Sr Solution Architect

Overview

Job Title : Sr. Solution Architect

Location : Riyadh, KSA

We are seeking a highly skilled and experienced Solution Architect with Java experience to join our dynamic team in Riyadh. This role is pivotal in designing and implementing robust, scalable, and innovative enterprise solutions, with a particular focus on incorporating AI technologies. The ideal candidate will have a strong foundation in Java technologies, infrastructure, networking, enterprise and product solutions architecture, system architecture down to C4 levels 2 (containers) and 3 (components), and cloud solutions, combined with expertise in AI integration. They will be responsible for designing detailed system architectures using the C4 model, defining infrastructure components, and accurately estimating resource needs such as CPU, GPU, and bandwidth. This role requires expertise in application, data, process, and infrastructure design to deliver scalable, efficient, and integrated solutions aligned with business objectives.

Required Qualifications and Skills

• Education : Bachelor’s degree in Computer Science, Information Technology, or a related field, preferred master’s degree and AI knowledge
• Certifications : Cloud Solution Architect Certifications GCP, AWS, Azure
• Technical Skills : 15+ years of extensive experience and proficiency in software development and enterprise and products solutions architecture and design.
• Extensive experience in Java, Spring, and Spring Boot Frameworks for backend, and Angular and React frameworks for frontend.
• Extensive experience in Kafka, RabbitMQ, Restful Microservices, SOAP, SQL, mysql vs mongodb vs postgresql, Oauth2, JWT ,Spring, Spring Security, Spring Data, Spring Boot Frameworks, docker, kubernetes
• Experience in aligning technology strategies with business objectives.
• Expertise in SDLC processes and methodologies.
• In-depth knowledge of infrastructure and networking architecture.
• Hands-on experience with AWS cloud services, including architecture design and implementation.
• Experience with AI / ML technologies, frameworks, and platforms such as TensorFlow, PyTorch, AWS SageMaker, or Google AI.
• Strong proficiency with C4 architecture modeling, particularly at container and component levels.
• Deep understanding of infrastructure design, including cloud platforms (AWS, Azure, GCP), virtualization, and networking fundamentals.
• Experience in resource estimation and capacity planning for CPUs, GPUs, memory, storage, and network bandwidth.
• Ability to design complex systems across application, data, process, and infrastructure domains.
• Strong analytical and problem-solving skills with a focus on scalable, maintainable, and secure architectures.
• Proven track record of leading and delivering large-scale enterprise solutions.
• Ability to mentor and guide development teams and junior architects.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities, with the ability to work across diverse teams.

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