Lead Cloud & AI Modernization Architect

Netsmart

Overland Park (KS)

On-site

USD 150,000 - 210,000

Full time

14 days+

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Job summary

Netsmart seeks a Lead Software Architect to drive Cloud & AI Modernization for the myAvatar platform in Overland Park, KS. This role combines hands-on architecture with practical software delivery, partnering across Engineering, DevOps, Product, and Security to evolve legacy systems into scalable, cloud-native solutions.

You will guide architecture direction, design patterns, and production readiness while exploring AI-enabled workflows that enhance healthcare capabilities.

Qualifications

  • Bachelor's degree in Computer Science or related field or equivalent experience.
  • Experience leading architecture for enterprise-scale applications.
  • Hands-on with modernization of legacy systems toward cloud-enabled architectures.

Responsibilities

  • Lead architecture decisions for the myAvatar platform in alignment with modernization goals.
  • Partner with engineering to design scalable, secure, and observable architectures.
  • Provide hands-on guidance via reviews, prototypes, and reference architectures.
  • Modernize legacy systems using modularization, API-first design, and cloud-native patterns.
  • Collaborate with DevOps and cloud teams to improve deployment, reliability, and observability.

Skills

Architect leadership
AWS & cloud-native
Distributed systems
APIs & microservices
CI/CD & DevOps
Security & observability
Programming: Java/.NET/C#
SQL Server / PostgreSQL

Education

Bachelor's degree or equivalent

Tools

Kubernetes
Infrastructure-as-code
Event-driven systems
DevOps tooling
Platform engineering

Job description

Netsmart seeks a Lead Software Architect to drive Cloud & AI Modernization for the myAvatar platform in Overland Park, KS. This role combines hands-on architecture with practical software delivery, partnering across Engineering, DevOps, Product, and Security to evolve legacy systems into scalable, cloud-native solutions.

You will guide architecture direction, design patterns, and production readiness while exploring AI-enabled workflows that enhance healthcare capabilities.

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