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Job role- Senior Solution Architect Location - Brussels, Belgium Experience level- 16-20 Yrs Job Description- Architect and design robust, cloud - native microservices solutions tailored to business needs and objectives. Define, document, and enforce best practices in microservices development, deployment, and lifecycle management. Collaborate closely with cross-functional engineering teams to ensure seamless integration, interoperability, and scalability of services. Lead multi-cloud and multi-geo deployment strategies, optimizing for performance, resilience, and cost. Implement comprehensive security measures and ensure compliance with industry standards across all microservices. Oversee the reliability, performance, and disaster recovery capabilities of deployed services. Provide technical leadership and mentorship to engineering teams, fostering a culture of innovation and technical excellence. Evaluate emerging technologies, frameworks, and tools to continuously improve architectural standards and delivery efficiency. Skill Requirement Bachelor / master’s degree in computer science, information technology, Engineering, or a related field. Extensive hands-on experience in designing, building, and scaling cloud-based microservices architectures. Deep understanding of microservices design patterns, integration approaches, and security best practices. Proven expertise in large-scale distributed systems, disaster recovery planning, and high availability architectures. Strong proficiency with google cloud platform (GCP) and ability to define scalable architectural specifications. Familiarity with AI cloud and experience in multi-cloud environments. Track record of successful multi-geo deployments and troubleshooting complex distributed systems. Product engineering mindset with a focus on delivering business value through technology. Exceptional communication, collaboration, and leadership skills. Other Requirements (Optional) Professional certifications in cloud technologies (e.g., GCP Architect, AWS Solution Architect, etc.) are highly desirable. Professional certifications in AI Technologies are recommended. Experience with container orchestration tools such as Kubernetes or Docker Swam. Familiarity with CI/CD pipelines and DevOps practices. Prior experience working with global, cross- functional teams. For more information on how we process your personal data, please refer to HCLTech’s
