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DevOps Engineer​/DataOps Engineer

Job in Detroit, Wayne County, Michigan, 48228, USA
Listing for: Global Channel Management, Inc
Full Time position
Listed on 2025-12-16
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing, Data Engineer, IT Consultant
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
About the job Dev Ops Engineer/Data Ops Engineer

Dev Ops Engineer/Data Ops Engineer needs 3+ years experience with AWS Core services (Lambda, S3, ECS, Glue, Kinesis, IAM, Cloud Watch, EC2, EKS etc.)

  • 4 years of experience working with CI/CD tools (Gitlab, Git Hub etc.)
  • Solid experience with multiple scripting languages (Python, Bash, Power Shell etc.)
  • Minimum 2 years Experience with configuration management/infrastructure as code (Terraform, Ansible.)
  • AWS certification preferred
  • Development experience with databases, SQL, and familiarity with Snowflake is highly desired
  • Solid understanding of Dev Sec Ops  methodologies and practice
  • Six or more years of experience with core development languages (Java, NodeJS, .NET, etc.)
  • Experience with REST APIs
  • Knowledge of common data serialization formats (YAML, JSON, XML, etc.)
  • Automation experience with Unix/Red Hat Linux and Ansible is a plus
  • Detail and results oriented
  • Ability to work independently and prioritize tasks
  • Working knowledge of Agile methodologies
  • Prior work experience in financial services and/or other regulated environments is a plus.
  • Bachelors degree in a technical field or 3+ years of experience in lieu of degree
  • Gather client requirements and design consistent, repeatable processes for complex operations
  • Ability to collaborate with IT operations, development teams, and other Line of Business (LOB) partners
  • Partner with development /data engineering and platform teams to ensure proper knowledge and implementation of CI/CD processes and tools
  • Provide ad hoc support by troubleshooting Dev Ops pipeline issues, and deployment issues.
  • Partner with Enterprise teams to ensure compliance with enterprise standards and patterns.
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