Mainframe Production Control Analyst

Cloudxtreme; Chennai District; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Cloudxtreme in Chennai, India is seeking a skilled Production Support professional to manage 24x7 operations for mainframe and distributed apps. You will monitor environments, analyze incidents, and perform RCA to prevent outages.

The role requires hands-on mainframe experience (z/OS), UNIX/Linux/Windows familiarity, and expertise in COBOL, JCL, VSAM, Easytrieve, and SORT. Experience with DB2/CICS/IMS and ITIL processes is essential.

Qualifications

• Strong experience with IBM Mainframe (z/OS).
• Hands-on experience in distributed application production support (Unix/Linux/Windows).
• Proficiency in COBOL, JCL, VSAM, Easytrieve, and SORT.
• Experience with DB2, CICS, IMS.
• Knowledge of job scheduling tools (CA-7, Control-M, TWS/OPC).
• Experience using APM tools such as Splunk, AppDynamics, ThousandEyes, or similar.
• Strong incident, problem, and change management (ITIL).
• Experience with log analysis, monitoring, and alerting tools.

Responsibilities

• Provide 24x7 production support for mainframe and distributed applications.
• Monitor batch, online, and distributed application environments to ensure system stability.
• Analyze and resolve production incidents across platforms (mainframe and distributed).
• Perform abend analysis, job restarts, and root cause analysis (RCA).
• Use Application Performance Monitoring (APM) tools to identify performance bottlenecks and proactively prevent incidents.
• Support performance tuning, capacity planning, and availability improvements.
• Coordinate with development, infrastructure, middleware, and database teams for issue resolution.
• Manage production releases, deployments, and change activities.
• Support critical business cycles (month-end, quarter-end, year-end).
• Ensure SLA adherence and compliance with ITIL processes.
• Maintain operational documentation, run books, and knowledge base articles.

Skills

IBM Mainframe (z/OS)

Distributed app prod. support

APM tools

ITIL incident/problem/change

Log analysis & monitoring

Shell/Python scripting

Cloud technologies (PCF)

Middleware tech (WebSphere/MQ/Tomcat/K

DB2/CICS/IMS

Job scheduling tools (CA-7/Control-M/T

Tools

Splunk

AppDynamics

ThousandEyes

CA-7

Control-M

TWS/OPC

WebSphere

MQ

Tomcat

Kafka

Shell scripting

Python

Job description

Role & responsibilities

• Provide 24x7 production support for mainframe and distributed applications


• Monitor batch, online, and distributed application environments to ensure system stability


• Analyze and resolve production incidents across platforms (mainframe and distributed)


• Perform abend analysis, job restarts, and root cause analysis (RCA)


• Use Application Performance Monitoring (APM) tools to identify performance bottlenecks and proactively prevent incidents


• Support performance tuning, capacity planning, and availability improvements


• Coordinate with development, infrastructure, middleware, and database teams for issue resolution


• Manage production releases, deployments, and change activities


• Support critical business cycles (month-end, quarter-end, year-end)


• Ensure SLA adherence and compliance with ITIL processes


• Maintain operational documentation, run books, and knowledge base articles

Preferred candidate profile

• Strong experience with IBM Mainframe (z/OS)


• Hands-on experience in distributed application production support (Unix/Linux/Windows environments)


• Proficiency in COBOL, JCL, VSAM, Easytrieve, and SORT


• Experience with DB2, CICS, IMS


• Knowledge of job scheduling tools (CA-7, Control-M, TWS/OPC)


• Experience using Application Performance Monitoring (APM) tools such as Splunk, AppDynamics, Thousand Eyes, or similar


• Strong skills in incident, problem, and change management (ITIL)


• Experience with log analysis, monitoring, and alerting tools

Good to Have

• Exposure to middleware technologies (WebSphere, MQ, Tomcat, Kafka, etc.)


• Exposure to Cloud Technologies (PCF Preferred)


• Knowledge of scripting (Shell, Python)


• Experience in BFSI or other high-availability environments