Optomi
Platform Engineer
Optomi in partner with a leader in consulting and professional services is looking for a Platform Engineer to Handle day-to-day activities of the Azure and Databricks platforms. This candidate will be the lead engineer overseeing both onshore and offshore team members.
Experience of the right candidate: 6-8+ years experience (ideally 8) Platform engineering (Azure + Databricks). Terraform
mandatory, strong hands-on experience. Proven experience in DevOps and Platform Administration in cloud environments, specifically Azure. Expertise with Kubernetes, Helm, Docker, and CI/CD tools (Azure DevOps (primary), GitHub Actions (secondary, more of a nice to have)). Experience building Kubernetes environments from scratch. Experience in Databricks, Azure Data Factory, Airflow, Data Lake and related data engineering tools. Strong understanding of cloud-native architectures and container orchestration. IAM management (Azure AD, group management). VM management. Experience working as a Lead Engineer / Team Lead. Experience with Key Vault for secure secrets management and key handling. Strong scripting skills in Python, PowerShell, Bash, or similar scripting languages. Understanding of networking and security best practices in cloud environments.
Responsibilities of the right candidate: Handle day-to-day activities of the Azure and Databricks platforms. Lead engineer overseeing both onshore and offshore team members. Manage IAM, AD groups, VM management, and platform operations. Maintain and potentially expand existing platform environments. CI/CD pipeline work (Azure DevOps primarily). Work onsite in St. Louis 4 days a week. Potentially help with Dynatrace implementation.
Optomi in partner with a leader in consulting and professional services is looking for a Platform Engineer to Handle day-to-day activities of the Azure and Databricks platforms. This candidate will be the lead engineer overseeing both onshore and offshore team members.
Experience of the right candidate: 6-8+ years experience (ideally 8) Platform engineering (Azure + Databricks). Terraform
mandatory, strong hands-on experience. Proven experience in DevOps and Platform Administration in cloud environments, specifically Azure. Expertise with Kubernetes, Helm, Docker, and CI/CD tools (Azure DevOps (primary), GitHub Actions (secondary, more of a nice to have)). Experience building Kubernetes environments from scratch. Experience in Databricks, Azure Data Factory, Airflow, Data Lake and related data engineering tools. Strong understanding of cloud-native architectures and container orchestration. IAM management (Azure AD, group management). VM management. Experience working as a Lead Engineer / Team Lead. Experience with Key Vault for secure secrets management and key handling. Strong scripting skills in Python, PowerShell, Bash, or similar scripting languages. Understanding of networking and security best practices in cloud environments.
Responsibilities of the right candidate: Handle day-to-day activities of the Azure and Databricks platforms. Lead engineer overseeing both onshore and offshore team members. Manage IAM, AD groups, VM management, and platform operations. Maintain and potentially expand existing platform environments. CI/CD pipeline work (Azure DevOps primarily). Work onsite in St. Louis 4 days a week. Potentially help with Dynatrace implementation.