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HomeCompaniesFa Etqo Saasfaprod1 Fa Ocs Oraclecloud Com CX 1Devops Principal Consultant

Devops Principal Consultant

Fa Etqo Saasfaprod1 Fa Ocs Oraclecloud Com CX 1 · United States · Hybrid · Deleted · Oracle Recruiting Cloud / Fusion HCM

Job facts

FieldValue
CompanyFa Etqo Saasfaprod1 Fa Ocs Oraclecloud Com CX 1
TitleDevops Principal Consultant
Normalized title-
Department / team-
LocationUnited States
Work modelHybrid / Hybrid
Employment type-
Salary-
Statusdeleted
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-05-19 / 2026-05-31
Changed / last seen2026-06-21 / 2026-06-19

Related slices

PageWhat it containsOpen
Company jobsActive postings from Fa Etqo Saasfaprod1 Fa Ocs Oraclecloud Com CX 1.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Oracle Recruiting Cloud / Fusion HCM.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyFa Etqo Saasfaprod1 Fa Ocs Oraclecloud Com CX 1
Source693f06bc-a41a-4f36-9b23-dcfc03ebb3f7
ATS providerOracle Recruiting Cloud / Fusion HCM

Description

Description Job Description: The Azure Stack AI DevOps Specialist designs, implements, and manages CI/CD pipelines for AI and Machine Learning applications specifically hosted on Azure Stack infrastructure. You ensure that infrastructure is treated as code (IaC) and that AI models are seamlessly deployed, monitored, and retrained in hybrid cloud environments. Key Roles & Responsibilities 1. Hybrid Infrastructure Management • Provisioning: Use Terraform or Bicep to automate the setup of Azure Stack Hub or Edge resources. • Scalability: Configure GPU-enabled nodes on Azure Stack to handle intensive AI/ML workloads. • Governance: Implement Azure Policy and Role-Based Access Control (RBAC) to maintain security across on-premises and cloud environments. 2. MLOps & CI/CD Pipelines • Automation: Build end-to-end pipelines using Azure Pipelines or GitHub Actions to automate model training, testing, and deployment. • Model Versioning: Manage model artifacts and datasets to ensure reproducibility of AI results. • Edge Deployment: Orchestrate the deployment of AI models to Azure Stack Edge devices using IoT Edge and Kubernetes (AKS). 3. Monitoring and Optimization • Observability: Implement Azure Monitor and Application Insights to track the health of both the infrastructure and the AI model’s performance (e.g., detecting data drift). • Performance Tuning: Optimize resource allocation for containers running AI inference to reduce latency at the edge. 4. Security & Compliance • DevSecOps: Integrate security scanning into the pipeline to check for vulnerabilities in container images and AI libraries. • Data Residency: Ensure that AI processing complies with local data residency laws by keeping sensitive data on the Azure Stack Hub within the local datacenter.

Full job record

Job ID1578f8e2e90dfb2fc1dd3ebc789541ea8b49d1c9
Org ID0c280226-a9e3-4450-af67-3d1b36993e95
Source ID693f06bc-a41a-4f36-9b23-dcfc03ebb3f7
Board ID693f06bc-a41a-4f36-9b23-dcfc03ebb3f7
Provideroracle_hcm
Provider Job Key643577
TitleDevops Principal Consultant
Normalized Title
Statusdeleted
Activeno
Location TextUnited States
Department
Team
Employment Type
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
Region
City
Salary RawDescription Job Description: The Azure Stack AI DevOps Specialist designs, implements, and manages CI/CD pipelines for AI and Machine Learning applications specifically hosted on Azure Stack infrastructure. You ensure that infrastructure is treated as code (IaC) and that AI models are seamlessly deployed, monitored, and retrained in hybrid cloud environments. Key Roles & Responsibilities 1. Hybrid Infrastructure Management • Provisioning: Use Terraform or Bicep to automate the setup of Azure Stack Hub or Edge resources. • Scalability: Configure GPU-enabled nodes on Azure Stack to handle intensive AI/ML workloads. • Governance: Implement Azure Policy and Role-Based Access Control (RBAC) to maintain security across on-premises and cloud environments. 2. MLOps & CI/CD Pipelines • Automation: Build end-to-end pipelines using Azure Pipelines or GitHub Actions to automate model training, testing, and deployment. • Model Versioning: Manage model artifacts and datasets to ensure reproducibility of AI results. • Edge Deployment: Orchestrate the deployment of AI models to Azure Stack Edge devices using IoT Edge and Kubernetes (AKS). 3. Monitoring and Optimization • Observability: Implement Azure Monitor and Application Insights to track the health of both the infrastructure and the AI model’s performance (e.g., detecting data drift). • Performance Tuning: Optimize resource allocation for containers running AI inference to reduce latency at the edge. 4. Security & Compliance • DevSecOps: Integrate security scanning into the pipeline to check for vulnerabilities in container images and AI libraries. • Data Residency: Ensure that AI processing complies with local data residency laws by keeping sensitive data on the Azure Stack Hub within the local datacenter.
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://fa-etqo-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/643577
Apply URLhttps://fa-etqo-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/643577
First Seen At2026-05-31 18:03:45Z
Last Seen At2026-06-19 11:26:09Z
Last Checked At2026-06-21 12:46:48Z
Last Changed At2026-06-21 12:46:48Z
Inactive At2026-06-21 12:46:48Z
Source Posted At2026-05-19 16:57:05Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=fa-etqo-saasfaprod1.fa.ocs.oraclecloud.com|CX_1/date=2026-06-19/2026-06-19T11-25-50-042Z-9307f707d40be6a6c630477f8cf9477fe567efd4da31724af01b103029be96f0.json
Event Fields
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  "last_changed_at": "2026-06-21T12:46:48.886Z",
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Parsed Structured
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Extensions
{}
Native Structured
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