Senior Full-Stack Engineer

Our client is looking for hiring a dedicated Senior Full-Stack Developer who owns of the liveliness of their Enterprise platform. Keeps current platform stable, secure, and improvable; absorbs customer enhancements; and serves as the living domain expert on current architecture and business logic while the new version is built. The Platforms Lead's primary informant, preventing the new platform from rebuilding a thinner copy. Also the engineering custodian of the transition: backward compatibility, data migration design, and customer-by-customer cutovers.

What You Own:

• Full engineering accountability for current platform: codebase, builds, deployments, integrations, support backlog, customer enhancements.
• Bring the codebase under disciplined ownership: conventions, branch/review discipline, change-management, release cadence, security hygiene, and monitoring.
• Customer enhancement pipeline: scope, estimate, design, deliver. Hold configuration discipline over custom forks.
• Backstop customer implementations when CS/App Support hit hard technical problems.
• Sev1 production incident response as the named engineering responder.
• Living current-platform atlas: architecture, modules, data model, integration points, embedded business rules — used daily by the new-platform team.
• Pair with the new-platform team on design. Surface where new design collides with existing customer reality.
• Data migration design: schema mapping, migration tooling, dry-run strategy, validation, rollback.
• Customer-by-customer cutovers: engineering reality of moving real customers to the new platform.

What You Bring:

• 5+ years backend-led software engineering, 3+ on enterprise applications deployed on-premises.
• Strong Node.js production experience at enterprise scale.
• Microservices architecture in production — service boundaries, inter-service contracts, operational complexity.
• RabbitMQ (or equivalent message broker) in production: exchanges, routing, durability, dead-letter, consumer back-pressure.
• MongoDB in production: schema design, indexing, aggregation pipelines, performance tuning.
• MS SQL Server in production: schema design, query performance, stored-procedure awareness.
• Redis in production: caching patterns, pub/sub, session storage, distributed locks.
• Enterprise on-premises deployment reality (ministry, regulated-industry, large-corporate).
• Inheriting and improving long-lived codebases — has brought structure to messy code without breaking production.
• Performance and reliability troubleshooting end-to-end.
• Customer-facing composure under escalation.
• AI-engineering daily usage (Copilot, Claude Code, Cursor). Tested live in Stage 3.
• Configurable-product instinct — has refused a per-customer code branch.
• Arabic–English bilingual at professional level.

Nice-to-Have:

• Correspondence management, ECM, BPM, workflow automation, or government IT background.
• Data migration projects on long-lived enterprise platforms.
• Angular and/or React frontend familiarity.
• PostgreSQL exposure.
• Security certification or formal training.