SailPoint DevOps Engineer

Hybrid in Atlanta, GA, US • Posted 1 day ago • Updated 5 hours ago
Contract W2
Contract Independent
12 Months
No Travel Required
Hybrid
Depends on Experience
Fitment

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Job Details

Skills

  • Docker
  • DevOps
  • Bash
  • Amazon Web Services
  • Cloud Computing
  • Continuous Integration
  • Continuous Delivery
  • GitLab
  • Good Clinical Practice
  • Google Cloud Platform
  • Git
  • Caching
  • Kubernetes
  • Management
  • JFrog
  • Scripting
  • Microsoft Azure
  • Migration
  • Python
  • SaaS
  • SailPoint
  • Shell
  • Terraform
  • Nexus
  • Workflow
  • Version Control

Summary


Job Description

We are seeking an experienced DevOps Engineer with strong expertise in GitLab CI/CD, cloud-native tooling, and containerized environments to design, build, and maintain scalable automation pipelines and deployment systems.

Key Responsibilities
  • Design, develop, and maintain GitLab CI/CD pipelines for automated build, test, and deployment workflows.
  • Configure and manage GitLab runners (shared and self-hosted) across multiple environments.
  • Optimize CI/CD pipelines for performance, including caching strategies and parallel execution.
  • Integrate GitLab with enterprise tools such as SonarQube, NexArtifactory, JFrog, Terraform, and Kubernetes.
  • Support migration of on-prem GitLab pipelines to GitLab SaaS with minimal disruption and improved efficiency.
  • Implement variable-driven deployment strategies for multi-environment and scalable deployments.
  • Manage Git-based source control, including branching strategies (GitFlow, trunk-based development), merge requests, and code reviews.
  • Develop automation scripts using Bash, Python, or Shell to streamline operational tasks.
  • Support containerized deployments using Docker and Kubernetes.
Required Skills & Experience
  • 8–10 years of experience in DevOps or related engineering roles.
  • Strong hands-on experience with GitLab CI/CD (SaaS and on-prem).
  • Proficiency in Git version control and branching strategies.
  • Experience with Docker and Kubernetes.
  • Strong scripting skills in Bash, Python, or Shell.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90887977
  • Position Id: 8998062
  • Posted 1 day ago
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