Sr. Cloud Devops & MLOps Engineer

About the Role

As a Sr. Cloud Devops & MLOps Engineer, you will:

• Design, deploy, and manage cloud infrastructure supporting AI/ML workloads on AWS and Azure.
• Manage compute resources such as EC2, Azure Virtual Machines, GPU instances, and Kubernetes clusters.
• Provision and configure storage, networking, and security services for AI platforms.
• Ensure high availability, scalability, and reliability of AI environments.
• Deploy and maintain AI/ML services including Amazon SageMaker and Azure Machine Learning.
• Support data scientists and ML engineers with optimized infrastructure for model training and deployment.
• Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, and ARM/Bicep templates.
• Automate provisioning, patching, and scaling of environments.
• Deploy and manage containerized workloads using Docker, Kubernetes, Amazon EKS, and Azure Kubernetes Service (AKS).
• Monitor system performance using CloudWatch, Azure Monitor, Datadog, and Prometheus.
• Optimize infrastructure for cost, performance, and GPU utilization.
• Implement security best practices including IAM/RBAC, encryption, and network security.
• Ensure compliance with organizational and regulatory standards.
• Integrate AI infrastructure with CI/CD pipelines and support automated deployments.

Required Skills & Experience

• Bachelor s degree in Computer Science, Information Systems, or related field.
• 5+ years of experience in cloud engineering or infrastructure administration.
• Strong hands-on experience with AWS and Microsoft Azure.
• Experience supporting AI/ML infrastructure or data platforms.
• Proficiency in Linux administration and scripting (Python, Bash, PowerShell).
• Hands-on experience with Docker and Kubernetes.

Preferred Qualifications

• Experience working with GPU-based infrastructure for AI workloads.
• Knowledge of ML pipelines and MLOps practices.
• Experience with data platforms such as Snowflake, Databricks, or Spark.
• Familiarity with AI frameworks like TensorFlow or PyTorch.
• Cloud certifications such as AWS Certified Solutions Architect or Azure AI Engineer.

Key Skills

• Cloud Infrastructure (AWS, Azure)
• AI/ML Platform Support
• Kubernetes & Containers
• Infrastructure as Code & Automation
• Monitoring & Performance Optimization
• Security & Compliance

Benefits

Innova Solutions offers benefits (based on eligibility) that include the following:

• Medical & pharmacy coverage
• Dental/vision insurance
• 401(k)
• Health saving account (HSA)
• Flexible spending account (FSA)
• Life Insurance
• Pet Insurance
• Short term and Long term Disability
• Accident & Critical illness coverage
• Pre-paid legal & ID theft protection
• Sick time
• Other types of paid leaves (as required by law)
• Employee Assistance Program (EAP)