Cloud Software Architect - Hybrid & AI-Driven Solutions

Nelnet, Inc.; Oklahoma; Hybrid; USD 140,000 - 170,000; Full time

Benefits offered by this job

Medical, dental, vision

401K with matching

Student loan repayment

Life insurance

AD&D insurance

Employee stock purchase plan

Tuition reimbursement

Wellness program

Paid time off

Job summary

Nelnet, Inc. is seeking an IT Cloud Software Architect to design scalable, secure cloud-native applications and guide enterprise cloud strategy.

You will align technical direction with business needs, mentor engineers, and engage clients with architecture workshops and proposals. The role blends hands-on cloud development with leadership, governance, and DevOps practices, including ongoing evaluation of emerging AI/ML technologies to drive enterprise value.

Qualifications

• Requires 10+ years in software engineering with at least 5+ years in cloud architecture/solution architecture.
• Expertise in cloud-native app development on major clouds (GCP/AWS/Azure).
• Strong communication with business stakeholders at multiple levels.

Responsibilities

• Lead scalable, secure cloud-native architectures for enterprise applications.
• Define patterns for microservices, APIs, containers, and serverless workloads.
• Support pre-sales with architecture diagrams, proposals, and RFP responses.

Skills

Cloud architecture

Cloud-native development

Pre-sales support

DevSecOps

Mentorship/leadership

Stakeholder communication

Education

Bachelor’s degree in Computer Science or related field

Tools

Node

Angular

C#

Python

GKE

Cloud Run

Cloud Functions

Kubernetes

ECS

Lambda

Vertex AI

SageMaker

Azure ML

OpenAI

Job description

Nelnet, Inc. is seeking an IT Cloud Software Architect to design scalable, secure cloud-native applications and guide enterprise cloud strategy.

You will align technical direction with business needs, mentor engineers, and engage clients with architecture workshops and proposals. The role blends hands-on cloud development with leadership, governance, and DevOps practices, including ongoing evaluation of emerging AI/ML technologies to drive enterprise value.