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126 results (8 new)

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AI /DevOps Engineer

Aptino

Cincinnati, Ohio • Today

Easy Apply

Contract, Third Party

Depends on Experience

Devops Engineer

Incedo Inc

Hybrid in Cincinnati, Ohio • 2d ago

Easy Apply

Full-time

$100,000 - $130,000

DevOps Enablement Engineer & AI Adoption Specialist

EPAM Systems

Remote or New York, New York • Today

Full-time

DevOps Enablement Engineer & AI Adoption Specialist

EPAM Systems

Remote • Today

Full-time

Senior DevOps AI Platform Engineer

GXO Logistics

Remote or North Carolina • Today

Full-time

DevOps Engineer

Cyera

Remote or New York, New York • Today

Full-time

USD 160,000.00 - 200,000.00 per year

AI Engineer Tech Lead

NTT DATA Americas, Inc

Remote • 21d ago

Easy Apply

Third Party, Contract

Depends on Experience

AI Security Architect - Erlanger, KY , Decatur, IL OR Chicago IL

Archer Daniels Midland

Erlanger, Kentucky • Today

Full-time

USD 92,800.00 - 172,500.00 per year

DevOps (Cloud/AI)

Bayside Solutions

Remote • Today

Easy Apply

Contract

$60 - $70 per hour

AI/ML Engineer - Boston, MA, Hartford, CT, Princeton, NJ, Newark, NJ, New York City, NY.

TechniPros, LLC

Remote or Boston, Massachusetts • Today

Easy Apply

Contract

Depends on Experience

AI/ML Engineer – Vertex AI - Columbia, SC, Atlanta, GA, Charlotte, NC, Tampa, FL, Raleigh, NC, Durham, NC, Orlando, FL.

TechniPros, LLC

Remote or Columbia, South Carolina • Today

Easy Apply

Contract

Depends on Experience

SAP AI Engineering Architect

Centraprise Corp

Remote • 2d ago

Easy Apply

Full-time

160,000 - 200,000

Security NLP Architect

I-Link Solutions

Remote • 2d ago

Easy Apply

Contract, Third Party

Depends on Experience

Agentic AI Forward Deployment Engineer / Architect

Photon

Remote • 10d ago

Easy Apply

Third Party, Contract

Depends on Experience

Applied AI Engineer

Showman Staffing

Remote • 4d ago

Easy Apply

Full-time

80,000 - 110,000

AI/ML Applied Scientist - Remote

UnitedHealth Group

Remote or San Francisco, California • Today

Full-time

USD 112,300.00 - 134,800.00 per year

Senior AI/ML Applied Scientist - Remote

UnitedHealth Group

Remote or Bellevue, Washington • Today

Full-time

USD 130,000.00 - 162,500.00 per year

Senior Generative AI Engineer (Google Gemini & Vertex AI) - Remote

DivIHN Integration Inc.

Remote • 3d ago

Easy Apply

Third Party, Contract

$51 - $55

Contract-W2: AI Data Scientist (Potential FTE Conversion after 3-6 Months)

Everest Technologies

Remote • 2d ago

Easy Apply

Contract, Third Party

Depends on Experience

AI Architect

Brooksource

Remote • Today

Contract

$80.00 - $92.00

Gen AI Engineer/Lead

Factspan Inc

Remote • 15d ago

Easy Apply

Full-time

Depends on Experience

Sr AI/ML Engineer with Medical Imaging

People Force Consulting Inc

Remote • Today

Easy Apply

Third Party, Contract

AI Engineer Tech Lead

NTT DATA, Inc.

Remote or Dallas, Texas • Today

Full-time

Sr Generative AI Scientist II - (Model Risk & Validation)

Cotiviti

Remote • Today

Full-time

USD 145,000.00 - 170,000.00 per year

Generative AI Scientist - (Model Risk & Validation)

Cotiviti

Remote • Today

Full-time

USD 110,000.00 - 130,000.00 per year

Senior MLOps (Machine Learning Engineer)

Zyxware Technologies

Remote • 10d ago

Easy Apply

Full-time

Depends on Experience

Mid Level MLOps (Machine Learning Engineer)

