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Career Soft Solutions Inc. seeks an experienced automation engineer to drive end-to-end automation across platforms. The role emphasizes building scalable CI/CD pipelines, leveraging Terraform for infrastructure, and scripting in Python to reduce manual work.
The ideal candidate will own cloud automation with Azure as a primary focus, while maintaining familiarity with AWS/GCP and observability tools like Dynatrace or Splunk.
8+ years of experience in automation engineering, DevOps, or software engineering
Strong proficiency in Python for scripting and automation development
Hands-on experience with Terraform and infrastructure-as-code practices
Experience building and maintaining CI/CD pipelines (GitHub Actions preferred)
Cloud experience in Azure (primary), with working knowledge of AWS and/or GCP
Experience integrating systems and tools via APIs to automate workflows
Experience ins setting up E2E observability dashboards using Dynatrace/Splunk
Strong problem-solving skills with ability to reduce manual processes through automation