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Lead Software Architect, Cloud & AI Modernization — Post-Acute; Onsite

Job in Overland Park, Johnson County, Kansas, 66204, USA
Listing for: Netsmart Technologies
Full Time position
Listed on 2026-10-15
Job specializations:
  • Software Development
    Software Architect, Cloud Engineer - Software, DevOps
Job Description & How to Apply Below
Position: Lead Software Architect, Cloud & AI Modernization — Post-Acute(Onsite
About the Role:

Netsmart is seeking a Lead Software Architect, Cloud & AI Modernization to support our Post-Acute engineering organization. This role will help guide architecture across complex healthcare technology solutions that support providers, clinicians, and communities across post-acute care.

We are looking for a software architecture leader who can work close to the development teams, understand existing application architecture, and help modernize products as Netsmart continues to scale cloud-based and AI-enabled capabilities. This person should bring a strong software development foundation, practical AWS/cloud knowledge, Dev Ops partnership experience, and the ability to operate effectively across a matrixed organization.

This role is onsite in Overland Park, KS, and candidates must live in or relocate to the Greater Kansas City metro area.

What You’ll Do:

• Lead architecture strategy and technical design for Post-Acute applications and platforms.
• Work hands-on with engineering teams to evaluate current-state architecture, identify modernization opportunities, and guide practical execution.
• Support legacy application modernization through modular architecture, API design, service decomposition, cloud migration patterns, and scalable engineering practices.
• Partner with Dev Ops, Hosting, Cloud, Security, Product, UX, and engineering leaders to align architecture decisions with delivery needs and operational realities.
• Provide technical leadership through design reviews, code reviews, architecture documentation, proof-of-concepts, and reusable patterns.
• Guide engineering teams on AWS architecture, distributed systems, CI/CD, observability, reliability, security, and performance.
• Identify opportunities to responsibly integrate AI, automation, analytics, or data-driven features into Post-Acute products and workflows.
• Translate complex technical tradeoffs into clear recommendations for business, product, and technology leaders.
• Help teams balance modernization goals with client commitments, regulatory expectations, quality, and production stability.
• Promote engineering standards that improve maintainability, scalability, reliability, and speed of delivery

What You’ll Bring Strong software engineering background with experience as a Software Architect, Lead Engineer, Technical Lead, Senior Architect, or similar role.

Hands-on experience with enterprise-scale application development and modernization.

Experience working with legacy applications and helping teams evolve them toward more scalable, cloud-enabled architecture.

Strong understanding of AWS, cloud-native patterns, distributed systems, APIs, microservices or modular architecture, CI/CD, observability, and Dev Ops practices.

Experience in one or more relevant development ecosystems such as Java, .NET, C#, SQL Server, PostgreSQL, or similar enterprise technologies.

Ability to earn credibility with engineers by connecting architecture direction to real development and operational realities.

Strong communication skills with the ability to influence without direct authority in a matrixed environment.

Interest in AI, machine learning, automation, or data-driven product capabilities, with a practical view of how to bring those capabilities into production responsibly.

Bachelor’s degree or equivalent relevant experience.

Must be onsite in Overland Park, KS.

Preferred Experience Healthcare technology, EHR, clinical workflow, human services, post-acute, care management, or regulated industry experience.

Experience modernizing complex enterprise applications in AWS.

Experience with Kubernetes, infrastructure-as-code, event-driven systems, Dev Ops, or platform engineering.

Exposure to AI/ML, LLMs, MLOps, responsible AI, or intelligent…
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