JBA International
Responsibilities:
Collaborate with AI research/engineering, software engineering, product, design and business stakeholders to fully understand strategic objectives and user requirements and translate those insights into actionable technical specifications for the JazzX platform. Design, develop, and implement a comprehensive enterprise multi-cloud platform strategy, leveraging cutting-edge cloud, enterprise, AI and machine learning technologies (think microservices, containers, K8s, AI services, LLMs, Foundation models, AI Agent frameworks etc.). Secure, scalable and efficient platform that enables fast innovations and iterations, while simultaneously delivering reliable, robust and cost-effective services for customers. Automate infrastructure provisioning and configuration management using Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible). Implement monitoring, logging, and alerting solutions to ensure platform health and performance. Develop and maintain platform documentation, including architecture diagrams, deployment procedures, and operational guidelines. Stay up to date on the latest cloud and AI technologies and best practices and continuously evaluate and implement improvements to the platform. Mentor and guide junior engineers on platform architecture principles. Qualifications:
Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience). Minimum 12+ years of experience in enterprise platform architecture and design, preferably with experience building AI/ML/data systems and platforms. Proven experience in building and deploying cloud-based solutions on platforms like AWS, Azure, or GCP. Deep understanding of container technologies. In-depth knowledge of enterprise cloud security principles and best practices. Solid understanding of enterprise integration patterns and APIs. Experience with DevOps methodologies and infrastructure as code (IaC) tools. Experience with AI/ML/data technologies and their integration into enterprise platforms. Excellent problem-solving, analytical, and communication skills. Ability to work independently and as part of a cross-functional team. Collaborative, fast-paced, productive, with a growth mindset to learn and share with the team.
Collaborate with AI research/engineering, software engineering, product, design and business stakeholders to fully understand strategic objectives and user requirements and translate those insights into actionable technical specifications for the JazzX platform. Design, develop, and implement a comprehensive enterprise multi-cloud platform strategy, leveraging cutting-edge cloud, enterprise, AI and machine learning technologies (think microservices, containers, K8s, AI services, LLMs, Foundation models, AI Agent frameworks etc.). Secure, scalable and efficient platform that enables fast innovations and iterations, while simultaneously delivering reliable, robust and cost-effective services for customers. Automate infrastructure provisioning and configuration management using Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible). Implement monitoring, logging, and alerting solutions to ensure platform health and performance. Develop and maintain platform documentation, including architecture diagrams, deployment procedures, and operational guidelines. Stay up to date on the latest cloud and AI technologies and best practices and continuously evaluate and implement improvements to the platform. Mentor and guide junior engineers on platform architecture principles. Qualifications:
Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience). Minimum 12+ years of experience in enterprise platform architecture and design, preferably with experience building AI/ML/data systems and platforms. Proven experience in building and deploying cloud-based solutions on platforms like AWS, Azure, or GCP. Deep understanding of container technologies. In-depth knowledge of enterprise cloud security principles and best practices. Solid understanding of enterprise integration patterns and APIs. Experience with DevOps methodologies and infrastructure as code (IaC) tools. Experience with AI/ML/data technologies and their integration into enterprise platforms. Excellent problem-solving, analytical, and communication skills. Ability to work independently and as part of a cross-functional team. Collaborative, fast-paced, productive, with a growth mindset to learn and share with the team.