Zyxware Technologies

Remote • 10d ago

Easy Apply

Full-time

Depends on Experience

AI Field Engineer - Enterprise

Fireworks AI

Remote or New York, New York • 19d ago

Full-time

USD 200,000.00 - 260,000.00 per year

Artificial Intelligence/Machine Learning (AI/ML) Engineer

ANALYTICA

Remote or Bethesda, Maryland • Today

Full-time

Associate Data Scientist

Amplify

Remote • Today

Full-time

USD 95,000.00 - 110,000.00 per year

Job Details

Skills

Kubernetes
Data Validation
DevOps
Development Testing
Documentation
Corrective And Preventive Action
Data Integration
Extract, Transform, Load
Continuous Improvement
Continuous Integration
Collaboration
Communication
Optimization
Microsoft Azure
Microsoft SSIS
Operational Efficiency
Continuous Delivery
Dashboard
FOCUS
Recovery
Root Cause Analysis
SQL Azure
Storage
Management
Problem Management
Production Support
Artificial Intelligence
Change Management
Cloud Computing
Workflow
Azure SQL Databases
Azure App Services
Azure Key Vaults
Azure Functions
Azure Kubernetes Service (AKS)
AKS
Azure DevOps
CI/CD
ETL processes
ETL
Root Cause Analysis (RCA)
Corrective Action Plans (CAPs)
Observability
Integration Support
Container
Azure services
observability platforms
data integration workflows
CI/CD pipelines
Corrective Action
Platform Operations Engineer

Kubernetes
Data Validation
DevOps
Development Testing
Documentation
Corrective And Preventive Action
Data Integration
Extract, Transform, Load
Continuous Improvement
Continuous Integration
Collaboration
Communication
Optimization
Microsoft Azure
Microsoft SSIS
Operational Efficiency
Continuous Delivery
Dashboard
FOCUS
Recovery
Root Cause Analysis
SQL Azure
Storage
Management
Problem Management
Production Support
Artificial Intelligence
Change Management
Cloud Computing
Workflow
Azure SQL Databases
Azure App Services
Azure Key Vaults
Azure Functions
Azure Kubernetes Service (AKS)
AKS
Azure DevOps
CI/CD
ETL processes
ETL
Root Cause Analysis (RCA)
Corrective Action Plans (CAPs)
Observability
Integration Support
Container
Azure services
observability platforms
data integration workflows
CI/CD pipelines
Corrective Action
Platform Operations Engineer

Summary

Role Name: AI / DevOps Engineer
Location: Cincinnati, OH (Onsite)
Duration: 12 Months

Role Overview:
We are looking for an experienced Azure DevOps & Platform Operations Engineer to manage and support cloud applications, data platforms, and integration services running on Microsoft Azure. The candidate will focus on platform reliability, monitoring, production support, incident troubleshooting, and continuous improvement.

Key Responsibilities:

Monitor Azure applications, infrastructure, APIs, and data platforms for availability, performance, and reliability.
Work with Azure Storage, Azure SQL, App Services, Azure Functions, Key Vault, and AKS for operational support and administration.
Monitor observability dashboards, alerts, application latency, endpoints, dependencies, and service health metrics.
Support Kubernetes/AKS environments by troubleshooting pod failures, deployments, resource issues, and container workloads.
Perform operational recovery activities such as restarting pods/services and restoring application availability.
Monitor and troubleshoot Azure DevOps CI/CD pipelines, deployments, service connections, agent pools, and release processes.
Support code/configuration movement across development, testing, and production environments.
Monitor data ingestion and integration workflows, validate source files, troubleshoot ETL/data movement failures, and perform data validation.
Handle production incidents, perform triage, coordinate resolution, and work within defined SLAs.
Conduct Root Cause Analysis (RCA) and develop/track Corrective Action Plans (CAPs) for recurring or critical issues.
Support change management, deployment validation, problem management, and production releases.
Identify opportunities for automation, alert optimization, monitoring improvements, and operational efficiency.
Develop and maintain runbooks, SOPs, support documentation, and knowledge articles.
Collaborate with application, infrastructure, data, and DevOps teams to improve platform stability and reliability.

