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A leading technology company is seeking a Senior Cloud Engineer to design and deploy cloud-native applications on Oracle Cloud Infrastructure. The role involves collaborating with diverse teams, integrating AI models, and mentoring junior engineers while optimizing resource usage for cost and performance. Ideal candidates have substantial experience in Java and cloud technologies.
As a Senior Cloud Engineer, you will: • Design, develop, and deploy cloud-native applications and services using Java and modern AI-assisted development tools. • Lead the creation of scalable, secure, and performant solutions on Oracle Cloud Infrastructure (OCI). • Collaborate with cross-functional teams including architects, product managers, and customer stakeholders to define technical solutions aligned with business goals. • Integrate AI models and APIs into enterprise cloud applications, enhancing automation, decision-making, and user experiences. • Conduct code reviews, provide technical leadership, and mentor junior engineers. • Support cloud migration projects, including re-platforming and re-architecting legacy workloads to OCI. • Optimize cloud resource usage, focusing on performance, cost-efficiency, and operational excellence. • Participate in customer workshops, technical deep dives, and proof-of-concept (PoC) initiatives. • Stay updated on emerging technologies in Java, AI, and Cloud Engineering, contributing to internal knowledge sharing. Qualifications
Career Level - IC3
Responsibilities Required Qualifications • 5+ years of hands-on software development experience with Java (Java SE or EE). • Strong understanding of object-oriented design patterns and best practices. • Experience with AI-assisted development tools (such as GitHub Copilot, Oracle Code Assist, or equivalent LLM-based coding platforms). • Solid experience with cloud computing platforms, preferably Oracle Cloud Infrastructure (OCI), AWS, Azure, or GCP. • Familiarity with DevOps tools and CI/CD pipelines (Jenkins, GitLab, Terraform, etc.). • Working knowledge of containerization technologies (Docker, Kubernetes). • Excellent problem-solving skills and ability to work in a fast-paced, agile environment. • Strong written and verbal communication skills in English. Preferred Qualifications • Hands-on experience deploying AI/ML models in production environments. • Knowledge of microservices architecture and distributed systems. • Experience with Oracle Cloud services such as Oracle Container Engine for Kubernetes (OKE), Oracle Functions, and Oracle AI Services. • Familiarity with REST APIs, GraphQL, or gRPC. • Oracle Cloud Infrastructure certifications (Associate or Professional level) are a plus.