Florida Staffing
Senior Principal Software Developer
At Oracle Cloud Infrastructure (OCI), we are shaping the future of enterprise cloud with a diverse team of innovators committed to excellence. Blending the agility of a start-up with the global reach of the world's leading enterprise software company, we empower our teams to create breakthrough solutions and deliver value to our customers. Our team (OCI Horizon Data Science & Analytics team) is mainly focused on developing advanced analytics, machine learning, and generative AI-powered solutions and applications that provide actionable insights and drive impactful decision making across OCI, including finance, products, operations, support, and more. We are seeking a highly experienced and passionate Senior Principal Software Developer with a strong background in backend development, machine learning, and AI/GenAI, to play a leading role in the design, development, and deployment of next-generation AI-driven analytics solutions. In this key role, you will collaborate with cross-functional teams, architect and implement robust backend systems, and help bring innovative GenAI analytics capabilities to Oracle Cloud customers. Your expertise will ensure the security, scalability, and performance of our systems, driving forward OCI's mission to deliver intelligent cloud experiences. Basic Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. Minimum 10 years of hands-on software engineering experience, including direct responsibility for designing, building, and operating large-scale backend and infrastructure systems. Extensive coding expertise in Python and Java, with a proven track record of delivering production-quality solutions. Deep hands-on expertise with a major cloud platform (Oracle Cloud Infrastructure preferred), and proficiency with containerization technologies (Docker, Kubernetes). Demonstrated experience architecting, implementing, and operating secure, scalable, and highly available cloud-based infrastructures (Oracle Cloud Infrastructure preferred). Direct, practical experience deploying and optimizing CI/CD pipelines, automation tools, and infrastructure as code (e.g., Terraform, Ansible). Deep understanding of DevOps/ML Ops practices, including hands-on involvement in building, deploying, and managing analytics/ML models in production. Proven ability to design, evolve, and maintain RESTful APIs (OpenAPI/Swagger). Advanced knowledge of SQL (schema design, query optimization) and NoSQL fundamentals (e.g., Redis). Proven ability to drill into code, resolve complex technical challenges, and actively contribute to problem resolution in high-impact projects. Strong communication and collaboration skills, with the ability to mentor others while remaining involved in implementation activities Responsibilities
Architect, design, and hands-on develop secure, scalable, and highly available infrastructure for cutting-edge AI-driven analytics solutions on Oracle Cloud Infrastructure. Lead and directly contribute to the end-to-end implementation and deployment of complex analytics and ML pipelines, ensuring robust performance, high reliability, and minimal downtime across multi-region environments. Champion and execute automation initiatives, building advanced CI/CD pipelines and comprehensive lifecycle policy enforcement to streamline development and operations. Set, enact, and maintain high standards for infrastructure security, compliance, and operational excellence at scale. Collaborate closely with engineering, data science, and business teamstranslating strategic goals into innovative, production-grade solutions and actively addressing operational issues. Mentor and guide engineers while remaining actively engaged in coding, architecture reviews, and technical problem-solving.
At Oracle Cloud Infrastructure (OCI), we are shaping the future of enterprise cloud with a diverse team of innovators committed to excellence. Blending the agility of a start-up with the global reach of the world's leading enterprise software company, we empower our teams to create breakthrough solutions and deliver value to our customers. Our team (OCI Horizon Data Science & Analytics team) is mainly focused on developing advanced analytics, machine learning, and generative AI-powered solutions and applications that provide actionable insights and drive impactful decision making across OCI, including finance, products, operations, support, and more. We are seeking a highly experienced and passionate Senior Principal Software Developer with a strong background in backend development, machine learning, and AI/GenAI, to play a leading role in the design, development, and deployment of next-generation AI-driven analytics solutions. In this key role, you will collaborate with cross-functional teams, architect and implement robust backend systems, and help bring innovative GenAI analytics capabilities to Oracle Cloud customers. Your expertise will ensure the security, scalability, and performance of our systems, driving forward OCI's mission to deliver intelligent cloud experiences. Basic Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. Minimum 10 years of hands-on software engineering experience, including direct responsibility for designing, building, and operating large-scale backend and infrastructure systems. Extensive coding expertise in Python and Java, with a proven track record of delivering production-quality solutions. Deep hands-on expertise with a major cloud platform (Oracle Cloud Infrastructure preferred), and proficiency with containerization technologies (Docker, Kubernetes). Demonstrated experience architecting, implementing, and operating secure, scalable, and highly available cloud-based infrastructures (Oracle Cloud Infrastructure preferred). Direct, practical experience deploying and optimizing CI/CD pipelines, automation tools, and infrastructure as code (e.g., Terraform, Ansible). Deep understanding of DevOps/ML Ops practices, including hands-on involvement in building, deploying, and managing analytics/ML models in production. Proven ability to design, evolve, and maintain RESTful APIs (OpenAPI/Swagger). Advanced knowledge of SQL (schema design, query optimization) and NoSQL fundamentals (e.g., Redis). Proven ability to drill into code, resolve complex technical challenges, and actively contribute to problem resolution in high-impact projects. Strong communication and collaboration skills, with the ability to mentor others while remaining involved in implementation activities Responsibilities
Architect, design, and hands-on develop secure, scalable, and highly available infrastructure for cutting-edge AI-driven analytics solutions on Oracle Cloud Infrastructure. Lead and directly contribute to the end-to-end implementation and deployment of complex analytics and ML pipelines, ensuring robust performance, high reliability, and minimal downtime across multi-region environments. Champion and execute automation initiatives, building advanced CI/CD pipelines and comprehensive lifecycle policy enforcement to streamline development and operations. Set, enact, and maintain high standards for infrastructure security, compliance, and operational excellence at scale. Collaborate closely with engineering, data science, and business teamstranslating strategic goals into innovative, production-grade solutions and actively addressing operational issues. Mentor and guide engineers while remaining actively engaged in coding, architecture reviews, and technical problem-solving.