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Control M Engineer

Job in Las Vegas, Clark County, Nevada, 89105, USA
Listing for: Insight Global
Full Time position
Listed on 2026-01-02
Job specializations:
  • IT/Tech
    Systems Engineer, IT Support
Job Description & How to Apply Below

Job Description

As a Control-M Engineer, youll be responsible for managing and maintaining the Control-M environment, ensuring the smooth execution of scheduled jobs across various business systems. Your day will involve monitoring job performance, resolving failures, optimizing workflows, and collaborating with application owners and infrastructure teams to support enterprise operations. Youll also handle system upgrades, enforce security protocols, and contribute to automation initiatives to enhance operational efficiency.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form () . The EEOC "Know Your Rights" Poster is available here (https://(Use the "Apply for this Job" box below). Your Rights
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To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:  .

Skills and Requirements

Strong proficiency in Control-M job scheduling, monitoring, and troubleshooting

Experience with Windows and Linux system administration

Advanced scripting skills in Power Shell and Bash Bachelors degree in Computer Science or related field

Familiarity with ITIL practices

Experience with automation and performance optimization in job scheduling tools

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