Solution Architect (Education domain)

Binariks is looking for a highly proactive Solution Architect to support presale/discovery procedures and lead the architectural transformation of a core enterprise learning platform. The primary focus involves decoupling a legacy monolithic architecture to integrate a new headless Content Learning Management System (CLMS), designing robust data migration pipelines, and supporting the rollout of next-generation AI tutoring agents.

What We’re Looking For

Deep hands-on experience with AWS, Python, React, and MongoDB.

Experience building and maintaining Progressive Web Applications (PWAs).

Proficiency in modern data and analytics stacks, specifically Microsoft Fabric and Power BI.

Expertise in evaluating, selecting, and implementing Headless CLMS platforms.

Deep understanding of legacy e-learning interoperability standards (SCORM) and how to modernize them.

Highly proactive, driven, and analytical mindset with professional pride in proposing and defending robust architectural designs.

Excellent communication abilities to facilitate knowledge transfer from siloed legacy experts and unify distributed internal/vendor teams.

Nice to Have

Bachelor's or Master's degree in Computer Science, Information Systems, Educational Technology, or a related field.

A minimum of 5 years of experience in edtech or a related industry.

A minimum of 7-10 years of experience in software programming.

Proven experience in driving CapEx-oriented vendor relationships and transforming legacy monoliths into API-first architectures.

Your Responsibilities

Design scalable, multi-tenant application architectures utilizing AWS, Python (backend), React (frontend/PWA), and shared-schema MongoDB databases.

Architect the transition from a monolithic legacy content system to a modern headless CLMS, including the design of APIs for seamless data exchange.

Design automated data migration pipelines to extract, transform, and load existing content from legacy databases into the new CLMS, eliminating the need for manual data entry.

Evaluate and resolve technical debt accumulated from the product's evolution (e.g., adapting rigid data models meant for language levels to accommodate flexible soft-skills training).

Seamlessly integrate AI-driven agents and avatars capable of interacting with learners via voice and text to supplement live tutors.

Modernize and maintain complex client integrations leveraging standard legacy packages like SCORM.

Oversee the integration of data engineering and reporting pipelines using MS Fabric and Power BI to generate analytics for both client dashboards and board/investor reporting.

Ensure all solutions are compliant with local, national, and international education and data privacy regulations.

Manage data security within shared-schema multi-tenant environments to ensure strict tenant data isolation.

Proactively collaborate with and drive distributed engineering pods, internal QA, and external vendors, pushing back on inefficient proposals to ensure high-quality architectural outcomes.