Senior Full Stack Engineer (Part-Time, Unpaid)

Company and product

Engineering responsibilities

• Build React and TypeScript customer journeys for property entry, onboarding, accounts, report requests, viewing, and sharing; enforce authorization and entitlements server-side.
• Develop Python services and secure REST APIs for authentication, reports, subscriptions, payments, administration, and PDF delivery; maintain API contracts and traceability.
• Integrate property data and analytics with Python, SQL, PostgreSQL, and where appropriate DuckDB; improve ETL/ELT, validation, quality controls, provenance, and reproducibility.
• Implement evidence-controlled reporting, comparable selection, exclusions, confidence rules, and handling of insufficient evidence; distinguish ready and off-plan evidence.
• Integrate AI workflows using model APIs, structured outputs, prompt management, evaluation, guardrails, observability, and cost controls; use RAG, embeddings, or agents when useful.
• Design reliable asynchronous processing, retries, idempotency, and failure handling to prevent duplicate reports or payments.
• Provide secure report access, authorized PDF downloads, and controlled, revocable or expiring sharing links.
• Deploy and operate services on Azure; maintain environment separation, secrets, least privilege, CI/CD, backups, recovery, logging, metrics, alerts, and tracing.
• Write automated tests, diagnose production issues, identify root causes, and deliver lasting fixes.

Required experience and qualifications

• Demonstrated personal ownership of substantial features built, shipped, and supported in a live product; productionizing a prototype or existing codebase is relevant.
• Strong React, TypeScript, and modern web application experience; strong Python and REST API experience, or substantial backend experience with willingness to use Python extensively.
• Strong SQL and relational database experience, with practical data processing, validation, or analytical integration experience.
• Hands-on Azure production deployment and operations experience, plus Docker, Git, and CI/CD.
• Practical AI integration experience or demonstrated ability to implement and evaluate AI integrations in production.
• Security and quality experience including authorization, RBAC, API security, OAuth/OIDC, rate limiting, encryption, secrets management, automated testing, monitoring, and incident resolution.
• Able to implement an agreed architecture across application, cloud, and data layers, surface unclear decisions, and deliver tested work during consistent part-time hours.
• The employer primarily seeks eight or more years of professional engineering experience or equivalent evidence of strong production ownership.
• PostgreSQL, Azure Container Apps, Azure Key Vault, DuckDB, payments, subscriptions, asynchronous processing, RAG, and property or financial data experience are valuable.
• A Computer Science, Engineering, or related degree is preferred; equivalent production engineering experience is considered.

Language

• Professional working English is required for engineering discussions, documentation, and collaboration. Arabic is a plus, not a requirement.

Compensation and employment

• This is a part-time, unpaid pre-launch opportunity with no current salary or stipend.
• A future paid full-time role, salary, and start date are not guaranteed.
• Weekly availability, initial deliverables, and a review date will be agreed in writing before work begins.

Location and availability

• The position is fully remote; applicants must be based in Dubai or India.
• Candidates must be available for regular overlap with Dubai business hours and state the hours they can reliably contribute.