DevOps Engineer Cloud, Automation, and MLOps *** Direct end client ***

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

AI
Amazon Web Services
Ansible
CloudFormation
DevOps
Jupyter
Kubernetes
Lambda
Linux
Python
SQS
SageMaker
Vertex
Terraform
cloud infrastructure
data science
experimentationDevelop
lifecycle management
machine learning
performance tuning
EC2
data preprocessing
MLOps Engineer
MLOps DevOps Engineer
CI/CD pipelines
Gitlab
Go
AWS
Azure
GCP
CI/CD
Jenkins
GitHub Actions
Puppet
Chef
Docker
MLOps
Kubeflow
MLflow
Bash
Prometheus
Grafana
ELK
Monitoring
Logging
Cloud Security
IAM
Automation
Infrastructure as Code
IaC
Machine Learning Operations
Confluence
Git
Cloud Deployment
Continuous Integration
Continuous Delivery

Job Details

DevOps Engineer – Cloud, Automation, and MLOps

Job Description:
We are looking for an experienced DevOps Engineer with strong expertise in cloud infrastructure automation, CI/CD, and MLOps. The role involves designing and implementing scalable solutions for infrastructure provisioning, configuration management, and machine learning workflows. You will work with modern DevOps tools and best practices to ensure secure, reliable, and automated deployments across cloud environments.

Responsibilities:

  • Automate infrastructure provisioning and deployments using Terraform, CloudFormation, and other IaC tools.
  • Architect and implement MLOps pipelines for machine learning models using Kubeflow, MLflow, or similar frameworks.
  • Build and maintain CI/CD pipelines using GitLab, Jenkins, and integrate automated testing and deployment.
  • Manage configuration automation with Ansible, Puppet, or Chef.
  • Implement monitoring and alerting using Prometheus, Grafana, ELK Stack, and cloud-native tools.
  • Ensure security and compliance across infrastructure and deployments (IAM, encryption, vulnerability scanning).
  • Document cloud onboarding processes and maintain knowledge bases using Confluence.
  • Collaborate with development and operations teams to transition support and maintain operational excellence.

Technical Skills & Tools:

  • Cloud Platforms: AWS, Azure, Google Cloud Platform
  • Infrastructure as Code: Terraform, CloudFormation
  • CI/CD: GitLab, Jenkins, GitHub Actions
  • Configuration Management: Ansible, Puppet, Chef
  • Containers & Orchestration: Docker, Kubernetes
  • MLOps: Kubeflow, MLflow
  • Monitoring & Logging: Prometheus, Grafana, ELK Stack
  • Scripting: Python, Bash
  • Version Control: Git
  • Security: IAM, SSL/TLS, compliance frameworks

DevOps, Terraform, CloudFormation, AWS, Azure, Google Cloud Platform, CI/CD, GitLab, Jenkins, GitHub Actions, Ansible, Puppet, Chef, Docker, Kubernetes, MLOps, Kubeflow, MLflow, Python, Bash, Prometheus, Grafana, ELK, Monitoring, Logging, Cloud Security, IAM, Automation, Infrastructure as Code, IaC, Cloud Infrastructure, Machine Learning Operations, Confluence, Git, Cloud Deployment, Continuous Integration, Continuous Delivery

 

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