Remote Senior AI Cloud Engineer

Job Description Who You Are • A degree (or equivalent experience) in Computer Science, Engineering, Mathematics, Physics, Statistics, or a related field. • 3+ years of experience in cloud infrastructure , middleware engineering , or DevOps roles. • Strong hands-on experience with Oracle Middleware (WebLogic, ODI, OTD). • Skilled in OCI , OKE , Terraform , Ansible , and Python for automation and orchestration. • Excellent troubleshooting and root cause analysis skills for complex distributed systems. • Familiar with AI/ML concepts and their application in system automation or observability. • Knowledge of Oracle Fusion Applications (SaaS) architecture and integration points. Preferred Qualifications • Experience integrating AI/ML models or AI services into enterprise operational workflows. • Familiarity with OCI AI Services , Data Science , or similar cloud AI offerings. • Experience with observability tools (Prometheus, Grafana, ELK/EFK, OCI Monitoring). • Understanding of networking , cloud security , and DevOps/MLOps principles. • Strong analytical, problem-solving, and collaboration skills. Responsibilities Build and contribute to AI-Powered Applications • Help design and develop features in AI-driven applications, primarily using Python or similar languages. • Collaborate with cross-functional teams to deliver scalable and reliable solutions. Cloud Infrastructure & Middleware Engineering • Design, deploy, and manage solutions using Oracle Middleware products - WebLogic, ODI, and OTD . • Deploy and troubleshoot containerized applications on Oracle Kubernetes Engine (OKE) . • Design and implement architectures using OCI Services such as Load Balancer (LBaaS) , API Gateway , OCI Streams , and IDCS . • Manage OCI networking , ensuring secure, scalable, and high-performance configurations. • Perform advanced troubleshooting and root cause analysis for complex cloud and middleware issues. Automation & Infrastructure as Code • Build and maintain Ansible and Terraform automation for environment provisioning and configuration management. • Develop Python-based automation scripts to streamline deployments, monitoring, and incident response. • Create intelligent automation workflows that leverage AI insights to reduce manual interventions and improve operational efficiency. AI-Powered Operations & Integration • Integrate AI/ML capabilities into cloud operations - including anomaly detection, predictive monitoring, and automated remediation. • Collaborate with data and AI teams to deploy lightweight models or AI services that enhance system reliability and decision-making. • Utilize OCI AI Services , OCI Data Science , or equivalent tools for operational intelligence and optimization use cases. Learn and Grow in MLOps & LLMs • Get hands-on experience with tools and practices in MLOps: model deployment, monitoring, and versioning. • Explore foundational concepts in large language models (LLMs), including prompting techniques and task automation. • Learn to implement basic agentic workflows using tools like LangGraph or similar frameworks. Monitoring and Observability • Design and implement AI-driven observability frameworks combining traditional metrics with intelligent insights. • Leverage machine learning models for anomaly detection , predictive alerting , and log/event correlation across systems. • Use OCI AI Services , OCI Data Science , or similar platforms to develop and deploy models that automatically identify performance degradation, error spikes, and capacity risks. • Integrate Prometheus , Grafana , ELK/EFK , and OCI Monitoring with AI analytics pipelines for real-time insights and trend prediction. • Implement self-healing mechanisms that use AI recommendations to trigger automated corrective actions. Understand Responsible AI • Develop awareness of AI ethics, privacy, fairness, and secure coding practices in real-world AI development. Why Join Us? • Start your AI career with real impact — your code and ideas will contribute to solutions used by businesses worldwide. • Learn from experts — work closely with experienced engineers, data scientists, and product teams. • Grow your skills — we’ll support your development in AI/ML, MLOps, cloud technologies, and more. • Work on diverse projects — from conversational interfaces to enterprise-scale integrations. • Be yourself — we value diversity, inclusion, and creating a safe space for all team members to grow and thrive. Career Level - IC4 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing [email protected] or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. 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