Copy of DevOps Engineer

hace 2 semanas

Bogotá, Colombia Perform A tiempo completo

**Key Responsibilities**:

- Lead full-codebase migrations from legacy platforms (TFS, SVN, file shares) into GitHub Enterprise or Azure Repos.
- Define and implement repository structure, branch strategy, and pull request (PR) governance.
- Convert Jitterbit export files or Azure Data Factory JSON templates into version-controlled Infrastructure-as-Code (IaC) modules.
- Build and maintain CI pipelines using GitHub Actions and/or Azure Pipelines to, Compile.NET code via msbuild,Package DACPACs, Run unit tests and static code analysis with onarQube or Snyk, and Publish and manage artifacts.
- Automate CD workflows for both on-prem environments (Windows/IIS, SQL Server) and cloud services (Azure), leveraging ARM/Bicep or Terraform.
- Implement secure deployment practices with approval gates, secret management, and rollback hooks.
- Deploy integration pipelines using Jitterbit Harmony APIs, Cloud Studio CLI, or ADF Git-integrated workflows.
- Understand deployment nuances related to WorldPay/Vantiv, Litle PayPage, and Sage 500.
- Enforce PCI-DSS controls including key vault integration, artifact retention policies, and detailed audit trails.
- Set up deployment gates aligned with SOX compliance requirements, including change stamping via ServiceNow or Jira.
- Automate collection of evidence for audit and change control documentation.
- Integrate monitoring with Azure Monitor, Application Insights, custom Grafana dashboards, and ChatOps alerting for proactive rollback capabilities.

**Qualifications**:

- Demonstrated success in Git migration from legacy systems to Azure Repos or GitHub Enterprise.
- CI/CD pipeline implementation experience across.NET, SQL Server, and Azure-based architectures (nice to have).
- Familiarity with IaC tools such as ARM templates, Bicep, or Terraform.
- Deep understanding of DevOps in finance or payment processing environments.
- Experience with API-driven deployment automation for Jitterbit and/or Azure Data Factory.

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