Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Chicago, IL, United States
Posted
21 hours ago
AWSMLOpsAzureCloudFormationGitHub Actions
Job Description
DevOps Engineer
Introduction:
The DevOps Engineer will work within the DevOps Engineering team to support various CLIENT Digital engineering teams in their efforts to develop, build, test, and deploy their solutions to the cloud.
Responsibilities:
- Contribute to design, development, testing, and deployment of software systems and/or applications.
- Perform all programming, project management, and development assignments without close supervision.
- Work directly on complex application/technical problem identification and resolution, including responding to off-shift and weekend support calls.
- Drive application development focused on delivering business valuable features.
- Maintain high standards of software quality within the team.
- Identify and encourage areas for growth and improvement within the team.
- Communicate with end users and internal customers to help direct development, debugging, and testing of application software.
- Perform integrated testing and customer acceptance testing of components.
- Perform other job duties as assigned by Client management.
Requirements:
Required Qualifications:
- At least 5-7 years of experience in a DevOps Engineer role.
- At least 5+ years of Amazon Web Services (AWS) cloud experience.
- Proficient with GitHub and GitHub Actions for source control and YAML-based CI/CD systems.
- Proficient writing and deploying AWS cloud infrastructure using AWS CloudFormation templates.
- Strong AWS experience with MLOps & AI services.
- Strong interpersonal and technical communication skills.
Preferred Qualifications:
- Associate or Professional-level AWS and/or Azure certifications related to DevOps, Development, or Architecture.
- Proficiency with AWS firewall and network configuration.
- Experience with Microsoft Azure cloud infrastructure using Azure Resource Manager (ARM) templates.
- Experience with NVIDIA GPU''s for AI use cases.
- Analytic mindset and skilled problem solver for troubleshooting issues.
- Exceptional verbal and written communication skills.
Soft Skills:
- Strong interpersonal and technical communication skills.
- Analytic mindset and skilled problem solver for troubleshooting issues.
- Great verbal and written communication skills to collaborate cross-functionally.
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