Senior BMC Discovery Engineer - Linux and Unix Administration

Job Title: BMC Discovery Engineer

Location: Remote (USA)

Job Description:

The Configuration Management Inventory BizOps team is looking for a BizOps Engineer who is experienced in Linux and/or Unix System administration. A perfect candidate would also have experience administering the BMC Discovery application.

In this role you will maintain the current BMC Discovery infrastructure which is dominantly Linux based.

All About You

• Provides technical leadership and support to a distributed team managing globally distributed infrastructure.

• Configure, deploy, and administer Linux-based systems across multiple environments.

• Administer the BMC Discovery Software which serves the role of Configuration Management Inventory collection from nearly every type of IT Infrastructure that exists.

• Troubleshoot Network Connectivity and/or Credential issues such as:

• SSH to Linux/Unix Platforms

• WMI Query and PowerShell to Windows

• SNMP to Network Devices

• API Connections (for example Credential and Connection to Cloud Providers AWS, Azure, GCP, etc.)

• Discuss, plan, and manage change implementation for upgrades, releases, migrations, and other maintenance.

• Monitor and respond to system alerts and failures.

• Develops plans to improve quality for each project that impacts the platform.

• Ensures platform procedures are developed with best practices and standards and are well documented.

• Helps to innovate on new methodologies to improve Business Operations.

• Coaches junior level employees on Business Operations best practices.

• Engage in and improve the whole lifecycle of services—from inception and design, through deployment, operation, and refinement.

• Scale systems sustainably through mechanisms like automation and evolve systems by pushing for changes that improve reliability and velocity.

• Practice sustainable incident response and blameless postmortems.

• Take a holistic approach to problem solving, by connecting the dots during a production event thru the various technology stack that makes up the platform, to optimize mean time to recover.