Executive-KDNI
KPMG Global Services
Executive-KDNI
About this role
As a DevOps professional in our team, you will play a pivotal role in designing, implementing, and managing the infrastructure and deployment pipelines that support our AI-driven applications. You will work closely with data scientists, AI researchers, and software engineers to ensure seamless integration and optimal performance of AI solutions.
Key responsibilities include:
Cloud Infrastructure Management:
• Design, deploy, and manage AI solutions on Azure and Google Cloud Platform (GCP).
• Optimize cloud resources to ensure cost-effectiveness and high performance.
CI/CD Pipeline Development:
• Develop and maintain continuous integration and continuous deployment pipelines for AI applications on Azure DevOps and GitHub Actions.
• Develop and maintain automated code and security scan pipelines.
• Automate deployment processes to streamline workflows and reduce time-to-market.
Hardware Integration:
• Manage and configure specialized hardware workstations including HP Fury Z8, Dell 7960 XCTO, and Nvidia GCX Studio A100.
• Ensure seamless integration between cloud services and on-premises hardware resources.
AI/ML Operations:
• Implement AI Ops, ML Ops, and RAG Ops practices to enhance the reliability and scalability of AI systems.
• Monitor system performance, troubleshoot issues, and implement improvements.
Collaboration and Support:
• Collaborate with cross-functional teams to understand requirements and deliver robust AI solutions.
• Provide technical support and guidance to team members regarding DevOps best practices and tools.
Security and Compliance:
• Ensure all deployments adhere to security standards and compliance regulations.
• Implement and maintain security protocols for both cloud and on-premises environments.
Educational Qualifications
• Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree preferred.
Work Experience
• 1-3 Years of Work Experience
• Strong expertise in Azure AI Studio and developing AI solutions on the Azure platform.
• Experience with Google Cloud Platform (GCP) in deploying and managing AI solutions.
• Proven experience as a DevOps Engineer, preferably within AI or machine learning environments.
Skills
• Proficiency with cloud services, including compute, storage, networking, and AI/ML tools on Azure and GCP.
• Hands-on experience with CI/CD tools such as Azure DevOps or GitHub Actions or Jenkins.
• Familiarity with containerization and orchestration technologies like Docker and Kubernetes.
• Knowledge of infrastructure as code (IaC) tools such as Terraform or Azure Resource Manager.
Frequently Asked Questions
Is the salary disclosed for the Executive-KDNI position at KPMG Global Services?
The salary for this Executive-KDNI role at KPMG Global Services is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Executive-KDNI position at KPMG Global Services located?
This Executive-KDNI role at KPMG Global Services is based in Bangalore, Karnataka, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Executive-KDNI role at KPMG Global Services full-time or part-time?
This is listed as a Full time position. It is posted as a Executive-KDNI role at KPMG Global Services.
How do I apply for the Executive-KDNI position at KPMG Global Services?
Click the "Apply Now" button on this page. You will be redirected to KPMG Global Services's official application portal hosted on oraclecloud where you can submit your application directly.
When was the Executive-KDNI job at KPMG Global Services posted?
This Executive-KDNI position at KPMG Global Services was posted on Sep 16, 2026. Apply as soon as possible — early applications are often reviewed first.
Executive-KDNI
KPMG Global Services
You'll be redirected to KPMG Global Services's official application page on oraclecloud.