Solutions Architect

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.
• Conduct COMPASS or similar assessments of the existing SDLC and pilot AI-driven SDLC improvements across engineering teams.

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