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Senior Cloud Engineer (Azure)

Ampcus Inc.


Job Location:

Dallas, TX - USA

Monthly Salary: Not provided by the employer
Posted: 17 September 2026 (11 hours ago)
Application Deadline: 15 December 2026
Vacancies: 1 Vacancy

Job Summary

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Location

Remote.

Contract

Contract

Key Requirements
  • Strong experience with Microsoft Azure Cloud
  • Expertise in cloud infrastructure deployment and operations
  • Hands-on experience with Azure services networking security and automation
  • Excellent communication and stakeholder management skills

We are seeking a professional to design implement and administer the Azure infrastructure behind our enterprise data and AI platform. This position is centered on Azure Databricks ADLS Gen2 Azure Data Factory and Azure Machine Learning. You will own the platform foundation infrastructure as code network and identity architecture compute governance observability and cost management and partner closely with our Databricks administration data engineering and data science teams.

Part One Infrastructure Ownership
  • Design implement and administer the Azure foundation the platform runs on.
  • Infrastructure as Code (Terraform-first): Author and maintain reusable Terraform modules.
  • Network & Security Architecture: Design and implement private networking and security posture.
  • Data Lake Infrastructure: Own ADLS Gen2 at the infrastructure layer.
  • Data Factory Platform Operations: Own ADF from the platform side.
  • AI/ML Platform Infrastructure: Provision and operate infrastructure supporting machine learning workloads.
  • Observability & Reliability: Build and maintain the monitoring layer.
  • FinOps & Capacity Planning: Own cost visibility and optimization.
  • CI/CD & Environment Management: Own deployment pipelines and promotion paths.
Part Two Databricks Platform Administration
  • Day-to-day Databricks operations are supported by a dedicated administration team.
  • Account & Workspace Administration: Account console configuration and workspace provisioning.
  • Unity Catalog: Metastore design and regional strategy.
  • Identity & Access: Entra ID integration and identity federation.
  • Compute Governance: Cluster policies and instance pools.
  • Cost & Usage Analysis: System tables and usage attribution.
  • Technical Partnership: Review platform configurations and support administration and data teams.
  • Cross-Boundary Diagnostics: Investigate and determine root causes of issues.
Role Scope
  • Production ETL/ELT pipeline development and Spark transformation work sit with the data engineering team.
  • Model development training and tuning sit with the data science team.
  • Dimensional modeling dbt development and BI/semantic layer work sit outside this role.
  • Day-to-day Databricks administration is handled by a dedicated team.
Required Qualifications
  • Experience: 6 years in cloud infrastructure or platform engineering with at least 4 years focused on Microsoft Azure.
  • Terraform: Expert-level hands-on experience.
  • Databricks Administration: Demonstrable hands-on administration experience.
  • Technical Partnership: A track record as a senior technical resource to adjacent teams.
  • Azure Networking & Security: Deep working knowledge of networking and security components.
  • Data Lake Architecture: ADLS Gen2 design and access control.
  • Azure Data Factory: Platform-side experience with integration runtimes and deployment automation.
  • Automation & Scripting: Strong Python plus PowerShell and/or Bash.
  • Spark & SQL Literacy: Working knowledge to diagnose infrastructure and configuration-level performance issues.
Preferred Qualifications
  • Databricks Asset Bundles the Terraform Databricks provider and workspace-as-code patterns.
  • Experience leading a Unity Catalog migration or multi-workspace consolidation.
  • Azure Machine Learning MLflow or model-serving infrastructure experience.
  • Kubernetes / AKS and containerized workloads.
  • Policy as code Azure Policy OPA Sentinel or Checkov.
  • Event-driven infrastructure Event Hubs Kafka or Stream Analytics.
  • Formal FinOps practice experience.
  • Multi-region or multi-tenant Databricks deployments.
Preferred Certifications
  • Databricks Certified Data Engineer Professional or a Databricks platform administrator credential.
  • Microsoft Certified: Azure Solutions Architect Expert (AZ-305).
  • Microsoft Certified: Azure Administrator Associate (AZ-104).
  • Microsoft Certified: DevOps Engineer Expert (AZ-400).
  • HashiCorp Certified: Terraform Associate.

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin age protected veterans or individuals with disabilities.

Required Experience:

Senior IC