This is a permanent position with a global bank.

We are looking for an experienced Engineer with strong expertise in job scheduling using AutoSys and hands-on experience with monitoring tools such as Splunk or Dynatrace. The ideal candidate will have a solid background in Python scripting and Azure Cloud, with a preference for those coming from a banking or financial services environment.

Key Responsibilities:

• Design, develop, and maintain automated job schedules using AutoSys.
• Integrate and support monitoring solutions (e.g., Splunk, Dynatrace) to ensure system reliability and performance.
• Develop automation scripts and tools using Python to streamline operational workflows.
• Work closely with infrastructure, application, and DevOps teams to enhance automation and observability.
• Troubleshoot scheduling and monitoring issues and provide root cause analysis.
• Maintain and optimize Azure-based infrastructure automation.

Requirements:

• Minimum of 6 years of relevant experience in automation and infrastructure support.
• Proven expertise in AutoSys job scheduling and automation workflows.
• Strong Python scripting skills for process automation and tooling.
• Hands-on experience with Azure Cloud platforms and services.
• Solid understanding of monitoring tools such as Splunk or Dynatrace.
• Prior experience in the banking or financial services industry is highly advantageous.
• Bachelor's degree in Computer Science, Engineering, or Information Technology is preferred.