Arena Application / Production Support Engineer

Infosys

Hyderabad City Taluka

On-site

PKR 1,800,000 - 2,800,000

Full time

14 days+

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Job summary

Infosys Hyderabad is seeking an Operations Engineer to administer and monitor the Arena application in production and pre-production environments. The role involves routine health checks, performance monitoring, log analysis and scripting to automate tasks.

You will troubleshoot production issues, coordinate with infrastructure and engineering teams, and support Hadoop ecosystems (HDFS, Hive) with incident management and ITSM tooling. Strong Unix/Linux, shell and Python skills are required.

Qualifications

  • Strong working knowledge of Unix/Linux commands.
  • Hands-on experience in shell scripting for task automation and operational support.
  • Working knowledge of Python scripting.
  • Understanding of cloud-computing fundamentals, preferably AWS.
  • Experience or working knowledge of the Hadoop ecosystem (HDFS, Hive).
  • Experience supporting applications or tools in production environments.
  • Ability to analyze application, server and system logs.
  • Understanding of incident, problem and change-management processes.
  • Hands-on experience with ServiceNow or a similar ITSM platform.

Responsibilities

  • Administer, monitor and support the Arena application across production and non-production environments.
  • Perform routine health checks for applications, servers, services and components.
  • Monitor availability, performance, logs, alerts and scheduled processes.
  • Troubleshoot production issues, connectivity problems and environmental errors.
  • Analyze Unix/Linux logs and run shell scripts to identify issues.
  • Develop Python scripts to automate monitoring, reporting and health checks.
  • Provide operational support for Hadoop components (HDFS, Hive) and monitor Hadoop jobs.
  • Escalate complex issues to L2/L3 teams and coordinate resolutions.
  • Maintain SOPs, runbooks and knowledge articles; participate in on-call rotations.

Skills

Unix/Linux commands
Shell scripting
Python scripting
Hadoop ecosystem
HDFS
Hive
ITSM (ServiceNow)
Dynatrace
Splunk
Git
AWS
Incident management
Monitoring tools

Education

Bachelor's or master's degree in Computer Science / Information Technology / Engineering

Tools

Dynatrace
Splunk
ServiceNow
Git
AWS

Job description

Roles and Responsibilities

Administer, monitor and support the Arena application across production and non-production environments.
Perform routine application, server, service and component health checks.
Monitor application availability, system performance, logs, alerts and scheduled processes.
Troubleshoot production issues, application failures, connectivity problems and environmental errors.
Analyze Unix/Linux logs and execute commands to identify application and server-level issues.
Develop and maintain shell scripts to automate routine monitoring and support activities.
Use Python to automate repetitive operational tasks, reporting and health checks.
Provide operational support for Hadoop ecosystem components, including HDFS and Hive.
Monitor Hadoop jobs and investigate job failures, storage issues and data-processing problems.
Perform initial analysis and troubleshooting before escalating complex issues to L2/L3, infrastructure or engineering teams.
Handle incidents, service requests, problems and changes through ServiceNow or a similar ITSM platform.
Ensure tickets are prioritized, updated and resolved within defined SLA timelines.
Perform root-cause analysis for recurring incidents and coordinate permanent fixes with relevant technical teams.
Support application services during server patching, maintenance, deployment and release activities.
Coordinate with infrastructure, database, network, cloud and application teams for issue resolution.
Troubleshoot performance bottlenecks, access-related problems and environmental configuration issues.
Maintain SOPs, runbooks, troubleshooting guides, knowledge articles and operational documentation.
Participate in shift-based support and on-call rotations based on project requirements.
Provide timely incident and service-status updates to technical and business stakeholders.

Additional Responsibilities

Strong analytical and troubleshooting ability.
Ownership of incidents from assignment through resolution.
Ability to prioritize tasks in a production-support environment.
Effective collaboration with cross-functional teams.
Customer-focused approach and clear stakeholder communication.
Ability to work independently and within a shift-based support team.
Willingness to learn new applications, tools and technologies.
Education
Bachelor's or master's degree in Computer Science, Information Technology, Engineering or a related discipline.

Technical Requirements

Strong working knowledge of Unix/Linux commands and operating-system fundamentals.
Hands-on experience in shell scripting for task automation and operational support.
Working knowledge of Python scripting.
Understanding of cloud-computing fundamentals, preferably AWS.
Experience or working knowledge of the Hadoop ecosystem.
Knowledge of HDFS and Hive.
Experience supporting applications or tools in production environments.
Ability to analyze application, server and system logs.
Understanding of incident, problem and change-management processes.
Hands-on experience with ServiceNow or a similar ITSM platform.
Experience working with monitoring tools such as Dynatrace or Splunk.
Basic understanding of Git or another version-control system.
Strong troubleshooting, analytical and problem-solving skills.
Good written and verbal communication skills.
The internal Arena requirements include Hadoop ecosystem knowledge, particularly HDFS and Hive, monitoring through Dynatrace and Splunk, Python-based automation, scripting, Git, Linux/Unix and cloud fundamentals.
Apache Hadoop documentation also confirms that Hadoop functionality is managed extensively through shell commands, scripts and runtime environment variables.
Preferred Skills
Experience supporting Arena, Alation, Manta or similar enterprise tools.
Exposure to AWS services and cloud-based application environments.
Knowledge of Rally for user-story and feature tracking.
Experience with application monitoring and log-analysis tools.
Basic understanding of SQL and relational databases.
Knowledge of scheduling and batch-processing tools.
Experience with access, user-role and permission management.
Familiarity with release, deployment and server-patching activities.
Exposure to automation and continuous service-improvement initiatives.
Experience working in a 24/7 or globally distributed support environment.

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