflows, and prompt engineering frameworks for intelligent platform experiences
- 5. Architect healthcare domain integrations, including provider directory, benefits eligibility, cost estimation, claims status APIs, and contact center handoff
- 6. Design and implement cloud-native distributed applications on Azure, including CAF-aligned solutions, Kubernetes/OpenShift deployment, and Infrastructure-as-Code strategies
- 7. Establish CI/CD and DevSecOps practices, ensuring robust observability, monitoring, performance, and security across platforms
- 8. Mentor engineering teams on architectural best practices, technical planning, and delivery governance to drive continuous improvement and measurable outcomes
Experience Range:
Key Responsibilities:
Required Skills:
1. Architectural expertise in Azure cloud-native services
2. Full stack development with Next.js (frontend) and Node.js (backend)
3. Design and orchestration of microservices and API-first architectures
4. Implementation of AI/GenAI solutions, including conversational AI and Retrieval Augmented Generation
5. Experience with Kubernetes (AKS) and Infrastructure-as-Code
6. Integration of healthcare APIs and enterprise systems
Preferred Skills:
1. Hands-on experience with Terraform for Infrastructure-as-Code
2. Knowledge of OpenShift and event-driven architectures
3. Expertise in semantic search and vector retrieval for AI applications
4. Experience in optimizing Large Language Model (LLM) integrations
5. Familiarity with AI guardrails and responsible AI controls
6. Healthcare domain knowledge in provider search, benefits navigation, and contact center integration Desired
Qualifications:
1. Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a closely related discipline
2. Microsoft Certified: Azure Solutions Architect Expert
3. Certification in AI or Machine Learning (such as Microsoft Certified: Azure AI Engineer Associate or equivalent)
Skills Required
- 7 to 10 years of experience with substantial hands-on Azure development and full stack architecture
- Architectural expertise in Azure cloud-native services (Service Bus, API Management, Storage Queues, Logic Apps, App Service, Functions, CDN)
- Full stack development with Next.js (frontend) and Node.js (backend)
- Design and orchestration of microservices and API-first architectures
- Implementation of AI/GenAI solutions including conversational AI and Retrieval Augmented Generation
- Experience with Kubernetes (AKS) and Infrastructure-as-Code
- Integration experience with healthcare APIs and enterprise systems (provider directory, eligibility, claims, contact center handoff)
- Bachelor's degree in Computer Science, IT, Software Engineering, or related discipline
- Microsoft Certified: Azure Solutions Architect Expert
- Certification in AI or Machine Learning (e.g., Azure AI Engineer Associate or equivalent)
- Hands-on Terraform experience (preferred)
- Knowledge of OpenShift and event-driven architectures (preferred)
- Expertise in semantic search, vector retrieval, and LLM optimization (preferred)
- Familiarity with AI guardrails and responsible AI controls (preferred)
Brillio Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brillio and has not been reviewed or approved by Brillio.
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Healthcare Strength — Healthcare is considered comprehensive, including medical coverage for employees and dependents alongside life, disability, and accidental death protections. Feedback suggests these protections are a core strength of the package.
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Leave & Time Off Breadth — Time-off options include paid leave and parental leave, with flexible or ‘flexible PTO’ approaches cited in some contexts. Feedback suggests this breadth helps support work-life balance when team norms permit usage.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings span counseling, financial-management sessions, fitness programs, and travel insurance, plus region-specific extras like discounted IT hardware and work-from-home essentials. Feedback suggests these add-ons enhance perceived value beyond core insurance.
Brillio Insights
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The Company
What We Do
Brillio is the leader in global digital business transformation, applying technology with a human touch. We help businesses define internal and external transformation objectives, and translate those objectives into actionable market strategies using proprietary technologies. With 2600+ experts and 13 offices worldwide, Brillio is the ideal partner for enterprises that want to quickly increase their core business productivity, and achieve a competitive edge, with the latest digital solutions.
