Posted 22 July, 2026
DevOps Engineer/DataOps Engineer
Global Channel Management, Inc.
Detroit, MI, US
Full Time
Job Description
DevOps Engineer/DataOps Engineer needs 3+ years experience with AWS Core services (Lambda, S3, ECS, Glue, Kinesis, IAM, CloudWatch, EC2, EKS etc.)
\nDevOps Engineer/DataOps Engineer requires:
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- Detroit, MI ; Charlotte, NC \n
- 4 years of experience working with CI/CD tools (Gitlab, GitHub etc.) \n
- Solid experience with multiple scripting languages (Python, Bash, PowerShell etc.) \n
- Minimum 2 years Experience with configuration management/infrastructure as code (Terraform, Ansible.) \n
- AWS certification preferred \n
- Development experience with databases, SQL, and familiarity with Snowflake is highly desired \n
- Solid understanding of DevSecOps methodologies and practice \n
- Six or more years of experience with core development languages (Java, NodeJS, .NET, etc.) \n
- Experience with REST APIs \n
- Knowledge of common data serialization formats (YAML, JSON, XML, etc.) \n
- Automation experience with Unix/Red Hat Linux and Ansible is a plus \n
- Detail and results oriented \n
- Ability to work independently and prioritize tasks \n
- Working knowledge of Agile methodologies \n
- Prior work experience in financial services and/or other regulated environments is a plus. \n
- Bachelors degree in a technical field or 3+ years of experience in lieu of degree \n
DevOps Engineer/DataOps Engineer duties:
\n- \n
- Gather client requirements and design consistent, repeatable processes for complex operations \n
- Ability to collaborate with IT operations, development teams, and other Line of Business (LOB) partners \n
- Drive day-to-day DevOps activities: intake, manage priorities, deliverables, etc. \n
- Partner with development /data engineering and platform teams to ensure proper knowledge and implementation of CI/CD processes and tools \n
- Provide ad hoc support by troubleshooting DevOps pipeline issues, and deployment issues. \n
- Partner with Enterprise teams to ensure compliance with enterprise standards and patterns. \n
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