Senior Cloud‑Native Solutions Architect

Karsun Solutions; Herndon (VA); Híbrido; USD 185.000 - 205.000; Jornada completa

Descripción de la vacante

Karsun Solutions seeks a Lead Solution Architect to drive modernization of legacy applications into cloud-native, microservices-based systems. You will lead architectural strategy, guide cross-functional teams, and enable AI/ML and low-code integrations to transform business outcomes.

The role blends strategic vision with hands-on implementation, requiring strong communication to both technical and business stakeholders and a hybrid schedule for DMV-area candidates.

Formación

• BS degree in CS/SE/IT or related field.
• 15+ years in software architecture and development with modernization leadership.
• 7+ years designing microservices, RESTful APIs, event-driven patterns.
• 5+ years cloud architecture (AWS/Azure/GCP) with containers and serverless.
• Strong coding in Java, Python, JavaScript/TypeScript, C#, or Go.

Responsabilidades

• Define technical vision and multi-year modernization roadmap.
• Design cloud-native architectures using microservices and API-first design.
• Develop ML data pipelines and AI/ML integrations with Python.
• Lead architecture governance and stakeholder alignment.
• Demonstrate hands-on leadership with prototypes and demos.
• Champion AI-assisted development tools and DevSecOps practices.
• Collaborate with SRE, data architects, and business SMEs.

Conocimientos

Java

Python

JavaScript/TypeScript

C#

Go

RESTful APIs

Microservices

Cloud architecture

DevSecOps

CI/CD

Terraform

CloudFormation

Docker

Kubernetes

OAuth/OIDC/SAML

Security by design

Educación

BS degree in Computer Science/Software Engineering/IT

Herramientas

Docker

Kubernetes

Terraform

CloudFormation

Power Automate

UIPath

Descripción del empleo

Karsun Solutions seeks a Lead Solution Architect to drive modernization of legacy applications into cloud-native, microservices-based systems. You will lead architectural strategy, guide cross-functional teams, and enable AI/ML and low-code integrations to transform business outcomes.

The role blends strategic vision with hands-on implementation, requiring strong communication to both technical and business stakeholders and a hybrid schedule for DMV-area candidates.