Required Skills:

Strong hands-on experience with Microsoft Azure and Azure DevOps.
Experience with AKS/Kubernetes and containerized applications.
Knowledge of CI/CD pipelines, deployment processes, and production operations.
Experience with Azure monitoring/observability tools and alert management.
Strong troubleshooting skills across applications, infrastructure, APIs, and data pipelines.
Experience with ETL/data integration workflows and data validation.
Strong understanding of Incident, Problem, Change Management, RCA, and CAP processes.
Excellent communication and ability to work effectively in an onsite production-support environment.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90999382
Position Id: 9063506
Posted 4 hours ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Anchal Khapekar

Recruiter @ Aptino

View Profile

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Job Details

Skills

Kubernetes
Data Validation
DevOps
Development Testing
Documentation
Corrective And Preventive Action
Data Integration
Extract, Transform, Load
Continuous Improvement
Continuous Integration
Collaboration
Communication
Optimization
Microsoft Azure
Microsoft SSIS
Operational Efficiency
Continuous Delivery
Dashboard
FOCUS
Recovery
Root Cause Analysis
SQL Azure
Storage
Management
Problem Management
Production Support
Artificial Intelligence
Change Management
Cloud Computing
Workflow
Azure SQL Databases
Azure App Services
Azure Key Vaults
Azure Functions
Azure Kubernetes Service (AKS)
AKS
Azure DevOps
CI/CD
ETL processes
ETL
Root Cause Analysis (RCA)
Corrective Action Plans (CAPs)
Observability
Integration Support
Container
Azure services
observability platforms
data integration workflows
CI/CD pipelines
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Platform Operations Engineer

Kubernetes
Data Validation
DevOps
Development Testing
Documentation
Corrective And Preventive Action
Data Integration
Extract, Transform, Load
Continuous Improvement
Continuous Integration
Collaboration
Communication
Optimization
Microsoft Azure
Microsoft SSIS
Operational Efficiency
Continuous Delivery
Dashboard
FOCUS
Recovery
Root Cause Analysis
SQL Azure
Storage
Management
Problem Management
Production Support
Artificial Intelligence
Change Management
Cloud Computing
Workflow
Azure SQL Databases
Azure App Services
Azure Key Vaults
Azure Functions
Azure Kubernetes Service (AKS)
AKS
Azure DevOps
CI/CD
ETL processes
ETL
Root Cause Analysis (RCA)
Corrective Action Plans (CAPs)
Observability
Integration Support
Container
Azure services
observability platforms
data integration workflows
CI/CD pipelines
Corrective Action
Platform Operations Engineer

Summary

Role Name: AI / DevOps Engineer
Location: Cincinnati, OH (Onsite)
Duration: 12 Months

Key Responsibilities:

Monitor Azure applications, infrastructure, APIs, and data platforms for availability, performance, and reliability.
Work with Azure Storage, Azure SQL, App Services, Azure Functions, Key Vault, and AKS for operational support and administration.
Monitor observability dashboards, alerts, application latency, endpoints, dependencies, and service health metrics.
Support Kubernetes/AKS environments by troubleshooting pod failures, deployments, resource issues, and container workloads.
Perform operational recovery activities such as restarting pods/services and restoring application availability.
Monitor and troubleshoot Azure DevOps CI/CD pipelines, deployments, service connections, agent pools, and release processes.
Support code/configuration movement across development, testing, and production environments.
Monitor data ingestion and integration workflows, validate source files, troubleshoot ETL/data movement failures, and perform data validation.
Handle production incidents, perform triage, coordinate resolution, and work within defined SLAs.
Conduct Root Cause Analysis (RCA) and develop/track Corrective Action Plans (CAPs) for recurring or critical issues.
Support change management, deployment validation, problem management, and production releases.
Identify opportunities for automation, alert optimization, monitoring improvements, and operational efficiency.
Develop and maintain runbooks, SOPs, support documentation, and knowledge articles.
Collaborate with application, infrastructure, data, and DevOps teams to improve platform stability and reliability.

Required Skills:

Strong hands-on experience with Microsoft Azure and Azure DevOps.
Experience with AKS/Kubernetes and containerized applications.
Knowledge of CI/CD pipelines, deployment processes, and production operations.
Experience with Azure monitoring/observability tools and alert management.
Strong troubleshooting skills across applications, infrastructure, APIs, and data pipelines.
Experience with ETL/data integration workflows and data validation.
Strong understanding of Incident, Problem, Change Management, RCA, and CAP processes.
Excellent communication and ability to work effectively in an onsite production-support environment.

Dice Id: 90999382
Position Id: 9063506
Posted 4 hours ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Anchal Khapekar

Recruiter @ Aptino

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

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