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Open nowFirst seen 45 hours ago

DevOps Engineer/DataOps Engineer

global-channel-management-inc944 open roles

Where
Detroit, Michigan, United States
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Your applicationOpen nowDevOps Engineer/DataOps Engineerglobal-channel-management-inc · Detroit, Michigan, United States
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Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 45 hours ago

The posting

DevOps Engineer/DataOps Engineer needs 3+ years experience with AWS Core services (Lambda, S3, ECS, Glue, Kinesis, IAM, CloudWatch, EC2, EKS etc.)

DevOps Engineer/DataOps Engineer requires:

  • Detroit, MI ; Charlotte, NC
  • 4 years of experience working with CI/CD tools (Gitlab, GitHub etc.)
  • Solid experience with multiple scripting languages (Python, Bash, PowerShell 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 DevSecOps 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

DevOps Engineer/DataOps Engineer duties:

  • 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
  • Drive day-to-day DevOps activities: intake, manage priorities, deliverables, etc.
  • 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 DevOps pipeline issues, and deployment issues.
  • Partner with Enterprise teams to ensure compliance with enterprise standards and patterns.
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