Confidential Companyعمان - الأردنتاريخ النشر:2026/01/08 سجلي الدخول للتقدم
Responsibilities
Define and maintain the technical strategy, system architecture, and engineering roadmap in alignment with the global product roadmap.
Design and oversee scalable, multi-tenant, API-first, and event-driven platforms, while standardizing shared services and reusable components.
Build, lead, and develop high-performing engineering teams by setting hiring standards, defining career paths, and promoting a culture of ownership, documentation, and quality.
Ensure platform reliability and code quality through strong observability practices, automated testing, CI/CD pipelines, and leadership during incidents and root cause analyses.
Enforce security and compliance standards, including privacy-by-design principles, role-based access control, encryption, and secure software development lifecycle practices.
Manage engineering budgets effectively, optimizing cost, performance, capacity planning, and system resilience.
Enhance developer experience and productivity through improved tooling, documentation, AI-assisted development, and performance metrics.
Govern the use of AI and LLM tools across engineering workflows, including coding, reviews, testing, and documentation, while measuring impact and effectiveness.
Establish and execute robust delivery frameworks, including design reviews, launch readiness checklists, architecture documentation, and post-launch reviews with documented outcomes and postmortems.
Qualifications
Master’s degree in Computer Science, Information Systems, or a related field.
10+ years of experience in SaaS, fintech, e-commerce, or large-scale digital platforms, including at least 2 years in a senior engineering management role.
Native-level proficiency in Arabic and English, with strong executive-level written and verbal communication skills.
Proven experience designing and operating large-scale architectures, including microservices, APIs, SDKs, streaming systems, and strong tenant isolation models.
Deep expertise in site reliability engineering and security practices, including SLOs, error budgets, observability, and secure SDLC methodologies.
Strong knowledge of cloud platforms and tooling, including AWS, Azure, or GCP, containerization and orchestration technologies, infrastructure as code, and modern CI/CD pipelines.
Demonstrated delivery discipline through structured documentation, outcome-driven roadmaps, and regular technical and business reviews.
Proven experience in building and scaling engineering teams, including hiring, performance management, and succession planning.
Strong fluency in AI and LLM technologies, with experience governing their use to improve productivity and quality at scale.
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