The Chance

We are looking for a Cloud and Batch Operations Engineer with 34 years of hands-on experience in enterprise production environments support with a strong focus on batch scheduling, job monitoring, and workflow troubleshooting. This role involves working across Linux, Windows, or Mainframe platforms, leveraging tools such as Control M, Autosys, StoneBranch UAC, BMC, or Tivoli, along with Splunk for log analysis and monitoring. You will use scripting skills to automate operational tasks and follow ITSM processes using ServiceNow. This opportunity is ideal for candidates with strong analytical skills who enjoy ensuring reliability and efficiency of time critical batch and cloud workloads.

Your Key Responsibilities

- Monitor, manage, and troubleshoot batch jobs using enterprise batch scheduling tools such as Control M, Autosys, StoneBranch UAC, BMC, or Tivoli
- Perform job monitoring, workflow analysis, and bottleneck troubleshooting to ensure timely and reliable batch execution
- Analyze logs and system behavior using Splunk and other monitoring tools to proactively identify and resolve issues
- Follow ITSM processes using ServiceNow for incident, change, and problem management
- Support production environments across Linux, Windows, or Mainframe platforms

Must haves

- Hands on experience with batch scheduling tools (Control M, Autosys, StoneBranch UAC, BMC, or Tivoli) mandatory
- Strong log analysis and job monitoring skills, with the ability to troubleshoot workflow failures
- Experience with scripting languages such as Python, PowerShell, or Shell for automation and troubleshooting




- Working knowledge of Splunk for monitoring and operational analysis
- Practical understanding of ITSM processes and tools, preferably ServiceNow
- Exposure to at least one operating system: Linux, Windows, or Mainframe

Good to have

- Basic cloud knowledge and understanding of cloud-based workloads
- Experience working in hybrid or enterprise production environments
- Familiarity with performance tuning and capacity analysis for batch workloads
- Exposure to automation frameworks or job orchestration enhancements
- Strong analytical skills with the ability to identify recurring issues and improvement areas
- Good documentation and operational handover experience

Skills and attributes for success

- Solid working knowledge of Linux, Windows, or Mainframe environments with operational mindset
- Ability to work effectively in production operations, collaborate across teams, and proactively prevent recurring issues
- Strong analytical and troubleshooting skills, especially in log analysis, job monitoring, and workflow bottleneck identification
- Willingness to work in a 24x7 rotational shift-based support environment.
- You will be responsible for executing tasks with increasing autonomy, applying sound judgment within defined parameters, and contributing to team outcomes. You are expected to demonstrate initiative, resolve routine issues independently, and support junior colleagues.
- You will anticipate and identify risks within engagements and share any issues with senior members of the team.
- In line with EY commitment to quality, youll confirm that work is of high quality and is reviewed by the next-level reviewer.

📌 TechOps-DE-CloudOps-Cloud and Batch Operations Engineer-Staff (Hyderabad)
🏢 EY
📍 Hyderabad