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Oracle · 1 week ago

Master Service Solution Architect

United States

Full-time

Remote

Senior Level, Lead/Staff

$108K/yr - $200K/yr

10+ years exp

Oracle is a world leader in cloud solutions, committed to innovation and inclusivity. The Master Service Solution Architect will develop service innovation, optimize processes, and deliver insights to empower the organization, focusing on architecting and deploying cloud-native and hybrid applications while ensuring compliance and cost optimization best practices.

Data GovernanceData ManagementEnterprise SoftwareInformation TechnologySaaSSoftware

No H1B

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. Incubate services from Oracle and partners in prototypes, demos, and package for delivery-ready implementations. Leverage native services (e.g., AWS Lambda, Azure Functions, GCP Cloud Run) and infrastructure-as-code for automated, cloud-agnostic deployments

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. Conduct regular assessments for adherence to regulatory standards (GDPR, HIPAA, PCI, SOC 2, etc.)

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. This may include data cleaning, transformation, and augmentation. Leverage (and integrate between) managed data services such as AWS RDS, Azure SQL Database, GCP BigQuery, and cloud-native storage, ensuring high availability and disaster recovery

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. Liaise with hyperscaler customer engineering and support organizations as appropriate

Document model design, methodologies, and results. Report findings and progress to technical and non-technical stakeholders. Exercise comportment with extremely strong customer-facing presentation and interaction skills at executive management and C-Level. Develop and maintain architecture blueprints, sales guides, and presales best practices for multicloud operations

Deploy services in prototypes, pilots, and production environments and continuously monitor with native monitoring and logging tools like OCI Cloud Guard, AWS CloudWatch, Azure Monitor, and GCP Operations Suite for proactive incident detection and response

Qualification

AI servicesCloud architectureCloud certificationsData managementDistributed applicationsCloud platformsInfrastructure-as-codeData processingNetworking elementsAI/ML frameworksDevOps toolsAnalytical skillsCommunication skillsCollaborationProblem-solving

Required

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

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

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

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

Proficient in handling large datasets, data structures and algorithms for machine learning workflows

Comprehensive predictive, diagnostic and prescriptive analytics skills and usage of relevant tools

Language fluency in Python, R, SQL, Java, Langchain

Understanding of ethical AI and responsible AI practices

Tooling such as Jenkins, Gitlab, and testing tools such as Selenium, Loadrunner and RUEI

Preferred

Ph.D

Certification as TOGAF and/or Zachman Enterprise Architect preferred

Benefits

Medical, dental, and vision insurance, including expert medical opinion

Short term disability and long term disability

Life insurance and AD&D

Supplemental life insurance (Employee/Spouse/Child)

Health care and dependent care Flexible Spending Accounts

Pre-tax commuter and parking benefits

401(k) Savings and Investment Plan with company match

Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.

11 paid holidays

Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.

Paid parental leave

Adoption assistance

Employee Stock Purchase Plan

Financial planning and group legal

Voluntary benefits including auto, homeowner and pet insurance