Urgent Need : Sr AI DevOps Engineer - San Jose, CA (On-site)-Need Locals

[Adil Momento]

Hi,

Momento USA is a global technology consulting, talent acquisition, and creative development firm that addresses clients' most pressing needs and challenges. We are currently looking for a Sr AI DevOps Engineer - San Jose, CA (On-site)-Please let me know if you are interested.

 

 

Position: Sr AI DevOps Engineer

Location: San Jose, CA (On-site)---Need local’s

Duration: 6 Months+

Exp Range : 7 to 9 Years  

 

• Experience with Generative AI, LLM Ops, RAG architectures, and AI platform engineering.
• Knowledge of NVIDIA GPU infrastructure and CUDA-based deployments.
• Experience with Kubernetes-based AI platforms such as Kubeflow and KServe.

 

IAC

Kubernetes

Docker

Terraform

Ansible

AI/ML

MLOps workflows

 

Note : Look for resource who is good with hands on Coding

 

Position Summary

We are seeking an experienced AI DevOps Engineer to design, implement, and maintain scalable infrastructure and deployment pipelines for AI/ML applications. The ideal candidate will have strong expertise in Kubernetes, Docker, Infrastructure as Code (IaC), cloud platforms, and CI/CD automation. This role will be responsible for enabling reliable, secure, and efficient deployment of AI/ML workloads across development, testing, and production environments.

Key Responsibilities

• Design, deploy, and manage cloud-native infrastructure supporting AI/ML applications.
• Build and maintain Kubernetes clusters for scalable container orchestration.
• Develop and manage Docker containers for AI/ML services and microservices.
• Implement Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, or Pulumi.
• Create and optimize CI/CD pipelines for automated deployment of AI/ML models and applications.
• Collaborate with Data Scientists, ML Engineers, and Software Developers to operationalize machine learning workflows.
• Monitor system performance, availability, and security across cloud environments.
• Implement logging, monitoring, and observability solutions using tools such as Prometheus, Grafana, ELK, or Datadog.
• Automate infrastructure provisioning, configuration management, and application deployments.
• Manage cloud resources and optimize infrastructure costs.
• Ensure compliance with security best practices and organizational standards.
• Troubleshoot production issues and provide operational support for AI platforms.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 5+ years of DevOps, Platform Engineering, or Cloud Engineering experience.
• Hands-on experience with Kubernetes administration and container orchestration.
• Strong experience with Docker and containerized application deployment.
• Expertise in Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Pulumi.
• Experience building and maintaining CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, Azure DevOps, or similar tools.
• Proficiency in scripting and automation using Python, Bash, or PowerShell.
• Experience with Linux system administration.
• Strong understanding of networking, security, and cloud architecture principles.

Preferred Qualifications

• Experience supporting AI/ML platforms and MLOps workflows.
• Hands-on experience with Kubeflow, MLflow, Airflow, or similar MLOps tools.
• Experience deploying Large Language Models (LLMs), Generative AI applications, or AI inference workloads.
• Knowledge of GPU-enabled Kubernetes environments and AI infrastructure.
• Experience with vector databases and AI-serving platforms.
• Relevant cloud certifications (AWS, Azure, or GCP).
• Kubernetes certifications (CKA, CKAD, or CKS).

Technical Skills

Containerization & Orchestration

• Docker
• Kubernetes
• Helm
• OpenShift (preferred)

Infrastructure as Code

• Terraform
• CloudFormation
• Pulumi
• Ansible

Cloud Platforms

• AWS
• Microsoft Azure
• Google Cloud Platform (GCP)

CI/CD & Automation

• Jenkins
• GitHub Actions
• GitLab CI/CD
• Azure DevOps

Monitoring & Logging

• Prometheus
• Grafana
• ELK Stack
• Datadog

Programming/Scripting

• Python
• Bash
• PowerShell

Thanks,

Adil M

Sr. Technical Lead

Momento USA | Exceeding Customer Expectations…

Email:  ad...@momentousa.com  

[saikr...@meridiansoft.com]

Hi,

Please find below the profile(s):

Name: Phani
Technology: AWS DevOps
Experience: 12 yrs
Visa: H1B
Location: IN
Relocation: NO

Name: Prudhvi
Technology: Azure DevOps
Experience: 10 yrs
Visa: H1B
Location: LA
Relocation: YES

Name: Pranathi
Technology: Azure DevOps
Experience: 5 yrs
Visa: L2
Location: MI
Relocation: YES



Thanks & Regards,
Sai | Bench Sales Recruiter
saikr...@meridiansoft.com
Desk: (380)388-3683