Proven track record with at least 4 years of experience in Cloud Engineering specific to automation and tagging resources in an Azure environment.
Strong understanding of DevOps concepts (Azure DevOps framework and tools preferred)
Strong understanding of FinOps concepts around tracking performance using tags and cost allocation.
Solid scripting skills in languages such as Python, Bash, JavaScript, or similar
Hands-on experience with CI/CD pipeline tools (e.g., Jenkins, Azure DevOps, CircleCI) and version control systems (e.g., GitHub)
Extensive experience and strong understanding of cloud and infrastructure components
Experience working with Databricks
Experience working in an agile environment
Strong problem-solving and analytical skills, with the ability to troubleshoot complex DevOps / FinOps problems with creative solutions.
Excellent communication and collaboration skills, with the ability to work effectively with cross- functional teams and stakeholders
4+ years of professional infrastructure and/or software development experience
3+ years of experience Azure
Bachelors or Master's degree in Computer Science, Data Science, or a related field.
Bachelors or Master's degree in Computer Science