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SeniorFull-timePythonAWSAzureKubernetesDockerTerraformCI/CDAIML
Salary Range
$26,520 - $35,880 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking a Data Platform Engineer to design, build, and operate scalable data and AI platform capabilities across cloud-native and hybrid environments. This role focuses on ensuring reliability, security, and operational excellence with a primary focus on Azure.
Key Responsibilities
- →Design, build, and operate scalable data and AI platform capabilities across cloud-native and hybrid environments, with a primary focus on Azure and exposure to AWS.
- →Build and maintain foundational platform services for data and analytics using Azure Databricks, ADLS Gen2, and supporting cloud services.
- →Develop and manage Infrastructure-as-Code (IaC) and containerized platform components using Terraform, Docker, and Kubernetes fundamentals for repeatable, resilient deployments.
- →Enable standardized, self-service platform patterns for data engineering, analytics, and AI teams.
- →Integrate data platforms with AI platforms and model AI gateways, supporting secure, governed, and scalable AI access.
- →Apply platform engineering and DevOps best practices through automation, CI/CD, and DataOps workflows using Python and scripting.
- →Collaborate with platform, AI/ML, application, infrastructure, and security teams to deploy, scale, and operate platform workloads.
- →Monitor, troubleshoot, and support production platforms in distributed, cloud-native environments, meeting reliability and SLA expectations.
- →Contribute to platform standards, reusable patterns, documentation, and runbooks to improve self-service and developer productivity.
