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Cloud Platform Engineer

  • Pennsylvania, Warren

  • 05/28/2026

  • Contract

  • Active

Job Description:

  • Job Summary
    We are seeking an experienced Cloud Platform Engineer to support the deployment, automation, and management of cloud-native platforms, data engineering workflows, and containerized applications within Azure and Databricks environments. The ideal candidate will have strong expertise in CI/CD automation, infrastructure provisioning, container orchestration, and cloud platform engineering.
    This role requires hands-on experience with Databricks deployments, Terraform, Azure services, Kubernetes-based platforms, and modern DevOps automation practices to support scalable and reliable enterprise cloud solutions.

    Key Responsibilities
    • Manage and execute environment promotion and release management activities across development, testing, staging, and production environments.
    • Deploy and manage data engineering workflows, machine learning models, applications, and agents within Databricks environments.
    • Lead containerized application deployments using Docker, Azure Kubernetes Service (AKS), and Azure Container Apps (ACA).
    • Design, build, and maintain CI/CD pipelines to automate code validation, testing, deployment, and release processes.
    • Implement monitoring, alerting, and observability solutions for Azure infrastructure and Databricks workflows to ensure platform reliability and availability.
    • Develop reusable and modular YAML configurations for CI/CD pipelines, Kubernetes deployments, and automation workflows.
    • Provision and manage cloud infrastructure and Databricks resources using Terraform modules.
    • Support Azure container registries, orchestration platforms, networking configurations, and cloud-native infrastructure operations.
    • Develop automation scripts and utilities using Python, Bash, and YAML.
    • Troubleshoot deployment, infrastructure, networking, and automation issues across cloud platforms.
    • Collaborate with engineering, DevOps, and data platform teams to improve platform scalability, automation, and operational efficiency.

    Required Qualifications
    • Strong expertise in writing clean, modular, and reusable YAML configurations for CI/CD pipelines and Kubernetes environments.
    • Proven hands-on experience deploying and managing Databricks assets using Databricks Asset Bundles (DABs) and Databricks CLI.
    • Experience writing Terraform modules for cloud infrastructure provisioning and Databricks provider management.
    • Strong understanding of Microsoft Azure services including Azure Container Registry (ACR), Azure Kubernetes Service (AKS), Azure Container Apps (ACA), and Azure networking.
    • Strong experience with CI/CD orchestration tools such as Azure DevOps, Azure Pipelines, GitHub Actions, or GitLab CI.
    • Strong scripting and automation skills using Python, Bash, and YAML.
    • Hands-on experience with Docker and containerized application deployments.
    • Experience implementing monitoring and observability solutions for cloud and data platforms.
    • Strong troubleshooting, analytical, and problem-solving skills.

    Preferred Qualifications
    • Experience supporting enterprise-scale cloud-native platforms and data engineering ecosystems.
    • Familiarity with machine learning deployment workflows and MLOps practices.
    • Experience with Infrastructure as Code (IaC) and DevOps best practices.
    • Strong collaboration and communication skills within cross-functional teams.

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