Hallmark Healthcare Workforce Technology
Sr. Software Engineer
Employment
Not statedLevel
SeniorCategory
EngineeringCountry assessment
Not doable from Austria because the employer's own board marks it as not remote.
Our assessment is guidance. Confirm arrangements with the employer.
Skills mentioned in this posting
Job description
At Hallmark Health Care Solutions, what we do and how we do it go hand in hand. We bring a relentless focus to both our products and our people—grounded in curiosity, a bias for action, accountability and ownership, strong judgment, and a willingness to challenge the status quo in pursuit of better outcomes. Hallmark Health Care Solutions is led by passionate experts with an average of 20+ years’ experience in IT, nursing, process engineering, finance, and healthcare.
We are committed to strengthening communities by producing technologies, support services, and thought leadership that tangibly improve patient care and community health outcomes. Must be located in Dallas, TX, New Jersey or New York City metro area and willing to have an onsite interview, and/or work a hybrid schedule. Hallmark Health Care Solution is seeking a hands-on professional with strong Microsoft stack, Azure, Angular, and cloud-native application expertise.
The ideal candidate will lead teams, design scalable solutions, and drive engineering best practices.
- Seeking a hands-on professional with strong Microsoft stack, Azure, Angular, and cloud-native application expertise.
- The ideal candidate will lead teams, design scalable solutions, and drive engineering best practices.
- Experience with Azure AI, Azure OpenAI, or similar platforms is required.
- The role combines technical design, hands-on development, code reviews, and mentoring.
- Design and develop scalable enterprise applications using C#, .NET Core/.NET 8+, ASP.NET Core, and Web APIs.
- Develop modern, responsive front-end applications using Angular and TypeScript.
- Build secure RESTful APIs and microservices.
- Optimize application performance, scalability, and reliability.
- Troubleshoot complex production issues and provide root cause analysis.
- Exposure to Basic Azure Cloud & Infrastructure Management and services like AKS, Service Bus, App Insights etc.
- Design and implement authentication and authorization using Microsoft Entra ID (Azure AD) and Azure AD B2C (Microsoft Entra External ID).
- Candidate should have practical experience implementing AI solutions
- Should have exposure to Database design & Performance optimization AI Solution Design & Delivery
- Understand business problems and translate them into scalable AI/ML and Generative AI solutions.
- Design, develop, and deploy enterprise-grade AI systems with a strong focus on reliability, scalability, monitoring, and measurable outcomes.
- Lead or contribute to multiple AI initiatives simultaneously while coordinating with engineering leads, product managers, architects, and offshore teams.
- Independently drive proof-of-concepts, pilots, and production implementations.
- Candidate should have practical experience implementing AI solutions
- Should have exposure to Database design & Performance optimization AI Solution Design & Delivery
- Understand business problems and translate them into scalable AI/ML and Generative AI solutions.
- Design, develop, and deploy enterprise-grade AI systems with a strong focus on reliability, scalability, monitoring, and measurable outcomes.
- Lead or contribute to multiple AI initiatives simultaneously while coordinating with engineering leads, product managers, architects, and offshore teams.
- Independently drive proof-of-concepts, pilots, and production implementations. Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
- 5+ years of software development experience using Microsoft technologies.
- Expert-level proficiency in: C#,.NET Core / .NET 6/7/8 ,ASP.NET Core ,Web APIs,Entity Framework Core ,SQL Server
- Strong experience with Angular (v12+) and TypeScript.
- Hands-on experience building and deploying production AI systems.
- Experience delivering AI initiatives independently in enterprise environments. •Strong understanding of LLMs, Agentic AI architectures, and RAG systems. •Extensive experience designing and developing cloud-native applications on Microsoft Azure. •Strong understanding of Microservices Architecture and Domain-Driven Design (DDD).
- Experience implementing CI/CD pipelines using Azure DevOps or GitHub Actions.
- Strong knowledge of Azure AD, Azure AD B2C (Microsoft Entra External ID), OAuth 2.0, and JWT. •Excellent debugging, troubleshooting, and performance optimization skills. Experience conducting technical design reviews and code reviews. Must be located in Dallas, TX, New Jersey or New York City metro area and willing to have an onsite interview, and/or work a hybrid schedule