Senior Software Architect / Technical Lead

About the role

Revun is seeking a highly experienced Senior Software Architect / Technical Lead to take technical ownership of its property‑operations platform, lead the engineering team, and prepare the product for a stable commercial launch.

Key responsibilities

• Conduct a comprehensive assessment of the existing frontend, backend, databases, APIs, integrations, AI workflows, infrastructure, security, and deployment processes.
• Identify technical debt, architectural weaknesses, scalability risks, and launch blockers, and define what should be retained, refactored, replaced, or rebuilt.
• Provide technical direction to remote frontend, backend, integration, AI/automation, DevOps, and QA engineers.
• Review code, challenge weak engineering decisions, ensure adherence to architectural standards, and resolve technical blockers.
• Strengthen platform architecture across APIs, authentication, RBAC, audit logging, workflow automation, and system integrations.
• Evaluate financial‑system reliability, AI/LLM functionality, and integration robustness.
• Establish and enforce engineering standards for code reviews, testing, CI/CD, monitoring, incident response, and production releases.

Required profile

• Bachelor’s degree in Computer Science or related field.
• 12+ years of professional software engineering experience, including 4+ years in senior technical leadership or architecture roles.
• Proven experience architecting and leading complex SaaS applications, especially in CRM, workflow automation, fintech/payments, or PropTech domains.
• Strong ability to evaluate existing platforms and make evidence‑based decisions on refactoring or rebuilding.
• Excellent English communication skills and ability to convey technical risks and recommendations to non‑technical leadership.

Required skills

• Backend architecture: databases, APIs, distributed systems, authentication, authorization, RBAC, security, scalability.
• Frontend architecture evaluation and code quality assessment.
• Cloud infrastructure, CI/CD pipelines, observability, production deployments, QA processes, incident management.
• API design, webhooks, asynchronous processing, queues, retries, logging, monitoring, rate‑limit handling, idempotency.
• AI/LLM integration, monitoring, privacy, hallucination risk mitigation, cost management.
• Technical audit, risk assessment, and launch readiness planning.