Azure Cloud Infrastructure Engineer- remote

Calance; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

Calance is seeking an Azure Cloud Infrastructure Engineer to support and improve an established cloud platform. This hands-on role focuses on helping users operate, troubleshoot, and derive more value from Azure services already in place.

The engagement is expected to last 12 to 24 months, with potential for continued work. The successful candidate will provide continuity for an existing support function and help transition responsibilities before October.

Qualifications

• Hands on experience supporting Microsoft Azure environments in production.
• Experience with Azure SQL Data Warehouse or Azure Synapse Analytics.
• Experience with Azure Data Lake Storage.
• Strong Terraform experience for infrastructure provisioning and service configuration.
• Ability to troubleshoot cloud platform performance, failures, and connectivity issues.
• Experience reviewing logs, monitoring data, and operational telemetry.
• Working knowledge of Python for light automation or data pipeline support.
• Strong communication skills and the ability to work directly with technical and nontechnical users.
• Ability to work independently, prioritize issues, and provide practical recommendations.

Responsibilities

• Support existing Azure cloud infrastructure, including Azure SQL Data Warehouse and Azure Data Lake Storage.
• Provision and configure Azure services using Terraform.
• Troubleshoot Synapse jobs and queries, including performance and run time issues.
• Review platform logs and telemetry to identify errors, bottlenecks, and operational issues.
• Investigate unexpected cloud cost increases and identify optimization opportunities.
• Support light data pipeline activities involving Python and legacy Alteryx workflows.
• Review reports and make targeted modifications when needed.
• Work directly with platform users to explain issues, recommend solutions, and improve day to day usability.
• Document findings, troubleshooting steps, and recommended improvements.

Skills

Azure

Terraform

Azure Synapse Analytics

Azure Data Lake Storage

Python

Log analysis

Communication skills

Independent working

Job description

Azure Cloud Infrastructure Engineer

Position Summary

We are seeking an Azure Cloud Infrastructure Engineer to support and improve an established cloud platform. This is a hands on role focused on helping users operate, troubleshoot, and get more value from the Azure services they already have in place. The engagement is expected to last 12 to 24 months, with potential for continued work. The successful candidate will provide continuity for an existing support function and help transition responsibilities before the end of October.

Key Responsibilities

• Support existing Azure cloud infrastructure, including Azure SQL Data Warehouse and Azure Data Lake Storage
• Provision and configure Azure services using Terraform
• Troubleshoot Synapse jobs and queries, including investigating performance and run time issues
• Review platform logs and telemetry to identify errors, bottlenecks, and operational issues
• Investigate unexpected cloud cost increases and help identify optimization opportunities
• Support light data pipeline activities involving Python and legacy Alteryx workflows
• Review existing reports and make targeted modifications when needed
• Work directly with platform users to explain issues, recommend solutions, and improve day to day usability
• Document findings, troubleshooting steps, and recommended improvements
• Collaborate with client and internal teams to resolve issues and maintain a stable operating environment

Required Qualifications

• Hands on experience supporting Microsoft Azure environments in production
• Experience with Azure SQL Data Warehouse or Azure Synapse Analytics
• Experience with Azure Data Lake Storage
• Strong Terraform experience for infrastructure provisioning and service configuration
• Ability to troubleshoot cloud platform performance, failures, and connectivity issues
• Experience reviewing logs, monitoring data, and operational telemetry
• Working knowledge of Python for light automation or data pipeline support
• Strong communication skills and the ability to work directly with technical and nontechnical users
• Ability to work independently, prioritize issues, and provide practical recommendations

Preferred Qualifications

• Experience with legacy Alteryx workflows
• Familiarity with Apache Airflow
• Experience with Azure cost analysis and optimization
• Experience modifying operational, analytical, or management reports
• Experience supporting data platforms and analytics environments
• Familiarity with CI/CD practices for infrastructure or data workloads
• Airflow experience is helpful but is not a primary requirement. The existing environment has in house Airflow knowledge available.

Ideal Candidate

The ideal candidate is a practical cloud engineer who enjoys solving operational problems. They can investigate why a Synapse query is slow, determine why a cost increased, find the relevant logs, make a safe infrastructure change, and clearly explain the resolution to the people using the platform.
This role is best suited for someone comfortable working in an existing environment, balancing support needs with incremental improvements, and helping users make effective use of the technology already available to them.