Arena Application / Production Support SeniorEngineer

We are looking for an experienced Arena Application Support Engineer to maintain and support Arena and related enterprise applications across production and non-production environments. The ideal candidate should have a strong technical foundation in Unix/Linux, shell scripting, Python, cloud fundamentals and Hadoop support, along with experience in application monitoring, incident management and production operations.

The candidate will be responsible for monitoring application health, resolving incidents, automating operational activities, coordinating with cross-functional teams and ensuring application availability within agreed service levels.

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.

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.

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.

Educational requirements

Bachelor of Engineering

Technology->OpenSystem->Python - OpenSystem->Python,Technology->Hadoop->Hadoop Ecosystem

Experience: 9-11 years