AWS Engineer

Santcore is looking for a resource to help client in the early stages of a major initiative to migrate from our legacy LMS (Saba Cornerstone → Docebo) to a new platform. We are hiring a Application Engineer who will lead technical efforts across integrations, backend development, automation testing, and future AI-driven enhancements. The ideal candidate is a Java + AWS engineer first, with AI agent engineering as a top priority "plus", and LMS experience as a nice-to-have. Python scripting will be increasingly important as AI and automation capabilities expand. You will join a small team (1 developer, 1 analyst, 1 product manager) and play a key leadership role as the platform evolves. Top Priorities (in order of importance) • AI Engineering (Preferred Over LMS Experience) This is not a data scientist role. We are looking specifically for: • Experience building AI agents, not statistical modeling • Hands-on implementation using agent frameworks or orchestration layers • Python scripting for automation, workflows, and agent behavior • Ability to leverage new LMS capabilities to build AI-driven features in later phases • Core Backend Engineering • Strong Java development (8–12+ years ideal) • Solid AWS engineering (Lambda, API Gateway, CloudWatch, S3, etc.) • REST API development and systems integration • Ownership of end-to-end technical design and delivery • Automation Testing / SDLC 2.0 As part of the org-wide shift to SDLC 2.0, this role must: • Contribute to automation test creation • Execute and enhance existing automated test suites • Support testing for integrations and platform changes • Ensure high-quality code delivery across all environments • LMS Experience (Nice-to-Have) Priority Is Lower Than AI. Useful But Not Mandatory • Experience with Saba / Cornerstone, Workday integrations, configuration-based LMS workflows • Understanding of user journeys, content models, and learning platform architecture Key Responsibilities • Lead backend development for LMS migration and ongoing enhancements • Build and maintain integrations (especially Workday) • Develop AI agents in later project phases • Create Python-based automation scripts and workflow tooling • Support automation testing under SDLC 2.0 • Work with configuration-driven LMS features • Mentor junior team members and guide technical decisions • Adapt to evolving requirements as the platform matures Required Skills • Strong Java engineering background • Hands-on AWS experience • Python scripting (for AI + automation) • Experience integrating enterprise systems • Familiarity with automated testing frameworks • Strong communication and leadership skills • Ability to operate independently in a small team Preferred Skills • Experience with AI agent frameworks • Prior work with LMS platforms (Saba / Cornerstone / Workday Learning) • Configuration experience within learning systems • Workday integration experience • Exposure to modernization or migration projects