Senior Software Architect – AI-Driven EdTech Platforms

Accelerate Learning Inc.; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

Accelerate Learning seeks a Software Architect to own end-to-end architecture for core curriculum and supplemental platforms. You will balance performance, reliability, and security with product needs, contributing hands-on alongside engineering teams.

Collaborating with Product, Curriculum, and Engineering, you’ll drive cloud-native patterns on AWS, Kubernetes, and AI-enabled features, champion non-functional requirements, and mentor engineers toward engineering excellence.

Qualifications

• 7+ years of software engineering with architectural leadership.
• Proven track record delivering cloud-native SaaS architectures.
• Strong experience with Kubernetes and AWS at scale.
• Experience defining non-functional requirements and SLAs.
• Hands-on delivery in production systems and modern tooling.
• Experience with AI-driven features and OpenAI/anthropic integrations.

Responsibilities

• Serve as architectural authority for core curriculum and supplementary platforms.
• Own end-to-end production health, performance, and security outcomes.
• Balance modernization with business continuity and customer impact.
• Lead architectural decisions, reviews, and migrations with minimal disruption.
• Partner with Product, Engineering, and QA to align on roadmap and quality.
• Define observability standards and drive incident response readiness.
• Mentor engineers and champion engineering excellence across teams.

Skills

Kubernetes

AWS

Distributed systems

API design

CI/CD

AI/ML integration

Leadership

Security

OAuth/OpenID

OpenAI integration

Education

Bachelor's in Computer Science

Master's degree preferred

Tools

Terraform

CDK

Pulumi

CI/CD tooling

Job description

Accelerate Learning seeks a Software Architect to own end-to-end architecture for core curriculum and supplemental platforms. You will balance performance, reliability, and security with product needs, contributing hands-on alongside engineering teams.

Collaborating with Product, Curriculum, and Engineering, you’ll drive cloud-native patterns on AWS, Kubernetes, and AI-enabled features, champion non-functional requirements, and mentor engineers toward engineering excellence.