System Reliability Engineer - Compunnel : Job Details

We are seeking a System Reliability Engineer (SRE) with a Data Background to optimize application development, maintenance, and performance.

This role involves scripting, troubleshooting, cloud administration, and data visualization, supporting operational environments and ensuring system reliability.

Key Responsibilities

• Develop applications and select appropriate technical options for optimal performance.
• Write, debug, and test scripts using PowerShell, Bash, and Python.
• Troubleshoot network connectivity issues and provide resolution.
• Maintain and administer Windows-based virtual machines (VMs).
• Work with Azure and AWS services such as ADF, Databricks, Azure Key Vault, S3, ADLS.
• Develop Power BI dashboards for operations monitoring.
• Write and optimize queries in SQL/T-SQL and SparkSQL.
• Define and implement best practices for monitoring, logging, and automation.
• Collaborate with cross-functional teams to identify system performance issues and implement solutions.
• Manage configurations and ensure compliance with system standards.
• Provide technical documentation and mentorship to team members.
• Work in an Agile environment, supporting project delivery and continuous improvement.

• 10+ years of scripting experience (PowerShell, Bash, Python).
• 8+ years in Windows administration, network troubleshooting, and operational support (NOC or similar).
• 8+ years working with Azure and AWS cloud platforms.
• 8+ years experience with Power BI dashboard development.
• 8+ years of experience with SQL/T-SQL and SparkSQL.

• Experience with Azure Data Factory (ADF) pipeline development.
• Hands-on experience with Databricks, PySpark, and NiFi pipeline development.
• Familiarity with SQL Server Integration Services (SSIS).
• Experience with Azure DevOps and Git.
• Telecom domain experience (preferred but not mandatory).
• Analytical mindset, attention to detail, and problem-solving skills.
• Excellent communication and collaboration skills.
• Ability to work under pressure, manage dependencies and risks, and multitask.
• Strong understanding of Agile methodologies, software development lifecycle, and DevOps practices.