Ll Oefentherapie
Senior Service Solution Architect, CSS Global Cloud Solutions
Ll Oefentherapie, Denver, Colorado, United States, 80285
Mission
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 is 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
Automation Tools:
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)
Monitoring:
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
Networking Elements:
subnets, route tables, gateways, DNS, load balancers, firewalls, VPNs
Cloud Networking:
VPCs, VCNs, WAN connectivity, Fastconnect (OCI), ExpressRoute (Azure), Direct Connect (AWS), Cloud Interconnect (GCP)
Hybrid Security:
OCI Vault (Oracle), Key Vault (Azure), KMS (AWS/GCP), and cross‑cloud identity (OCI IAM, Azure AD, AWS IAM, Google Workspaces)
Resilience:
Ability to analyze and optimize cloud resource allocation, selection of instance types, and storage tiers to balance performance, HA, Business Continuity, and cost in hyperscaler environments
Structured Data : Oracle Database, NoSQL, MySQL, and other databases
Data Processing : Thorough grasp of Spark, Kafka, Hadoop, MapReduce
Data Design : Proficient in handling large datasets, data structures and algorithms for machine learning workflows
Analytics : Comprehensive predictive, diagnostic and prescriptive analytics skills and usage of relevant tools
Development Tools : Language fluency in Python, R, SQL, Java, Langchain
AI/ML Frameworks : TensorFlow, PyTorch, and GenAI Frameworks like Autogen
Data Science : MLOps practices requiring projects, model deployments, data science SDKs, Jupyterlab notebooks
AI Governance : Understanding of ethical AI and responsible AI practices
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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
Automation Tools:
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)
Monitoring:
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
Networking Elements:
subnets, route tables, gateways, DNS, load balancers, firewalls, VPNs
Cloud Networking:
VPCs, VCNs, WAN connectivity, Fastconnect (OCI), ExpressRoute (Azure), Direct Connect (AWS), Cloud Interconnect (GCP)
Hybrid Security:
OCI Vault (Oracle), Key Vault (Azure), KMS (AWS/GCP), and cross‑cloud identity (OCI IAM, Azure AD, AWS IAM, Google Workspaces)
Resilience:
Ability to analyze and optimize cloud resource allocation, selection of instance types, and storage tiers to balance performance, HA, Business Continuity, and cost in hyperscaler environments
Structured Data : Oracle Database, NoSQL, MySQL, and other databases
Data Processing : Thorough grasp of Spark, Kafka, Hadoop, MapReduce
Data Design : Proficient in handling large datasets, data structures and algorithms for machine learning workflows
Analytics : Comprehensive predictive, diagnostic and prescriptive analytics skills and usage of relevant tools
Development Tools : Language fluency in Python, R, SQL, Java, Langchain
AI/ML Frameworks : TensorFlow, PyTorch, and GenAI Frameworks like Autogen
Data Science : MLOps practices requiring projects, model deployments, data science SDKs, Jupyterlab notebooks
AI Governance : Understanding of ethical AI and responsible AI practices
#J-18808-Ljbffr