Confidential Companyعمان - الأردنتاريخ النشر:2026/01/08 سجلي الدخول للتقدم
Responsibilities
Collaborate closely with Product teams to deliver high-quality features aligned with defined scope and product acceptance criteria.
Work with Design teams to create user-centric, high-quality UI and UX experiences.
Design, architect, and implement scalable backend services with ultra-low latency and high availability.
Participate in technical and design reviews, and produce clear architecture documentation, API specifications, and technical documentation.
Establish and maintain automated testing frameworks, CI/CD pipelines, and safe deployment and rollback mechanisms.
Implement observability best practices including metrics, logging, tracing, and definition of SLAs, SLIs, and SLOs.
Apply security-by-design principles, including industry best practices, secure coding standards, and threat modeling.
Design and optimize multi-tenant data models; enhance performance through database tuning, caching, and queue optimization.
Support operational excellence by participating in on-call rotations, conducting postmortems, and reporting findings to engineering leadership.
Mentor and coach peers, contributing reusable components, templates, and best practices to improve team efficiency and quality.
Leverage AI tools responsibly to enhance productivity and accelerate development workflows.
Qualifications
Bachelor’s degree in Computer Science, Information Systems, or a related field.
3+ years of experience in SaaS, fintech, e-commerce, or large-scale digital platforms.
Native-level proficiency in Arabic and English, with excellent written and verbal communication skills.
Strong experience with Node.js microservices, REST and GraphQL APIs, and cloud platforms such as AWS and GCP.
Hands-on experience with SQL and NoSQL databases, caching solutions, event-driven systems, containerization, infrastructure as code, and modern CI/CD pipelines.
Proven experience delivering API-first, scalable SaaS solutions within KPI- and OKR-driven environments.
Demonstrated commitment to governance standards, including data privacy, security, compliance, and auditability.
Exceptional attention to detail, with a track record of delivering reliable, well-documented, and error-free solutions.
Strong familiarity with AI and LLM tools, with awareness of data security and responsible usage.
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