Description

You will own the development and maintenance of complex operational workflows and monitoring systems.

Responsibilities

• Design, develop, and maintain Control-M job workflows and schedules, optimizing batch processes.
• Configure, implement, and maintain AppDynamics APM agents, building dashboards and alerts for proactive monitoring.
• Create and optimize SPL queries, dashboards, and alerts within Splunk from various log sources.
• Develop automation scripts using Python, Shell, PowerShell, or Perl to automate repetitive tasks across monitoring and scheduling.
• Integrate Control-M, Splunk, and monitoring workflows using scripts and APIs.

Required Skills

• 7+ years of hands-on experience with Control-M batch scheduling.
• Strong proficiency in AppDynamics configuration, performance analysis, and building health rules.
• Hands-on experience developing SPL queries, dashboards, and data onboarding pipelines in Splunk.
• Strong scripting skills in Python, Shell, PowerShell, or Perl.
• Understanding of application logs, performance metrics, and distributed systems.
• Experience working in Linux/Unix and/or Windows environments.
• Familiarity with Control-M API integrations.
• Strong analytical, debugging, and problem-solving capabilities.

Key Skills

Education

Any Gradute