Senior Service Solution Architect, CSS Global Cloud Solutions

Oracle Cloud Architect

This person will play a crucial role in developing service innovation, optimizing processes, and delivering insights that empower the organization to make informed, data-driven decisions. They are passionate about cloud enterprise architecture and are collaborative and driven to apply their technical skills to real-world applications. This role will contribute to portfolio management and business development of Oracle Customer Success Services offerings for our customers that feature the latest Oracle technologies and capabilities. The architect will ensure that all deployments adhere to security, compliance, and cost optimization best practices for each hyperscaler.

Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Engineering or related field required; Ph.D. preferred. Multiple cloud certifications such as Oracle Certifications: OCI Associate Architect, OCI Architect Professional; AWS Certifications: AWS Solutions Architect, AWS Security Specialist, Microsoft Certifications: Azure Security Engineer, Associate, Azure Solutions Architect, Google Certifications: GCP Cloud Architect Certification. Certification as TOGAF and/or Zachman Enterprise Architect preferred.

Experience: 15+ years in IT services, including significant direct experience in customer facing and service management. Proficient with cloud platforms (OCI, GCP, Azure, AWS) and environments on-Premise for Enterprise application operations. Hands-on experience architecting, deploying, and managing enterprise workloads and data migrations on at least two major hyperscaler platforms (AWS, Azure, GCP). Familiarity with natural language processing (NLP), computer vision, and deep learning. Prior experience deploying and maintaining AI models in production environments. Commercial constructs and contract management, including construction of TCO analyses and pricing for complex service offers. Large scale IT project and program management, including major transformation, migration, and solution deployment projects. Strong analytical and problem-solving abilities to translate business problems into technical requirements. Excellent written and verbal communication capability to convey complex concepts to both technical and non-technical audiences.

Skills: Deep expertise with infrastructure-as-code and automation for hyperscalers (CloudFormation for AWS, ARM/Bicep for Azure, Deployment Manager for GCP, and cloud-agnostic tools like Ansible or Terraform). Familiarity with hyperscaler-native monitoring/logging tools: OCI OEM and O&M, AWS CloudWatch, Azure Monitor, GCP Operations Suite and cloud agnostic tools like Prometheus, Grafana or Kibana. Proficiency in handling large datasets, data structures and algorithms for machine learning workflows. Language fluency in Python, R, SQL, Java, Langchain. Understanding of ethical AI and responsible AI practices.

Responsibilities: Design, develop, and implement data layer architectures, Oracle applications, and AI systems to solve specific business problems and improve workflows. Architect scalable, secure, and automated solutions targeting multicloud and hybrid-cloud environments, ensuring interoperability among Oracle Cloud, AWS, Azure, and GCP ecosystems. Build repeatable offerings for global customers with mission-critical estates in multicloud enterprise environments. Lead the end-to-end deployment of modern applications and workloads using CI/CD and DevOps methodologies, utilizing industry-standard tools and native pipelines available in AWS (CodePipeline), Azure DevOps, and GCP Cloud Build. Ensure robust multi-cloud security by implementing Identity and Access Management, network segmentation, encryption, key management, and compliance mapping specific to each hyperscaler. Design and implement cost-effective architecture, recommending and applying tools and best practices for budgeting, monitoring, and optimizing cloud spend across hyperscalers. Collect, preprocess, and analyze large datasets to support data pipelines. Work closely with cross-functional teams, including architects, developers, software engineers, and business stakeholders, to define project goals and deliver AI solutions that meet organizational needs. Document model design, methodologies, and results. Deploy services in prototypes, pilots, and production environments and continuously monitor with native monitoring and logging tools for proactive incident detection and response.

Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only.