Cloud Solutions Architect: AI/ML, Pre-Sales, Hybrid

Nelnet, Inc.; Lincoln (NE); Hybrid; USD 140,000 - 170,000; Full time

Benefits offered by this job

Medical, dental, vision

HSA and FSA

401K/student loan repayment

Life insurance & AD&D

Employee stock purchase program

Tuition reimbursement

Wellness program

Job summary

Nelnet, Inc. is seeking an IT Cloud Software Architect to lead scalable, secure cloud-native solutions and provide technical leadership across teams.

The role combines architecture with pre-sales engagement, ensuring performance, security, and cost-effectiveness while driving adoption of AI/ML integrations. You will mentor engineers, define patterns for microservices and APIs, and collaborate with clients to translate business needs into robust cloud designs.

Qualifications

• Bachelor’s degree in CS/SE or related field.
• 10+ years in software engineering; 5+ years in cloud/solution architecture.
• Proficient in Node, Angular, C#, Python.
• Experience designing microservices, APIs, serverless, containers (GKE, Kubernetes, Lambda).
• Familiar with AI/ML services and integrations (Vertex AI, SageMaker, OpenAI).
• Strong client-facing communication across technical and non-technical audiences.

Responsibilities

• Lead design of scalable, secure cloud-native applications.
• Engage with stakeholders to gather requirements and present options.
• Serve as pre-sales technical resource during sales cycles.
• Provide architectural diagrams and proposals.
• Champion DevSecOps and security governance.
• Mentor engineers and promote best practices.

Skills

Cloud architecture

Node.js

Angular

C#

Python

Stakeholder communication

Education

Bachelor’s degree in CS/SE

Tools

GKE

Cloud Run

Kubernetes

Lambda

Vertex AI

SageMaker

Job description

Nelnet, Inc. is seeking an IT Cloud Software Architect to lead scalable, secure cloud-native solutions and provide technical leadership across teams.

The role combines architecture with pre-sales engagement, ensuring performance, security, and cost-effectiveness while driving adoption of AI/ML integrations. You will mentor engineers, define patterns for microservices and APIs, and collaborate with clients to translate business needs into robust cloud designs.