Requirements:
· Experience in software integration, API development, or automation engineering.
· Experience working with SIS, LMS, and education technology platforms.
· Strong proficiency in API development, automation workflows, and event-driven architectures.
· Knowledge of cloud-native integration tools in AWS, Google Cloud Platform, or Azure.
· Excellent problem-solving skills and an automation-first mindset.
· Strong ability to collaborate with AI, cloud, and data engineering teams to create scalable AI-driven solutions.
· Familiarity with LLMs and AI-powered automation is a plus.
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Responsibilities:
- Design and implement integrations between AI models and school systems (SIS, LMS, student data platforms, and assessment tools).
· Work with common SIS & LMS platforms such as PowerSchool, Infinite Campus, Blackbaud, Canvas, Moodle, Google Classroom, and Microsoft Teams for Education.
· Develop middleware, APIs, and automation scripts to enable AI-enhanced workflows for grading, student engagement analysis, and predictive insights.
· Build, deploy, and manage RESTful APIs, GraphQL APIs, and Webhooks to enable seamless communication between AI and school infrastructure.
· Automate data extraction, transformation, and synchronization between systems using ETL pipelines and API-driven workflows.
· Develop integrations with LLM-based AI assistants, chatbots, and recommendation engines to enhance learning experiences.
· Leverage low-code and no-code automation tools where applicable for rapid deployment of solutions.
· Ensure real-time data flow between AI tools and student management systems using Pub/Sub, Kafka, or event-driven architectures.
· Implement secure authentication and authorization protocols (OAuth 2.0, SAML, JWT) to protect student and faculty data.
· Ensure compliance with FERPA and other education data privacy regulations.
· Work with identity and access management (IAM) solutions to control AI system permissions.
· Work closely with AI teams, data engineers, and DevOps to deploy integrations in AWS and Google Cloud Platform.
· Develop serverless functions (AWS Lambda, Google Cloud Functions, Azure Functions) for lightweight, scalable automation.
· Implement event-driven architectures using Step Functions, Pub/Sub, and Webhooks.
· Collaborate with educators and administrators to define integration requirements and automation opportunities.
Technical Stack & Tools
Integration & API Development:
· RESTful APIs, GraphQL, gRPC
· OAuth 2.0, JWT, SAML, OpenID Connect
· Postman, Swagger (OpenAPI), API Gateway
Cloud & Infrastructure:
· AWS (Lambda, Step Functions, API Gateway, EventBridge, S3, DynamoDB)
· Google Cloud Platform (Cloud Functions, Pub/Sub, Firestore, BigQuery)
· Azure (Azure Functions, Event Grid, Cosmos DB)
Automation & Data Pipelines:
· Python, Node.js, FastAPI, Flask, Express.js
· ETL tools (Talend, dbt)
· Messaging & Streaming: Kafka, RabbitMQ, Redis Pub/Sub
Security & Compliance:
· IAM & Role-Based Access Control (RBAC)
· Data encryption, secure API access
· Compliance with FERPA