Senior Cloud-Native Solution Architect: Modernization & AI

Karsun Solutions, LLC; Colorado; Presencial; USD 185.000 - 205.000; Jornada completa

Descripción de la vacante

Karsun Solutions is seeking a Lead Solution Architect to drive application modernization, cloud-native architecture, and modern software practices for transforming legacy systems into scalable microservices with AI/ML integration.

The ideal candidate will balance strategic thinking with hands-on coding, collaborate with SRE, data, and business SMEs, and evangelize modern development methodologies across teams in a US government context.

Formación

• 15+ years of software architecture and development experience.
• 7+ years designing and implementing microservices, REST APIs, event-driven systems at scale.
• 5+ years cloud architecture experience (AWS, Azure, or GCP) with containers.
• Strong coding skills in Java, Python, JavaScript/TypeScript, C#, or Go.
• Ability to translate complex concepts for business and technical audiences.

Responsabilidades

• Define and articulate the technical vision and multi-year roadmap.
• Lead the design and implementation of cloud-native architectures with microservices and API-first design.
• Develop and deploy ML models and data pipelines leveraging Python and MLOps principles.
• Guide modernization from legacy systems to cloud-native, microservices-based solutions.
• Provide hands-on technical leadership with proofs-of-concept and demos.
• Champion AI-assisted development tools to improve SDLC productivity.
• Establish security architecture aligning with federal requirements (FISMA, FedRAMP, NIST).

Conocimientos

Microservices

REST APIs

Cloud architecture

Docker/Kubernetes

Programming (Java/Python/JS/C#/Go)

Security architecture

DevSecOps

Technical leadership

Stakeholder alignment

AI/ML familiarity

Educación

BS in CS/Software Eng

Herramientas

Terraform

CloudFormation

Jaeger

ELK

Descripción del empleo

Karsun Solutions is seeking a Lead Solution Architect to drive application modernization, cloud-native architecture, and modern software practices for transforming legacy systems into scalable microservices with AI/ML integration.

The ideal candidate will balance strategic thinking with hands-on coding, collaborate with SRE, data, and business SMEs, and evangelize modern development methodologies across teams in a US government context.